Soil carbon emission determination method, device, electronic device and storage medium

Abstract

The present invention provides a method, device, electronic device, and storage medium for determining soil carbon emissions, relating to the fields of satellite remote sensing and carbon emission technology. The method comprises the following steps: obtaining a first remote sensing image of a soil area to be measured before plowing and a second remote sensing image after plowing; determining a first change in organic matter and a second change in total nitrogen in the soil area to be measured after plowing based on the first and second remote sensing images; determining carbon dioxide and methane release based on the first changes; and determining nitrogen oxide release based on the second changes; and determining soil carbon emissions corresponding to the soil area to be measured based on the carbon dioxide, methane, and nitrogen oxide releases. Using the two remote sensing images of the soil area to be measured before and after plowing, the method determines the major greenhouse gases produced by soil plowing, namely, carbon dioxide, methane, and nitrogen oxide releases, thereby more comprehensively and accurately determining soil carbon emissions.

Description

Technical Field

[0001] The present invention relates to the field of satellite telemetry and carbon emission technology, and in particular to a method, device, electronic device and storage medium for determining soil carbon emissions. Background Art

[0002] Soil tillage and cultivation, such as soil reclamation, release greenhouse gases into the atmosphere through microbial decomposition and chemical reactions of organic matter. Soil carbon emissions, the sum of the carbon equivalents produced by these activities, are a crucial component of the global carbon cycle and a major contributor to global warming. Therefore, monitoring and assessing the dynamics and spatial distribution of soil carbon emissions is crucial for understanding and controlling global climate change.

[0003] Existing methods for determining soil carbon emissions are often achieved through manual measurement or remote sensing. During soil tillage, the former uses instruments to absorb the amount of greenhouse gases released during tillage and monitor the resulting soil carbon emissions. However, due to the outdoor tillage operation, some greenhouse gases escape and cannot be captured during the manual measurement process. Consequently, even manual field measurements of soil carbon emissions using instrumental absorption still contain significant errors, resulting in inaccurate soil carbon emissions. The latter, however, lacks theoretical and experimental support for the relationship between soil tillage and spectral characteristics, resulting in significant uncertainty and error. Furthermore, the relationship model between soil tillage and soil carbon emissions lacks sufficient field observation data and verification, resulting in unreliable model accuracy. Furthermore, the general relationship model is an inversion model based on factors such as soil temperature, soil moisture, and tillage depth. While simple and easy to use, this inversion model tends to overlook the impact of differences in soil substance release, which can also lead to inaccurate soil carbon emissions.

[0004] In summary, whether the determination of soil carbon emissions is achieved through manual measurement or remote sensing measurement, their respective limitations will lead to poor accuracy of the final determined soil carbon emissions. Summary of the Invention

[0005] The present invention provides a soil carbon emission determination method, device, electronic device and storage medium, which are used to solve the defect of poor accuracy of the final determined soil carbon emissions caused by the existing soil carbon emission determination method. The method can determine the main greenhouse gases produced during soil tillage, namely carbon dioxide release, methane release and nitrogen oxide release, through two remote sensing images of the soil area to be tested before and after tillage, so as to more comprehensively and accurately determine the soil carbon emissions corresponding to the soil area to be tested.

[0006] The present invention provides a method for determining soil carbon emissions, comprising:

[0007] Acquire a first remote sensing image of the soil area to be measured before plowing and a second remote sensing image of the soil area after plowing;

[0008] determining, based on the first remote sensing image and the second remote sensing image, a first change in organic matter and a second change in total nitrogen in the soil region to be tested after tillage;

[0009] determining the amount of carbon dioxide released and the amount of methane released based on the first change; and determining the amount of nitrogen oxide released based on the second change;

[0010] The soil carbon emission corresponding to the soil area to be measured is determined according to the carbon dioxide emission, the methane emission, and the nitrogen oxide emission.

[0011] According to a method for determining soil carbon emissions provided by the present invention, the method determines a first change in organic matter after tillage and a second change in total nitrogen after tillage in the soil area to be measured based on the first remote sensing image and the second remote sensing image, including: determining, based on the first remote sensing image and the second remote sensing image, the change in organic matter concentration at different depths and the change in total nitrogen concentration at the different depths in the soil area to be measured; determining the first change in organic matter after tillage based on the change in organic matter concentration at the different depths; and determining the second change in total nitrogen after tillage based on the change in total nitrogen concentration at the different depths.

[0012] According to a method for determining soil carbon emissions provided by the present invention, the soil carbon emissions corresponding to the soil area to be measured are determined based on the carbon dioxide release, the methane release, and the nitrogen oxide release, including: determining the carbon dioxide equivalent of methane based on the methane release; determining the carbon dioxide equivalent of nitrogen oxides based on the nitrogen oxide release; and determining the soil carbon emissions corresponding to the soil area to be measured based on the carbon dioxide release, the carbon dioxide equivalent of methane, and the carbon dioxide equivalent of nitrogen oxides.

[0013] According to a method for determining soil carbon emissions provided by the present invention, the method determines the change in organic matter concentration of soil at different depths in the soil area to be measured based on the first remote sensing image and the second remote sensing image, including: performing the following operations for each of the different depths: obtaining an organic matter concentration assessment model corresponding to the depth, the organic matter concentration assessment model being constructed based on red light reflectance samples, near-infrared reflectance samples, and short-wave infrared reflectance samples of remote sensing image samples corresponding to regional samples, and organic matter concentration samples of soil samples in the regional samples at the depth; inputting the red light reflectance, near-infrared reflectance, and short-wave infrared reflectance of the first remote sensing image into the organic matter concentration assessment model to obtain a first organic matter concentration of the soil in the soil area to be measured at the depth output by the organic matter concentration assessment model; inputting the red light reflectance, near-infrared reflectance, and short-wave infrared reflectance of the second remote sensing image into the organic matter concentration assessment model to obtain a second organic matter concentration of the soil at the depth output by the organic matter concentration assessment model; and determining the change in organic matter concentration of the soil at the depth based on the first organic matter concentration and the second organic matter concentration.

[0014] According to a method for determining soil carbon emissions provided by the present invention, based on the first remote sensing image and the second remote sensing image, the change in total nitrogen concentration of the soil at different depths in the soil area to be tested is determined, including: performing the following operations for each of the different depths: obtaining a total nitrogen concentration assessment model corresponding to the depth, the total nitrogen concentration assessment model being constructed based on near-infrared reflectivity samples of the remote sensing image samples corresponding to the regional samples, and total nitrogen concentration samples of the soil samples in the regional samples at the depth; inputting the near-infrared reflectivity of the first remote sensing image into the total nitrogen concentration assessment model to obtain a first total nitrogen concentration of the soil in the soil area to be tested at the depth output by the total nitrogen concentration assessment model; inputting the near-infrared reflectivity of the second remote sensing image into the total nitrogen concentration assessment model to obtain a second total nitrogen concentration of the soil at the depth output by the total nitrogen concentration assessment model; and determining the change in the total nitrogen concentration of the soil at the depth based on the first total nitrogen concentration and the second total nitrogen concentration.

[0015] According to a method for determining soil carbon emissions provided by the present invention, the organic matter concentration assessment model corresponding to the depth is constructed based on the following steps: obtaining remote sensing image samples corresponding to the regional samples, and red light reflectance samples, near-infrared reflectance samples and short-wave infrared reflectance samples of the remote sensing image samples; obtaining organic matter concentration samples of the soil samples in the regional samples at the depth; determining a first maximum information coefficient based on the red light reflectance samples and the organic matter concentration samples; determining a second maximum information coefficient based on the near-infrared reflectance samples and the organic matter concentration samples; and determining a third maximum information coefficient based on the short-wave infrared reflectance samples and the organic matter concentration samples; based on the first maximum information coefficient, the second maximum information coefficient and the third maximum information coefficient, constructing the organic matter concentration assessment model corresponding to the depth according to the red light reflectance samples, the near-infrared reflectance samples, the short-wave infrared reflectance samples and the organic matter concentration samples.

[0016] According to a method for determining soil carbon emissions provided by the present invention, based on the first maximum information coefficient, the second maximum information coefficient and the third maximum information coefficient, according to the red light reflectance sample, the near-infrared reflectance sample, the short-wave infrared reflectance sample and the organic matter concentration sample, an organic matter concentration assessment model corresponding to the depth is constructed, including: when the first maximum information coefficient, the second maximum information coefficient and the third maximum information coefficient are all greater than a preset coefficient threshold, according to the red light reflectance sample, the near-infrared reflectance sample, the short-wave infrared reflectance sample and the organic matter concentration sample, an organic matter concentration assessment model corresponding to the depth is constructed.

[0017] The present invention also provides a soil carbon emission determination device, comprising:

[0018] An acquisition module, configured to acquire a first remote sensing image of the soil area to be measured before plowing and a second remote sensing image of the soil area after plowing;

[0019] The processing module is used to determine, based on the first remote sensing image and the second remote sensing image, a first change in organic matter and a second change in total nitrogen in the soil area to be measured after tillage; determine, based on the first change, a carbon dioxide release and a methane release; and determine, based on the second change, a nitrogen oxide release; and determine, based on the carbon dioxide release, the methane release, and the nitrogen oxide release, a soil carbon emission corresponding to the soil area to be measured.

