Method and device for determining damage of crop sunscald, electronic equipment and storage medium

Abstract

The application provides a crop sunscald damage determination method and device, electronic equipment and storage medium, comprising: acquiring a first original remote sensing image of a region where crops are located at the time of sunscald occurrence, and acquiring a second original remote sensing image of the region before and after the sunscald occurrence; preprocessing the first and second original remote sensing images to obtain first and second target remote sensing images; determining the ground surface temperature corresponding to each pixel point in the first target remote sensing image; determining the photosynthetic activity change information corresponding to each pixel point in the second target remote sensing image; and determining the sunscald damage result of the crops in the region according to the ground surface temperature corresponding to each pixel point and the photosynthetic activity change information corresponding to each pixel point. Based on different satellite remote sensing images and satellite data band parameters, the application can determine the sunscald damaged area in the region, and can realize sunscald damage determination in a large range, high timeliness and low cost during the sunscald damage occurrence.

Description

Technical Field

[0001] This application relates to the field of crop damage determination technology, and more specifically, to a method, apparatus, electronic device, and storage medium for determining crop sunscald damage. Background Technology

[0002] In kiwifruit cultivation, sunburn is one of the major diseases. Strong sunlight exceeding 45% and high temperatures are detrimental to kiwifruit growth, leading to sunburn. Furthermore, kiwifruit plants suffering from sunburn are often located in the southwest corner of the canopy, or have sparse foliage, excessive fruit load, insufficient soil fertility and water, or an excessive number of plants.

[0003] Based on this, existing kiwifruit sunburn damage assessment schemes often rely on manual field surveys. During the period when kiwifruit sunburn damage occurs, manual observation and statistics of kiwifruit sunburn damage are conducted to further assess the degree of loss.

[0004] However, this kiwifruit sunburn damage assessment scheme requires a lot of manpower, material resources, and financial resources. The survey results are easily affected by the subjective judgment of the investigators, which may lead to errors in the degree of disease occurrence. At the same time, it takes a long time to statistically analyze the data, which is not conducive to quickly locating the disease occurrence area. Summary of the Invention

[0005] The purpose of this application is to address the shortcomings of the prior art by providing a method, apparatus, electronic device, and storage medium for determining crop sunburn damage, thereby solving the problem that crop sunburn damage is difficult to determine in the prior art.

[0006] To achieve the above objectives, the technical solutions adopted in the embodiments of this application are as follows:

[0007] In a first aspect, one embodiment of this application provides a method for determining crop sunscald damage, the method comprising:

[0008] Acquire a first raw remote sensing image of the area where the crop is located when sunburn occurs, and acquire a second raw remote sensing image of the area before and after sunburn occurs. The first raw remote sensing image includes acquisition information of multiple thermal infrared bands, and the second raw remote sensing image includes acquisition information of multiple red edge bands.

[0009] The first original remote sensing image is preprocessed to obtain the first target remote sensing image, and the second original remote sensing images before and after the sunscald are preprocessed to obtain the second target remote sensing image.

[0010] Based on the first target remote sensing image, determine the surface temperature corresponding to each pixel in the first target remote sensing image;

[0011] Based on the remote sensing image of the second target, determine the photosynthetic activity change information corresponding to each pixel in the remote sensing image of the second target;

[0012] Based on the surface temperature and photosynthetic activity changes corresponding to each pixel, the sunscald damage results of crops in the region are determined.

[0013] As one possible implementation, determining the surface temperature corresponding to each pixel in the first target remote sensing image based on the first target remote sensing image includes:

[0014] Based on the first target remote sensing image, determine the normalized vegetation index corresponding to each pixel;

[0015] Based on the