[0020] The present invention also provides an electronic device, comprising a memory, a processor, and a determination program stored in the memory and capable of running on the processor, wherein when the processor executes the program, any of the soil carbon emission determination methods described above is implemented.

[0021] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the soil carbon emission determination methods described above.

[0022] The present invention also provides a computer program product, comprising a computer program, which, when executed by a processor, implements any of the soil carbon emission determination methods described above.

[0023] The method, device, electronic device and storage medium for determining soil carbon emissions provided by the present invention obtain a first remote sensing image of a soil area to be measured before plowing and a second remote sensing image after plowing; based on the first remote sensing image and the second remote sensing image, determine a first change in organic matter and a second change in total nitrogen in the soil area to be measured after plowing; based on the first change, determine the carbon dioxide release and methane release; and based on the second change, determine the nitrogen oxide release; and based on the carbon dioxide release, the methane release and the nitrogen oxide release, determine the soil carbon emissions corresponding to the soil area to be measured. This method uses two remote sensing images of the soil area to be tested before and after plowing, takes into account the soil plowing depth, and determines the main greenhouse gases produced during soil plowing, namely the release of carbon dioxide, methane and nitrogen oxides. It can more comprehensively and accurately determine the soil carbon emissions corresponding to the soil area to be tested, so as to prepare for the subsequent effective analysis of the spatial distribution and temporal variation of soil carbon emissions, and the main factors affecting soil carbon emissions, providing a scientific basis for soil management and protection. In addition, it can also effectively evaluate the contribution and impact of soil carbon emissions on global climate change, and provide reference data for reducing greenhouse gas emissions and responding to global warming. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0025] Figure 1 It is a schematic flow chart of the method for determining soil carbon emissions provided by the present invention;

[0026] Figure 2It is a structural schematic diagram of the soil carbon emission determination device provided by the present invention;

[0027] Figure 3 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0028] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0029] It should be noted that the electronic equipment involved in the embodiments of the present invention may include: at least one of: a satellite, a drone and other equipment.

[0030] Optionally, other devices may include: computers, mobile terminals, wearable devices, etc.

[0031] In the case where the electronic device is other devices, the other devices can be connected to the satellite or drone via wireless communication technology.

[0032] Optionally, the wireless communication technology may include but is not limited to one of the following: the 4th Generation mobile communication technology (4G) and the 5th Generation mobile communication technology (5G), etc.

[0033] It should be noted that the execution subject involved in the embodiment of the present invention can be a soil carbon emission determination device or an electronic device. The embodiment of the present invention will be further explained below using the electronic device as an example.

[0034] like Figure 1 FIG. 1 is a flow chart of a method for determining soil carbon emissions provided by the present invention, which may include:

[0035] 101. Obtain a first remote sensing image of a soil area to be measured before plowing and a second remote sensing image of the soil area to be measured after plowing.

[0036] The soil area to be tested refers to the agricultural activity area where the soil carbon emissions are to be tested.

[0037] A remote sensing image is a remote sensing image that has at least five bands of data, namely red, green, blue, near-red and short-wave infrared, such as satellite remote sensing images or drone remote sensing images. For example, the spatial resolution of the remote sensing image is ≤10 meters (m) and the cloud cover is ≤5%.

[0038] The first remote sensing image is a recent remote sensing image of a scene before the plowing farming activity begins.

[0039] The second remote sensing image is a recent remote sensing image of a scene after the plowing farming activity is completed.

[0040] When the electronic device is a satellite or a drone, the electronic device can directly collect a first remote sensing image of the soil area to be measured before plowing and a second remote sensing image of the soil area to be measured after plowing through a camera device when the soil area to be measured is detected; when the electronic device is other devices, after collecting the first remote sensing image and the second remote sensing image, the satellite or drone can send the two remote sensing images to the electronic device, and the electronic device then receives the first remote sensing image and the second remote sensing image to provide data support for the subsequent determination of the change in organic matter and the change in total nitrogen in the soil area to be measured after plowing.

[0041] It should be noted that remote sensing technology, with its advantages of wide coverage, short repetition period, large data volumes, and low cost, is suitable for monitoring and analyzing soil carbon emissions over large scales and long time series. Soil tillage changes soil structure, moisture content, organic matter release, and total nitrogen release, thereby affecting the soil's spectral characteristics. This means that the spectral characteristics of the first remote sensing image of the soil area being measured before tillage and the second remote sensing image after tillage will be different.

[0042] 102. Determine a first change in organic matter and a second change in total nitrogen in the soil area to be measured after tillage based on the first remote sensing image and the second remote sensing image.

[0043] Among them, organic matter is the general term for all carbon-containing compounds in the soil except carbonates, and is an important component of the solid phase of the soil.

[0044] The first change of organic matter after tillage refers to the total change of organic matter before and after soil tillage.

[0045] Total nitrogen refers to the sum of the release of various forms of nitrogen in the soil. It is an important basis for evaluating soil fertility and the rational use of nitrogen fertilizers.

[0046] The second change of total nitrogen after tillage refers to the total change of total nitrogen before and after soil tillage.

[0047] Since the spectral characteristics of the first remote sensing image and the second remote sensing image are different, after acquiring the first remote sensing image and the second remote sensing image, the electronic device can perform spectral characteristic analysis on the two remote sensing images to determine a first change in organic matter after tillage and a second change in total nitrogen after tillage in the soil area to be tested, thereby providing data support for the subsequent determination of the soil carbon emissions corresponding to the soil area to be tested.

[0048] It should be noted that the timing of the electronic device determining the first change amount and the timing of the electronic device determining the second change amount is not limited.

[0049] 103. Determine the carbon dioxide release amount and the methane release amount based on the first change; and determine the nitrogen oxide release amount based on the second change.

[0050] The amount of carbon dioxide released is the amount of organic matter in the soil converted after tillage. The unit of carbon dioxide release is kilograms (kg).

[0051] Methane release is also obtained by converting organic matter in the soil after tillage. The unit of methane release is kg.

[0052] Nitrogen oxide release, also known as the mass of nitrogen oxides, is the total amount of nitrogen in the soil that is converted into nitrogen oxides. The unit of nitrogen oxide release is kg.

[0053] The electronic device calculates the migration amounts of carbon and nitrogen in the soil by analyzing the spectral characteristics of the remote sensing image. Specifically, after determining a first change in organic matter after tillage, the electronic device can calculate the first change to obtain a more accurate amount of carbon dioxide and methane release; after determining a second change in total nitrogen after tillage, the electronic device can calculate the second change to obtain a more accurate amount of nitrogen oxide release.

[0054] It should be noted that there is no limit to the timing of the electronic device determining the amount of carbon dioxide released, the amount of methane released, and the amount of nitrogen oxide released.

[0055] 104. Based on the carbon dioxide release, methane release and nitrogen oxide release, determine the soil carbon emissions corresponding to the soil area to be tested.

[0056] Among them, soil carbon emissions refer to the carbon dioxide released due to the decomposition of organic matter in the soil by microorganisms.

[0057] In the process of estimating the soil carbon emissions generated by soil tillage, the electronic equipment can comprehensively calculate the carbon dioxide release, the methane release and the nitrogen oxide release after determining the main greenhouse gases generated by soil tillage, namely the carbon dioxide release, the methane release and the nitrogen oxide release, and obtain the soil carbon emissions corresponding to the soil area to be tested with high accuracy, providing a relatively comprehensive and complete solution to the subsequent agricultural carbon footprint accounting and agricultural carbon sink calculation in terms of soil carbon emissions.

[0058] The entire process described above uses remote sensing data (i.e., the first remote sensing image and the second remote sensing image) to explore the spatial distribution and temporal changes of soil carbon emissions, quantify the uncertainty of carbon emissions caused by tillage behaviors such as soil reclamation, specifically analyze the migration of carbon and nitrogen elements in the soil, provide carbon emission inversion models based on remote sensing data (such as relationship models and correlation models), and establish the interaction and feedback mechanism between soil tillage behavior and global climate change.

[0059] In addition, monitoring the impact of soil tillage on the soil carbon cycle can further assess the proportion of soil tillage in the earth's carbon emissions, promote the improvement of soil management levels and optimize the methods and frequency of soil tillage, and at the same time, effectively reduce the intensity of soil carbon emissions.

[0060] In an embodiment of the present invention, a first remote sensing image of a soil area to be measured before plowing and a second remote sensing image after plowing are obtained; based on the first remote sensing image and the second remote sensing image, a first change in organic matter after plowing and a second change in total nitrogen after plowing in the soil area to be measured are determined; based on the first change, the amount of carbon dioxide released and the amount of methane released are determined; and based on the second change, the amount of nitrogen oxide released is determined; and based on the second change, the amount of soil carbon emissions corresponding to the soil area to be measured are determined. This method uses two remote sensing images of the soil area to be tested before and after plowing, takes into account the soil plowing depth, and determines the main greenhouse gases produced during soil plowing, namely the release of carbon dioxide, methane and nitrogen oxides. It can more comprehensively and accurately determine the soil carbon emissions corresponding to the soil area to be tested, so as to prepare for the subsequent effective analysis of the spatial distribution and temporal variation of soil carbon emissions, and the main factors affecting soil carbon emissions, providing a scientific basis for soil management and protection. In addition, it can also effectively evaluate the contribution and impact of soil carbon emissions on global climate change, and provide reference data for reducing greenhouse gas emissions and responding to global warming.

[0061] In addition, the embodiment of the present invention simulates a dynamic process model of soil carbon emission based on the mechanism of soil circulation, providing a theoretical basis and technical support for monitoring soil tillage and carbon emission.

[0062] To better understand the embodiments of the present invention, the method for determining soil carbon emissions is described in detail below:

[0063] Optionally, the electronic device obtains a first remote sensing image of the soil area to be measured before plowing and a second remote sensing image after plowing, which may include: the electronic device obtains a first initial remote sensing image of the soil area to be measured before plowing and a second initial remote sensing image after plowing; the electronic device preprocesses the first initial remote sensing image to obtain the first remote sensing image, and preprocesses the second initial remote sensing image to obtain the second remote sensing image.

[0064] The preprocessing may include at least one of the following: radiation correction, geometric correction, and atmospheric correction.

[0065] The radiation correction is used to correct the radiation distortion of the initial remote sensing image (such as the first initial remote sensing image and / or the second initial remote sensing image).

[0066] Geometric correction is used to correct the geometric deformation of the initial remote sensing image that may be caused by factors such as satellite orbit, earth curvature, and sensor characteristics. Through geometric correction, each pixel in the initial remote sensing image can be relocated to the correct geographic coordinates.

[0067] Atmospheric correction is used to remove the effects of atmospheric conditions (such as atmospheric scattering and / or absorption) on the initial remote sensing image. Due to changes in atmospheric conditions, the initial remote sensing image may be "distorted", which causes the color and brightness of ground objects to change. Atmospheric correction can more accurately analyze the true reflectivity or emissivity of the ground.

[0068] After the electronic device obtains a first initial remote sensing image of the soil area to be measured before plowing, since the quality of the first initial remote sensing image is poor, the electronic device can preprocess the first initial remote sensing image to eliminate noise or errors in the first initial remote sensing image, improve the quality of the first initial remote sensing image, and obtain a first remote sensing image with higher accuracy; similarly, after the electronic device obtains a second initial remote sensing image of the soil area to be measured after plowing, since the quality of the second initial remote sensing image is poor, the electronic device can preprocess the second initial remote sensing image to eliminate noise or errors in the second initial remote sensing image, improve the quality of the second initial remote sensing image, and obtain a second remote sensing image with higher accuracy.

[0069] It should be noted that the electronic device has no limitation on the time sequence of pre-processing the first initial remote sensing image and the second initial remote sensing image.

[0070] In some embodiments, the electronic device determines a first change in organic matter after plowing and a second change in total nitrogen after plowing in the soil area to be tested based on the first remote sensing image and the second remote sensing image, which may include: the electronic device determines the change in organic matter concentration at different depths and the change in total nitrogen concentration at different depths in the soil area to be tested based on the first remote sensing image and the second remote sensing image; the electronic device determines the first change in organic matter after plowing based on the change in organic matter concentration at different depths; the electronic device determines the second change in total nitrogen after plowing based on the change in total nitrogen concentration at different depths.

[0071] Here, the depth refers to the depth from the ground surface to the interior of the ground. For example, different depths may include: 0-20 cm, 20 cm-40 cm, and 40 cm-60 cm.

[0072] Organic matter concentration, also known as soil organic matter release (SOM), refers to the amount of organic matter released in the soil. The unit of organic matter concentration is %.

[0073] The change in organic matter concentration refers to the local change in organic matter concentration at different depths before and after tillage. The unit of this change in organic matter concentration is kg / hectare (ha).

[0074] Total Nitrogen (TN) refers to the ratio of the sum of all forms of nitrogen in the soil to the mass of the soil. The unit of total nitrogen concentration is g / kg.

[0075] The total nitrogen concentration change refers to the local change in total nitrogen at different depths before and after tillage. The unit of total nitrogen concentration change is kg / ha.

[0076] In the process of determining the first change in organic matter after plowing, the electronic device can first perform spectral feature analysis on the first remote sensing image and the second remote sensing image to obtain the change in organic matter concentration of the soil at different depths in the soil area to be tested, and then calculate the change in organic matter concentration corresponding to all depths to obtain the first change; in the process of determining the second change in total nitrogen after plowing, the electronic device can first perform spectral feature analysis on the first remote sensing image and the second remote sensing image to obtain the change in total nitrogen concentration of the soil at different depths in the soil area to be tested, and then calculate the change in total nitrogen concentration corresponding to all depths to obtain the second change.

[0077] In some embodiments, the electronic device determines the change in organic matter concentration of soil at different depths in the soil area to be tested based on the first remote sensing image and the second remote sensing image, which may include: performing the following operations for each depth in the different depths: the electronic device obtains an organic matter concentration assessment model corresponding to the depth; the electronic device inputs the red light reflectivity, near-infrared reflectivity and short-wave infrared reflectivity of the first remote sensing image into the organic matter concentration assessment model, and obtains a first organic matter concentration of the soil at the depth in the soil area to be tested output by the organic matter concentration assessment model; the electronic device inputs the red light reflectivity, near-infrared reflectivity and short-wave infrared reflectivity of the second remote sensing image into the organic matter concentration assessment model, and obtains a second organic matter concentration of the soil at the depth output by the organic matter concentration assessment model; the electronic device determines the change in organic matter concentration of the soil at the depth based on the first organic matter concentration and the second organic matter concentration.

[0078] Among them, the organic matter concentration assessment model is constructed based on the red light reflectance samples, near-infrared reflectance samples and short-wave infrared reflectance samples of the remote sensing image samples corresponding to the regional samples, and the organic matter concentration samples at depth of the soil samples within the regional samples.

[0079] Red light reflectance, near-infrared reflectance and short-wave infrared reflectance are all remote sensing data / spectral features of remote sensing images.

[0080] Because the process for determining the change in organic matter concentration at different depths within the soil area being tested is the same, the following operations are performed for each depth:

[0081] The electronic device first obtains an organic matter concentration assessment model corresponding to the depth; then, the electronic device determines a first spectral feature of a first remote sensing image, namely, the red light reflectivity, near infrared reflectivity and short wave infrared reflectivity of the first remote sensing image, and inputs the first spectral feature into the organic matter concentration assessment model, calculates the first spectral feature through the organic matter concentration assessment model, and obtains a first organic matter concentration of the soil at a depth in the soil area to be measured; the electronic device determines a second spectral feature of a second remote sensing image, namely, the red light reflectivity, near infrared reflectivity and short wave infrared reflectivity of the second remote sensing image, and inputs the second spectral feature into the organic matter concentration assessment model, calculates the second spectral feature through the organic matter concentration assessment model, and obtains a second organic matter concentration of the soil at a depth output by the organic matter concentration assessment model; finally, the electronic device calculates the first organic matter concentration and the second organic matter concentration to obtain a change in the organic matter concentration of the soil at the depth.

[0082] Based on this, the electronic device can determine the first organic matter concentration and the second organic matter concentration corresponding to different depths of the soil in the soil area to be tested, and then determine the change in the organic matter concentration of the soil corresponding to different depths.

[0083] Optionally, the electronic device determines the change in organic matter concentration of the soil at a depth based on the first organic matter concentration and the second organic matter concentration, which may include: the electronic device determines the first target organic matter concentration based on the first conversion formula, and determines the second target organic matter concentration based on the second conversion formula; the electronic device determines the change in organic matter concentration of the soil at a depth based on the first change formula.

[0084] Among them, the first conversion formula is: C organic(H)前 =A1*SOM 前 ;

[0085] The second conversion formula is: C organic(H)后 =A2*SOM 后 ;

[0086] The first change formula is: △C organic(H) =C organic(H)前 -C organic(H)后 ;

[0087] C organic(H)前 represents the first target organic matter concentration, H represents the depth; A1 represents the first preset parameter, which is usually set to 2.8×10 6 ;SOM 前 Indicates the first organic matter concentration; C organic(H)后 represents the second target organic matter concentration; A2 represents the second preset parameter, which is usually set to 2.8×10 6 ;SOM 后 Indicates the second organic matter concentration; △C organic(H) Indicates the change in organic matter concentration.

[0088] The electronic device converts the first organic matter concentration into a first target organic matter concentration according to the first conversion formula; and converts the second organic matter concentration into a second target organic matter concentration according to the second conversion formula, and then subtracts the second organic matter concentration from the first target organic matter concentration to obtain the change in organic matter concentration at depth.

[0089] It should be noted that in the first and second conversion formulas, the soil bulk density is taken as 1.4 g / cm 3 .

[0090] Optionally, the first conversion formula and the second conversion formula can also be replaced by a first target conversion formula, and the first target conversion formula is: C organic-20cm =2.8×10 6 ×SOM (20) ; C organic-20cm Indicates the organic matter content per hectare of soil with a thickness of 20 cm, SOM (20)It indicates the organic matter concentration per hectare of soil with a thickness of 20 cm.

[0091] Specifically, when the depth H is 0-20 cm, the first change formula is: ΔC organic0-20 =C organic0-20前 -C organic0-20后 ;ΔC organic0-20 Indicates the change in organic matter concentration in the soil at 0-20cm; C organic0-20前 Indicates the first target organic matter concentration in the soil at 0-20cm; C organic0-20后 Indicates the second target organic matter concentration in the soil at 0-20cm.

[0092] When the depth H is 20cm-40cm, the first change formula is: ΔC organic20-40 =C organic20-40前 -C organic20-40后 ;ΔC organic20-40 Indicates the change in organic matter concentration in the soil at 20cm-40cm; C organic20-40前 Indicates the first target organic matter concentration in the soil at 20cm-40cm; C organic20-40后 Indicates the second target organic matter concentration in the soil at 20cm-40cm.

[0093] When the depth H is 40cm-60cm, the first change formula is: △C organic40-60 =C organic40-60前 -C organic40-60后 ; △C organic40-60 Indicates the change in organic matter concentration in the soil between 40cm and 60cm; C organic40-60前 Indicates the first target organic matter concentration in the soil at 40cm-60cm; C organic40-60后 Indicates the second target organic matter concentration in the soil at 40cm-60cm.

[0094] In some embodiments, the electronic device determines the change in total nitrogen concentration of the soil at different depths in the soil area to be tested based on the first remote sensing image and the second remote sensing image, which may include: performing the following operations for each depth in the different depths: the electronic device obtains a total nitrogen concentration assessment model corresponding to the depth; the electronic device inputs the near-infrared reflectivity of the first remote sensing image into the total nitrogen concentration assessment model to obtain a first total nitrogen concentration of the soil at the depth in the soil area to be tested output by the total nitrogen concentration assessment model; the electronic device inputs the near-infrared reflectivity of the second remote sensing image into the total nitrogen concentration assessment model to obtain a second total nitrogen concentration of the soil at the depth output by the total nitrogen concentration assessment model; the electronic device determines the change in total nitrogen concentration of the soil at the depth based on the first total nitrogen concentration and the second total nitrogen concentration.

[0095] Among them, the total nitrogen concentration assessment model is constructed based on the near-infrared reflectance samples of the remote sensing image samples corresponding to the regional samples, and the total nitrogen concentration samples of the soil samples at depth within the regional samples.

[0096] Because the process for determining the change in total nitrogen concentration at different depths within the soil area being tested is the same, the following operations are performed for each depth:

[0097] The electronic device first obtains a total nitrogen concentration assessment model corresponding to the depth; then, the electronic device determines the near-infrared reflectivity of the first remote sensing image, and inputs the near-infrared reflectivity of the first remote sensing image into the total nitrogen concentration assessment model, calculates the near-infrared reflectivity of the first remote sensing image through the total nitrogen concentration assessment model, and obtains a first total nitrogen concentration of the soil at a depth in the soil area to be measured; the electronic device determines the near-infrared reflectivity of the second remote sensing image, and inputs the near-infrared reflectivity of the second remote sensing image into the total nitrogen concentration assessment model, calculates the near-infrared reflectivity of the second remote sensing image through the total nitrogen concentration assessment model, and obtains a second total nitrogen concentration of the soil at a depth output by the total nitrogen concentration assessment model; finally, the electronic device calculates the first total nitrogen concentration and the second total nitrogen concentration to obtain a change in the total nitrogen concentration of the soil at the depth.

[0098] Based on this, the electronic device can determine the first total nitrogen concentration and the second total nitrogen concentration corresponding to the soil at different depths in the soil area to be tested, and then determine the change in the total nitrogen concentration of the soil at different depths.

[0099] Optionally, the electronic device determines the change in total nitrogen concentration of the soil at a depth based on the first total nitrogen concentration and the second total nitrogen concentration, which may include: the electronic device determines the first target total nitrogen concentration based on a third conversion formula, and determines the second target total nitrogen concentration based on a fourth conversion formula; the electronic device determines the change in total nitrogen concentration of the soil at a depth based on the second change formula.

[0100] Among them, the third conversion formula is: C N(H)前 =A3*TN 前 ;

[0101] The fourth conversion formula is: C N(H)后 =A4*TN 后 ;

[0102] The second change formula is: △C N(H) =C N(H)前 -C N(H)后 ;

[0103] C N(H)前 represents the first target total nitrogen concentration, H represents the depth; A3 represents the third preset parameter, which is usually set to 2.8×103 TN 前 Indicates the first total nitrogen concentration; C N(H)后 Indicates the second target total nitrogen concentration; A4 indicates the fourth preset parameter, which is usually set to 2.8×10 3 TN 后 Indicates the second total nitrogen concentration; △C N(H) Indicates the change in total nitrogen concentration.

[0104] The electronic device converts the first total nitrogen concentration into a first target total nitrogen concentration according to the third conversion formula; and converts the second total nitrogen concentration into a second target total nitrogen concentration according to the fourth conversion formula, and then subtracts the second total nitrogen concentration from the first target total nitrogen concentration to obtain the change in total nitrogen concentration of the soil at depth.

[0105] It should be noted that in the third and fourth conversion formulas, the soil bulk density is taken as 1.4 g / cm 3 .

[0106] Optionally, the third conversion formula and the fourth conversion formula may be replaced by a second target conversion formula, which is: C N-20cm =2.8×10 3 ×TN (20) ; C N-20cm Indicates the total nitrogen content per hectare of soil with a thickness of 20 cm, TN (20) It indicates the total nitrogen concentration per hectare of soil with a thickness of 20 cm.

[0107] Specifically, when the depth H is 0-20 cm, the second variation formula is: ΔC N0-20 =C N0-20前 -C N0-20后 ; △C N0-20 Indicates the change in total nitrogen concentration in the soil at 0-20cm; C N0-20前 Indicates the first target total nitrogen concentration in the soil at 0-20cm; C N0-20后 Indicates the second target total nitrogen concentration in the soil at 0-20cm.

[0108] When the depth H is 20cm-40cm, the second change formula is: ΔC N20-40 =C N20-40前 -C N20-40后 ;ΔC N20-40 Indicates the change in total nitrogen concentration in the soil at 20cm-40cm; C N20-40前 Indicates the first target total nitrogen concentration in the soil at 20cm-40cm; C N20-40后 Indicates the second target total nitrogen concentration in the soil at 20cm-40cm.

[0109] When the depth H is 40cm-60cm, the second change formula is: ΔC N40-60 =C N40-60前 -C N40-60后 ;ΔC N40-60 Indicates the change in total nitrogen concentration in the soil at 40cm-60cm; C N40-60前 Indicates the first target total nitrogen concentration in the soil at 40cm-60cm; C N40-60后 Indicates the second target total nitrogen concentration in the soil at 40cm-60cm.

[0110] In some embodiments, a depth-corresponding organic matter concentration assessment model can be constructed based on the following steps: an electronic device obtains remote sensing image samples corresponding to regional samples, and red light reflectance samples, near-infrared reflectance samples, and short-wave infrared reflectance samples of the remote sensing image samples; the electronic device obtains organic matter concentration samples at depth of soil samples in the regional samples; the electronic device determines a first maximum information coefficient (MIC) based on the red light reflectance samples and the organic matter concentration samples; determines a second maximum information coefficient based on the near-infrared reflectance samples and the organic matter concentration samples; and determines a third maximum information coefficient based on the short-wave infrared reflectance samples and the organic matter concentration samples; the electronic device constructs a depth-corresponding organic matter concentration assessment model based on the first maximum information coefficient, the second maximum information coefficient, and the third maximum information coefficient, according to the red light reflectance samples, the near-infrared reflectance samples, the short-wave infrared reflectance samples, and the organic matter concentration samples.

[0111] The maximum information coefficient (MIC) is used to characterize the correlation between two variables, aiming to identify any possible relationship between the two variables, whether linear or nonlinear. Specifically, the first MIC is used to characterize the correlation between red light reflectance samples and organic matter concentration samples; the second MIC is used to characterize the correlation between near-infrared reflectance samples and organic matter concentration samples; and the third MIC is used to characterize the correlation between short-wave infrared reflectance samples and organic matter concentration samples.

[0112] Although the organic matter concentration assessment models corresponding to different depths are different, the construction process of all organic matter concentration assessment models is the same. Therefore, the following operations are performed for the organic matter concentration assessment models corresponding to each depth:

[0113] First, when the electronic device detects a regional sample, it obtains a remote sensing image sample corresponding to the regional sample, as well as a red light reflectance sample, a near-infrared reflectance sample, and a short-wave infrared reflectance sample of the remote sensing image sample; and obtains an organic matter concentration sample at a depth of the soil sample within the regional sample.

[0114] Then, the electronic device can determine the degree of correlation between the red light reflectance sample, the near-infrared reflectance sample and the short-wave infrared reflectance sample and the organic matter concentration sample based on the first correlation model. Specifically, the electronic device determines the first maximum information coefficient based on the red light reflectance sample and the organic matter concentration sample; determines the second maximum information coefficient based on the near-infrared reflectance sample and the organic matter concentration sample; and determines the third maximum information coefficient based on the short-wave infrared reflectance sample and the organic matter concentration sample.

[0115] Finally, the electronic device, after fully studying the correlation between the red light reflectance sample, the near-infrared reflectance sample and the short-wave infrared reflectance sample and the organic matter concentration sample, that is, after quantitatively evaluating the relationship between the red light reflectance sample, the near-infrared reflectance sample and the short-wave infrared reflectance sample based on the organic matter concentration sample, constructs a relationship model corresponding to the four red light reflectance sample, the near-infrared reflectance sample, the short-wave infrared reflectance sample and the organic matter concentration sample. Specifically, the electronic device takes the first maximum information coefficient, the second maximum information coefficient and the third maximum information coefficient as conditions, and takes the red light reflectance sample, the near-infrared reflectance sample, the short-wave infrared reflectance sample and the organic matter concentration sample as the basis to construct a depth-corresponding organic matter concentration assessment model.

[0116] Based on the above-mentioned process of constructing the organic matter concentration assessment model corresponding to each depth, the electronic equipment can accurately construct the organic matter concentration assessment model corresponding to each depth, providing data support for the inversion of the organic matter concentration corresponding to each depth, effectively lowering the threshold for organic matter concentration inversion, and providing a reliable basis for subsequent research on soil carbon emissions.

[0117] Optionally, the electronic device determines a first maximum information coefficient based on the red light reflectance sample and the organic matter concentration sample; determines a second maximum information coefficient based on the near-infrared reflectance sample and the organic matter concentration sample; and determines a third maximum information coefficient based on the short-wave infrared reflectance sample and the organic matter concentration sample, which may include: the electronic device determines the first maximum information coefficient based on the first coefficient formula; determines the second maximum information coefficient based on the second coefficient formula; and determines the third maximum information coefficient based on the third coefficient formula.

[0118] Among them, the first coefficient formula is:

[0119] The second coefficient formula is:

[0120] The third coefficient formula is:

[0121] It represents the soil organic matter concentration sample at depth at any point in the target grid corresponding to the remote sensing image sample; It represents the red light reflectance sample of the soil at the same depth at the same point; Represents the first maximum information coefficient; m represents the number of rows of the target grid, n represents the number of columns of the target grid, m≥2, n≥2, that is, the number of rows m and the number of columns n are the organic matter concentration samples With red reflectance sample The parameter for dividing the constructed scatter plot into a grid of m rows and n columns; B represents the restriction factor, which is generally taken as 0.6 power of the sample size; Indicates the organic matter concentration of the soil at the same point at that depth. With red reflectance sample The first mutual information value under the target grid division; min(m,n) represents the minimum value between the number of rows m and the number of columns n; It represents the near-infrared reflectance sample of the soil at the same depth at the same point; represents the second largest information coefficient; Table 1 shows the organic matter concentration of soil at the same depth at the same point. and near-infrared reflectivity samples The second mutual information value under the target grid division; It represents the shortwave infrared reflectance sample of the soil at the same depth at the same point; represents the second largest information coefficient; Table 1 shows the organic matter concentration of soil at the same depth at the same point. and shortwave infrared reflectivity samples The third mutual information value under the target grid partitioning.

[0122] The electronic device accurately determines the first maximum information coefficient based on the above-mentioned first coefficient formula; accurately determines the second maximum information coefficient based on the above-mentioned second coefficient formula; and accurately determines the third maximum information coefficient based on the above-mentioned third coefficient formula, providing data support for the subsequent construction of an organic matter concentration assessment model.

[0123] It should be noted that the above-mentioned first coefficient formula, second coefficient formula and third coefficient formula are the first correlation model.

[0124] Optionally, the first mutual information value can be expressed as Calculated; the second mutual information value can be used Calculated; the third mutual information value can be used formula Calculated.

[0125] Among them, (x i ,y j) represents the data point in the i-th row and j-th column of the target grid, which is the point position; P(x i ,y j ) represents the data point (x i ,y j )’s data point frequency; P(x i ) represents the frequency of the data point in row i; P(y j ) represents the frequency of data points in the jth column.

[0126] Based on the above formula, the electronic device can accurately determine the mutual information value, providing data support for the subsequent determination of the maximum information coefficient.

[0127] It should be noted that there is no limit to the timing of the electronic device acquiring red light reflectance samples, near-infrared reflectance samples, short-wave infrared reflectance samples and organic matter concentration samples; there is no limit to the timing of the electronic device determining the first maximum information coefficient, the second maximum information coefficient and the third information coefficient.

[0128] In some embodiments, the electronic device constructs a depth-corresponding organic matter concentration assessment model based on the first maximum information coefficient, the second maximum information coefficient, and the third maximum information coefficient according to the red light reflectance samples, the near-infrared reflectance samples, the short-wave infrared reflectance samples, and the organic matter concentration samples. This may include: when the first maximum information coefficient, the second maximum information coefficient, and the third maximum information coefficient are all greater than a preset coefficient threshold, the electronic device constructs a depth-corresponding organic matter concentration assessment model according to the red light reflectance samples, the near-infrared reflectance samples, the short-wave infrared reflectance samples, and the organic matter concentration samples.

[0129] Optionally, the preset coefficient threshold may be set before the electronic device leaves the factory, or may be user-defined, which is not specifically limited here.

[0130] Exemplarily, the above-mentioned preset coefficient threshold is usually set to 0.5.

[0131] After obtaining the first maximum information coefficient, the second maximum information coefficient and the third maximum information coefficient, the electronic device can judge the size of the three maximum information coefficients and the preset coefficient threshold one by one. When the three maximum information coefficients are all greater than the preset coefficient threshold, it means that the correlation between the red light reflectance sample and the organic matter concentration sample is high, and the correlation between the near-infrared reflectance sample and the organic matter concentration sample is high. At the same time, the correlation between the short-wave infrared reflectance sample and the organic matter concentration sample is high. At this time, a depth-corresponding organic matter concentration assessment model can be constructed based on the red light reflectance sample, the near-infrared reflectance sample, the short-wave infrared reflectance sample and the organic matter concentration sample.

[0132] Optionally, the electronic device constructs an organic matter concentration assessment model corresponding to the depth based on the red light reflectance samples, the near-infrared reflectance samples, the short-wave infrared reflectance samples and the organic matter concentration samples, which may include: the electronic device constructs a first mathematical assessment formula corresponding to the depth based on the red light reflectance samples, the near-infrared reflectance samples, the short-wave infrared reflectance samples and the organic matter concentration samples, and determines the first mathematical assessment formula as the organic matter concentration assessment model.

[0133] Wherein, the first mathematical evaluation formula is: SOM=a+b / R+c / NIR+d / SWIR;

[0134] Among them, SOM represents the organic matter concentration sample, the unit is %; a represents the first constant; b represents the second constant; c represents the third constant; d represents the fourth constant; R represents the red light reflectance sample; NIR represents the near-infrared reflectance sample; SWIR represents the short-wave infrared reflectance sample.

[0135] Since the red light reflectance samples, near-infrared reflectance samples, short-wave infrared reflectance samples and organic matter concentration samples are strongly correlated and have a certain linear relationship, in order to better describe the quantitative relationship between the four, the electronic device can establish a fitting model based on the collected red light reflectance samples, near-infrared reflectance samples, short-wave infrared reflectance samples and organic matter concentration samples to obtain a first mathematical evaluation formula, and then determine the first mathematical evaluation formula as the organic matter concentration evaluation model.

[0136] It should be noted that the above-mentioned first mathematical evaluation formula is a relationship model corresponding to the red light reflectance sample, the near-infrared reflectance sample, the short-wave infrared reflectance sample and the organic matter concentration sample.

[0137] For example, as shown in Table 1, the correlation verification and relationship model corresponding to the red light reflectance sample, near infrared reflectance sample, short wave infrared reflectance sample and organic matter concentration sample provided by the present invention are shown.

[0138] Table 1:

[0139]

[0140] Table 1 shows that soil samples were located at different depths: 0-20 cm, 20-40 cm, and 40-60 cm. For each depth, the maximum information coefficients between the remote sensing imagery's red reflectance, near-infrared reflectance, and short-wave infrared reflectance samples and the organic matter concentration samples at that depth were all greater than the preset coefficient threshold of 0.5. Furthermore, the corresponding relationship models for each depth, i.e., the organic matter concentration assessment models, were different, and the coefficients of determination for each organic matter concentration assessment model were high.

[0141] Optionally, the total nitrogen concentration assessment model corresponding to the depth can be constructed based on the following steps: the electronic device obtains the remote sensing image samples corresponding to the regional samples, and the near-infrared reflectivity samples of the remote sensing image samples, and obtains the total nitrogen concentration samples at the depth of the soil samples in the regional samples; the electronic device determines the fourth maximum information coefficient based on the near-infrared reflectivity samples and the total nitrogen concentration samples; the electronic device constructs the total nitrogen concentration assessment model corresponding to the depth based on the near-infrared reflectivity samples and the total nitrogen concentration samples based on the fourth maximum information coefficient.

[0142] The fourth maximum information coefficient is used to characterize the degree of correlation between the near-infrared reflectance sample and the total nitrogen concentration sample.

[0143] Although the total nitrogen concentration assessment models corresponding to different depths are different, the construction process of all total nitrogen concentration assessment models is the same. Therefore, the following operations are performed for the total nitrogen concentration assessment models corresponding to each depth:

[0144] First, when the electronic device detects a regional sample, it obtains a remote sensing image sample corresponding to the regional sample and a near-infrared reflectivity sample of the remote sensing image sample; and obtains a total nitrogen concentration sample at a depth of the soil sample within the regional sample.

[0145] Next, the electronic device may determine the degree of correlation between the near-infrared reflectance sample and the total nitrogen concentration sample based on the second correlation model. Specifically, the degree of correlation between the near-infrared reflectance sample and the total nitrogen concentration sample may be calculated to obtain a fourth maximum information coefficient.

[0146] Finally, after fully studying the correlation between the near-infrared reflectance samples and the total nitrogen concentration samples, that is, after quantitatively evaluating the relationship between the near-infrared reflectance samples and the total nitrogen concentration samples based on the total nitrogen concentration samples, the electronic device constructs a relationship model corresponding to the near-infrared reflectance samples and the total nitrogen concentration samples. Specifically, the electronic device uses the fourth maximum information coefficient as a condition and takes the near-infrared reflectance samples and the total nitrogen concentration samples as a basis to construct a depth-corresponding total nitrogen concentration evaluation model.

[0147] Based on the above-mentioned process of constructing the total nitrogen concentration assessment model corresponding to different depths, the electronic equipment can accurately construct the total nitrogen concentration assessment model corresponding to different depths, providing data support for the inversion of the total nitrogen concentration corresponding to different depths, effectively lowering the threshold for total nitrogen concentration inversion, and providing a reliable basis for subsequent research on soil carbon emissions.

[0148] Optionally, the electronic device determines the fourth maximum information coefficient based on the near-infrared reflectivity sample and the total nitrogen concentration sample, which may include: the electronic device determines the fourth maximum information coefficient based on a fourth coefficient formula.

[0149] Among them, the fourth coefficient formula is:

[0150] It represents the total nitrogen concentration sample of the soil at any point in the target grid corresponding to the remote sensing image sample; represents the fourth largest information coefficient; Indicates the total nitrogen concentration of the soil at the same depth. and near-infrared reflectivity samples The fourth mutual information value under the target grid partitioning.

[0151] The electronic device accurately determines the fourth maximum information coefficient based on the second correlation model, that is, the above-mentioned fourth coefficient formula, to provide data support for the subsequent construction of the total nitrogen concentration assessment model.

[0152] Optionally, the fourth mutual information value can be expressed as Calculated.

[0153] According to the above formula, the electronic device can accurately determine the fourth mutual information value, providing data support for the subsequent determination of the fourth maximum information coefficient.

[0154] It should be noted that there is no limit to the timing of the electronic device acquiring the near-infrared reflectivity samples and the total nitrogen concentration samples.

[0155] In some embodiments, the electronic device constructs a total nitrogen concentration assessment model corresponding to the depth based on the near-infrared reflectivity samples and the total nitrogen concentration samples based on the fourth maximum information coefficient, which may include: when the fourth maximum information coefficient is greater than a preset coefficient threshold, the electronic device constructs a total nitrogen concentration assessment model corresponding to the depth based on the near-infrared reflectivity samples and the total nitrogen concentration samples.

[0156] After obtaining the fourth maximum information coefficient, the electronic device can determine the size between the fourth maximum information coefficient and the above-mentioned preset coefficient threshold. If the fourth maximum information coefficient is greater than the preset coefficient threshold, it indicates that the degree of correlation between the near-infrared reflectivity sample and the total nitrogen concentration sample is high. At this time, a depth-corresponding total nitrogen concentration assessment model can be constructed based on the near-infrared reflectivity sample and the total nitrogen concentration sample.

[0157] Optionally, the electronic device constructs a total nitrogen concentration evaluation model corresponding to the depth based on the near-infrared reflectivity samples and the total nitrogen concentration samples, which may include: the electronic device constructs a second mathematical evaluation formula corresponding to the depth based on the near-infrared reflectivity samples and the total nitrogen concentration samples, and determines the second mathematical evaluation formula as the total nitrogen concentration evaluation model.

[0158] Wherein, the second mathematical evaluation formula is: TN=f*ln(NIR)+g;

[0159] Wherein, TN represents the total nitrogen concentration of the sample, in g / kg; f represents the fifth constant; and g represents the sixth constant.

[0160] Since the near-infrared reflectance samples and the total nitrogen concentration samples are strongly correlated and have a certain linear relationship, in order to better describe the quantitative relationship between the two, the electronic device can establish a fitting model based on the collected near-infrared reflectance samples and total nitrogen concentration samples to obtain a second mathematical evaluation formula, and then determine the second mathematical evaluation formula as the total nitrogen concentration evaluation model.

[0161] It should be noted that the second mathematical evaluation formula is a relationship model corresponding to the near-infrared reflectance sample and the total nitrogen concentration sample.

[0162] For example, as shown in Table 2, the correlation verification and relationship model corresponding to the near-infrared reflectance sample and the total nitrogen concentration sample provided by the present invention are shown.

[0163] Table 2:

[0164]

[0165]

[0166] Table 2 shows that soil samples were located at different depths: 0-20 cm, 20-40 cm, and 40-60 cm. For each depth, the maximum information coefficient between the near-infrared reflectance sample of the remote sensing image and the total nitrogen concentration sample at that depth exceeded the preset coefficient threshold of 0.5. Furthermore, the corresponding relationship models for each depth, i.e., the total nitrogen concentration estimation models, were different, and the coefficient of determination for each total nitrogen concentration estimation model was high.

[0167] Optionally, the electronic device determines the first change in organic matter after plowing based on the change in organic matter concentration at different depths, which may include: the electronic device determines the first change in organic matter after plowing based on a first summation formula.

[0168] Among them, the first summation formula is:

[0169] △m organic =∑△C organic0-20 ×s+∑△C organic20-40 ×s+∑△C organic40-60 ×s;

[0170] △m organic It represents the change of soil organic matter in the range of 0-60 cm, i.e. the first change of organic matter after tillage; s represents the area of ​​a grid in the target grid, in ha.

[0171] Based on the above-mentioned first summation formula, the electronic device can accurately determine the first change in organic matter after tillage, providing data support for the subsequent determination of soil carbon emissions.

[0172] Optionally, the electronic device determines the second change in total nitrogen after plowing based on the change in total nitrogen concentration at different depths, which may include: the electronic device determines the second change in total nitrogen after plowing based on a second summation formula.

[0173] Among them, the second summation formula is:

[0174] △m N =Σ△C N0-20 ×s+∑△C N20-40 ×s+∑△C N40-60 ×s;

[0175] △m N It indicates the change in total nitrogen in the soil at 0-60cm, that is, the second change in total nitrogen after tillage.

[0176] Based on the second summation formula mentioned above, the electronic device can accurately determine the first change in total nitrogen after tillage, providing data support for the subsequent determination of soil carbon emissions.

[0177] Optionally, the electronic device determines the carbon dioxide release amount and the methane release amount based on the first change amount, which may include: the electronic device determines the carbon dioxide release amount based on a first formula, and determines the methane release amount based on a second formula.

[0178] Among them, the first formula is: m organic-CO2 =α×△m organic ;

[0179] The second formula is: m organic-CH4 =β×△m organic ;

[0180] m organic-CO2 represents the amount of carbon dioxide released; α represents the first empirical proportional coefficient, which is usually set to 0.5; m organic-CH4 represents the amount of methane released; β represents the second empirical proportional coefficient, which is usually taken as 0.07.

[0181] The electronic device can accurately determine the amount of carbon dioxide released based on the first formula above, and accurately determine the amount of methane released based on the second formula above, providing data support for the subsequent determination of soil carbon emissions.

[0182] Optionally, the first empirical proportional coefficient and the second empirical proportional coefficient can be obtained through the following steps: under standard conditions, using the isotope tracer method, labeling the carbon-13 and carbon-14 in the organic matter in the soil of the soil area to be tested before plowing, and measuring the release of carbon-13 and carbon-14 respectively, and then measuring the release of carbon-13 and carbon-14 in the generated carbon dioxide and the release of carbon-13 and carbon-14 in methane, and then extracting the empirical proportional coefficient of carbon dioxide produced by the decomposition of organic matter during plowing under standard conditions, that is, extracting the first empirical proportional coefficient, and extracting the empirical proportional coefficient of methane produced by the decomposition of organic matter during plowing under standard conditions, that is, extracting the second empirical proportional coefficient.

[0183] Optionally, the electronic device determines the nitrogen oxide release amount based on the second change amount, which may include: the electronic device determines the nitrogen oxide release amount based on a third formula.

[0184] Among them, the third formula is: m NOx =η×Δm N ;

[0185] m NOx Indicates the amount of nitrogen oxides released; η represents the preset proportional coefficient, which is usually 3.7.

[0186] The electronic device uses the static box method to analyze the transformation of nitrogen elements in the soil and establishes a relationship model between the conversion of total nitrogen and the release of nitrogen oxides during soil tillage. Specifically, the electronic device can determine the release of nitrogen oxides based on the third formula mentioned above, providing data support for the subsequent determination of soil carbon emissions.

[0187] In some embodiments, the electronic device determines the soil carbon emissions corresponding to the soil area to be tested based on the carbon dioxide release, methane release and nitrogen oxide release, which may include: the electronic device determines the carbon dioxide equivalent of methane based on the methane release; the electronic device determines the carbon dioxide equivalent of nitrogen oxide based on the nitrogen oxide release; the electronic device determines the soil carbon emissions corresponding to the soil area to be tested based on the carbon dioxide release, the carbon dioxide equivalent of methane and the carbon dioxide equivalent of nitrogen oxide.

[0188] The carbon dioxide equivalent (CO2 equivalent) of a gas is calculated by multiplying its mass by its greenhouse effect. The greenhouse effect of a gas is called its Global Warming Potential (GWP), which depends on factors such as the gas's radiative properties and molecular weight, as well as how its concentration changes over time.

[0189] The electronic equipment can calculate the amount of methane released to obtain the carbon dioxide equivalent of methane; and calculate the amount of nitrogen oxides released to obtain the carbon dioxide equivalent of nitrogen oxides. Then, combined with the previously obtained carbon dioxide equivalent of methane and carbon dioxide release, the soil carbon emissions corresponding to the soil area to be tested are determined.

[0190] Optionally, the electronic device determines the carbon dioxide equivalent of methane based on the methane release amount, which may include: the electronic device determines the carbon dioxide equivalent of methane based on a first conversion formula.

[0191] Among them, the first conversion formula is:

[0192] represents the carbon dioxide equivalent of methane; θ1 represents the first conversion coefficient, which is usually 28.

[0193] The electronic device can accurately determine the carbon dioxide equivalent of methane based on the first conversion formula.

[0194] It should be noted that the above-mentioned first conversion factor is obtained based on the sixth assessment report of the Intergovernmental Panel on Climate Change (IPCC), which shows that the global warming potential (GWP) of methane is 28, which means that the global warming effect of each kilogram of methane is equivalent to 28 kilograms of carbon dioxide.

[0195] Optionally, the electronic device determines the carbon dioxide equivalent of the nitrogen oxides based on the nitrogen oxide release amount, which may include: the electronic device determines the carbon dioxide equivalent of the nitrogen oxides based on a second conversion formula.

[0196] Among them, the second conversion formula is:

[0197] represents the carbon dioxide equivalent of nitrogen oxides; θ2 represents the second conversion factor, which is usually 268.

[0198] The electronic device can accurately determine the carbon dioxide equivalent of nitrogen oxides based on the second conversion formula.

[0199] It should be noted that the above-mentioned second conversion factor is obtained based on the sixth IPCC assessment report, which shows that the GWP of nitrogen oxides is 268, which means that the global warming effect of each kilogram of nitrogen oxides is equivalent to 268 kilograms of carbon dioxide.

[0200] Optionally, the electronic device determines the soil carbon emissions corresponding to the soil area to be tested based on the carbon dioxide release, the carbon dioxide equivalent of methane and the carbon dioxide equivalent of nitrogen oxides, which may include: the electronic device determines the soil carbon emissions corresponding to the soil area to be tested based on the target summation formula.

[0201] The target summation formula is:

[0202]

[0203] m 总 Indicates the soil carbon emissions corresponding to the soil area to be tested.

[0204] The electronic device can accurately determine the soil carbon emissions corresponding to the soil area to be tested based on the above target summation formula.

[0205] It should be noted that the entire detailed process described above utilizes remote sensing technology, combined with isotope tracing and static chamber methods, to monitor and assess the impact of tillage activities on soil carbon emissions. Correlation models and relationship models are established for factors such as soil organic matter, total soil nitrogen release, carbon dioxide release from organic matter conversion, methane release from organic matter conversion, and nitrogen oxide release from total nitrogen conversion in remote sensing data. This provides a method for remote sensing inversion of soil carbon emissions, improving the accuracy and reliability of soil carbon emission estimates.

[0206] Furthermore, compared to traditional remote sensing methods, the present invention considers a more comprehensive range of greenhouse gases and uses a more direct inversion method. The process of linking spectral features to element release levels is more reliable and less erroneous than the traditional process of linking them to temperature and humidity.

[0207] Compared with the existing technology that inverts factors such as soil temperature, soil moisture and plowing depth in the plowing area to obtain soil carbon emissions, the embodiments of the present invention directly analyze the conversion traces of carbon and nitrogen elements. By inverting the changes in carbon and nitrogen elements in the soil, that is, the changes in organic matter and total nitrogen, a relationship model is established between the changes and the converted carbon dioxide release, methane release and nitrogen oxide release, and the final soil carbon emissions of regional plowing behavior are obtained.

[0208] Compared with traditional manual measurement methods, the embodiments of the present invention consider greenhouse gases more comprehensively, avoid the measurement errors caused by gas escape in traditional methods, greatly reduce labor costs, and increase the measurement accuracy of soil carbon emissions during soil tillage.

[0209] The soil carbon emission determination device provided by the present invention is described below. The soil carbon emission determination device described below and the soil carbon emission determination method described above can be referenced to each other.

[0210] like Figure 2 FIG. 1 is a schematic diagram of the structure of the soil carbon emission determination device provided by the present invention, which may include:

[0211] An acquisition module 201 is configured to acquire a first remote sensing image of the soil area to be measured before plowing and a second remote sensing image of the soil area to be measured after plowing;

[0212] Processing module 202 is used to determine a first change in organic matter after tillage and a second change in total nitrogen after tillage in the soil area to be measured based on the first remote sensing image and the second remote sensing image; determine a carbon dioxide release and a methane release based on the first change; and determine a nitrogen oxide release based on the second change; and determine a soil carbon emission corresponding to the soil area to be measured based on the carbon dioxide release, the methane release, and the nitrogen oxide release.

[0213] Optionally, the processing module 202 is specifically used to determine the change in organic matter concentration at different depths and the change in total nitrogen concentration at different depths in the soil area to be tested based on the first remote sensing image and the second remote sensing image; determine the first change in the organic matter after tillage based on the change in the organic matter concentration at different depths; and determine the second change in the total nitrogen after tillage based on the change in the total nitrogen concentration at different depths.

[0214] Optionally, the processing module 202 is specifically used to determine the carbon dioxide equivalent of methane based on the methane release; determine the carbon dioxide equivalent of nitrogen oxides based on the nitrogen oxide release; and determine the soil carbon emissions corresponding to the soil area to be tested based on the carbon dioxide release, the carbon dioxide equivalent of methane and the carbon dioxide equivalent of nitrogen oxides.

[0215] Optionally, the following operations are performed for each depth of the different depths: a processing module 202 is specifically used to obtain an organic matter concentration assessment model corresponding to the depth, the organic matter concentration assessment model is constructed based on the red light reflectance samples, near infrared reflectance samples and short wave infrared reflectance samples of the remote sensing image samples corresponding to the regional sample, and the organic matter concentration samples of the soil samples in the regional sample at the depth; the red light reflectance, near infrared reflectance and short wave infrared reflectance of the first remote sensing image are input into the organic matter concentration assessment model to obtain a first organic matter concentration of the soil in the soil area to be tested at the depth output by the organic matter concentration assessment model; the red light reflectance, near infrared reflectance and short wave infrared reflectance of the second remote sensing image are input into the organic matter concentration assessment model to obtain a second organic matter concentration of the soil at the depth output by the organic matter concentration assessment model; and the change in the organic matter concentration of the soil at the depth is determined based on the first organic matter concentration and the second organic matter concentration.

[0216] Optionally, the following operations are performed for each depth of the different depths: a processing module 202 is specifically used to obtain a total nitrogen concentration assessment model corresponding to the depth, where the total nitrogen concentration assessment model is constructed based on the near-infrared reflectivity samples of the remote sensing image samples corresponding to the regional samples, and the total nitrogen concentration samples of the soil samples in the regional samples at the depth; the near-infrared reflectivity of the first remote sensing image is input into the total nitrogen concentration assessment model to obtain a first total nitrogen concentration of the soil in the soil area to be tested at the depth output by the total nitrogen concentration assessment model; the near-infrared reflectivity of the second remote sensing image is input into the total nitrogen concentration assessment model to obtain a second total nitrogen concentration of the soil at the depth output by the total nitrogen concentration assessment model; and the change in the total nitrogen concentration of the soil at the depth is determined based on the first total nitrogen concentration and the second total nitrogen concentration.

[0217] Optionally, the organic matter concentration assessment model corresponding to the depth is constructed based on the following steps: processing module 202 is specifically used to obtain the remote sensing image sample corresponding to the area sample, and the red light reflectance sample, near infrared reflectance sample and short wave infrared reflectance sample of the remote sensing image sample; obtain the organic matter concentration sample of the soil sample at the depth in the area sample; determine the first maximum information coefficient based on the red light reflectance sample and the organic matter concentration sample; determine the second maximum information coefficient based on the near infrared reflectance sample and the organic matter concentration sample; and determine the third maximum information coefficient based on the short wave infrared reflectance sample and the organic matter concentration sample; based on the first maximum information coefficient, the second maximum information coefficient and the third maximum information coefficient, construct the organic matter concentration assessment model corresponding to the depth according to the red light reflectance sample, the near infrared reflectance sample, the short wave infrared reflectance sample and the organic matter concentration sample.

[0218] Optionally, the processing module 202 is specifically used to construct an organic matter concentration assessment model corresponding to the depth based on the red light reflectance sample, the near-infrared reflectance sample, the short-wave infrared reflectance sample and the organic matter concentration sample when the first maximum information coefficient, the second maximum information coefficient and the third maximum information coefficient are all greater than a preset coefficient threshold.

[0219] like Figure 3FIG. 1 is a schematic diagram of the structure of an electronic device provided by the present invention. The electronic device may include: a processor 310, a communication interface 320, a memory 330, and a communication bus 340. The processor 310, the communication interface 320, and the memory 330 communicate with each other via the communication bus 340. The processor 310 may invoke logic instructions in the memory 330 to execute a method for determining soil carbon emissions. The method includes: obtaining a first remote sensing image of a soil region to be measured before plowing and a second remote sensing image after plowing; determining a first change in organic matter and a second change in total nitrogen in the soil region to be measured after plowing based on the first remote sensing image and the second remote sensing image; determining carbon dioxide emissions and methane emissions based on the first changes; and determining nitrogen oxide emissions based on the second changes; and determining soil carbon emissions corresponding to the soil region to be measured based on the carbon dioxide emissions, the methane emissions, and the nitrogen oxide emissions.

[0220] In addition, the logic instructions in the above-mentioned memory 330 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0221] On the other hand, the present invention also provides a computer program product, which includes a computer program, which can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the soil carbon emission determination method provided by the above methods, which includes: obtaining a first remote sensing image of the soil area to be tested before plowing and a second remote sensing image after plowing; determining a first change in organic matter and a second change in total nitrogen in the soil area to be tested after plowing based on the first remote sensing image and the second remote sensing image; determining carbon dioxide release and methane release based on the first change; and determining nitrogen oxide release based on the second change; determining the soil carbon emissions corresponding to the soil area to be tested based on the carbon dioxide release, the methane release and the nitrogen oxide release.

[0222] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the soil carbon emission determination method provided by the above-mentioned methods, the method comprising: obtaining a first remote sensing image of the soil area to be measured before plowing and a second remote sensing image after plowing; determining a first change in organic matter and a second change in total nitrogen in the soil area to be measured after plowing based on the first remote sensing image and the second remote sensing image; determining carbon dioxide release and methane release based on the first change; and determining nitrogen oxide release based on the second change; determining the soil carbon emissions corresponding to the soil area to be measured based on the carbon dioxide release, the methane release and the nitrogen oxide release.

[0223] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0224] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, or of course, by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiments.

[0225] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for determining soil carbon emissions, characterized in that: include: Acquire a first remote sensing image of the soil area to be measured before plowing and a second remote sensing image of the soil area after plowing; determining, based on the first remote sensing image and the second remote sensing image, a first change in organic matter and a second change in total nitrogen in the soil region to be tested after tillage; determining a carbon dioxide release amount and a methane release amount according to the first change; and determining the nitrogen oxide release amount based on the second change; Determining soil carbon emissions corresponding to the soil area to be tested based on the carbon dioxide release, the methane release, and the nitrogen oxide release; The determining, based on the first remote sensing image and the second remote sensing image, a first change in organic matter and a second change in total nitrogen in the soil area to be measured after tillage, comprises: Determining, based on the first remote sensing image and the second remote sensing image, a depth-dependent organic matter concentration assessment model, and a depth-dependent total nitrogen concentration assessment model, a change in organic matter concentration at different depths and a change in total nitrogen concentration at different depths in the soil area to be tested; determining a first change in the organic matter after tillage according to the changes in the organic matter concentrations at the different depths; According to the changes in the total nitrogen concentration at different depths, a second change in the total nitrogen after tillage is determined.

2. The method according to claim 1, characterized in that Determining the soil carbon emission corresponding to the soil area to be measured based on the carbon dioxide emission, the methane emission, and the nitrogen oxide emission includes: determining the carbon dioxide equivalent of the methane based on the amount of methane released; determining the carbon dioxide equivalent of the nitrogen oxides based on the nitrogen oxide release amount; The soil carbon emission corresponding to the soil area to be tested is determined according to the carbon dioxide release amount, the carbon dioxide equivalent of the methane, and the carbon dioxide equivalent of the nitrogen oxides.

3. The method according to claim 1, characterized in that Determining the change in organic matter concentration of soil at different depths in the soil area to be measured based on the first remote sensing image and the second remote sensing image includes: For each of the different depths, the following operations are performed: Obtaining an organic matter concentration assessment model corresponding to the depth, the organic matter concentration assessment model being constructed based on red light reflectance samples, near infrared reflectance samples, and short wave infrared reflectance samples of remote sensing image samples corresponding to the regional samples, and organic matter concentration samples of soil samples within the regional samples at the depth; Inputting the red light reflectance, near infrared reflectance, and short wave infrared reflectance of the first remote sensing image into the organic matter concentration assessment model to obtain a first organic matter concentration of the soil at the depth in the soil area to be tested output by the organic matter concentration assessment model; Inputting the red light reflectance, near infrared reflectance, and short wave infrared reflectance of the second remote sensing image into the organic matter concentration assessment model to obtain a second organic matter concentration of the soil at the depth output by the organic matter concentration assessment model; A change in organic matter concentration of the soil at the depth is determined based on the first organic matter concentration and the second organic matter concentration.

4. The method according to claim 1, wherein Determining the change in total nitrogen concentration of soil at different depths in the soil area to be measured based on the first remote sensing image and the second remote sensing image includes: For each of the different depths, the following operations are performed: Obtaining a total nitrogen concentration assessment model corresponding to the depth, the total nitrogen concentration assessment model being constructed based on near-infrared reflectance samples of remote sensing image samples corresponding to regional samples and total nitrogen concentration samples of soil samples within the regional samples at the depth; Inputting the near-infrared reflectivity of the first remote sensing image into the total nitrogen concentration assessment model to obtain a first total nitrogen concentration of the soil at the depth in the soil area to be tested output by the total nitrogen concentration assessment model; Inputting the near-infrared reflectivity of the second remote sensing image into the total nitrogen concentration assessment model to obtain a second total nitrogen concentration of the soil at the depth output by the total nitrogen concentration assessment model; A change in the total nitrogen concentration of the soil at the depth is determined based on the first total nitrogen concentration and the second total nitrogen concentration.

5. The method according to claim 3, characterized in that The organic matter concentration assessment model corresponding to the depth is constructed based on the following steps: Obtaining remote sensing image samples corresponding to the regional samples, and red light reflectance samples, near infrared reflectance samples, and short-wave infrared reflectance samples of the remote sensing image samples; obtaining a sample of organic matter concentration of the soil sample at the depth within the regional sample; Determining a first maximum information coefficient based on the red light reflectance sample and the organic matter concentration sample; determining a second maximum information coefficient based on the near-infrared reflectance sample and the organic matter concentration sample; and determining a third maximum information coefficient based on the short-wave infrared reflectance sample and the organic matter concentration sample; Based on the first maximum information coefficient, the second maximum information coefficient and the third maximum information coefficient, and according to the red light reflectance samples, the near-infrared reflectance samples, the short-wave infrared reflectance samples and the organic matter concentration samples, an organic matter concentration assessment model corresponding to the depth is constructed.

6. The method according to claim 5, characterized in that The step of constructing an organic matter concentration assessment model corresponding to the depth based on the first maximum information coefficient, the second maximum information coefficient, and the third maximum information coefficient and according to the red light reflectance sample, the near-infrared reflectance sample, the short-wave infrared reflectance sample, and the organic matter concentration sample includes: When the first maximum information coefficient, the second maximum information coefficient and the third maximum information coefficient are all greater than the preset coefficient threshold, an organic matter concentration assessment model corresponding to the depth is constructed based on the red light reflectance sample, the near-infrared reflectance sample, the short-wave infrared reflectance sample and the organic matter concentration sample.

7. A soil carbon emission determination device, characterized in that: include: An acquisition module, configured to acquire a first remote sensing image of the soil area to be measured before plowing and a second remote sensing image of the soil area after plowing; a processing module configured to determine, based on the first remote sensing image and the second remote sensing image, a first change in organic matter and a second change in total nitrogen in the soil region to be tested after tillage; and determine, based on the first change, an amount of carbon dioxide released and an amount of methane released; and determining the nitrogen oxide release amount based on the second change; and determining the soil carbon emission amount corresponding to the soil area to be tested based on the carbon dioxide release amount, the methane release amount, and the nitrogen oxide release amount; The processing module is specifically used to determine the change in organic matter concentration at different depths and the change in total nitrogen concentration at different depths in the soil to be tested in the soil area according to the first remote sensing image and the second remote sensing image, the organic matter concentration assessment model corresponding to the depth, and the total nitrogen concentration assessment model corresponding to the depth; determine the first change in the organic matter after plowing according to the change in organic matter concentration at different depths and the organic matter concentration assessment model corresponding to the depth; determine the second change in the total nitrogen after plowing according to the change in total nitrogen concentration at different depths and the total nitrogen concentration assessment model corresponding to the depth.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that: When the processor executes the computer program, the method for determining soil carbon emissions according to any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for determining soil carbon emissions according to any one of claims 1 to 6 is implemented.

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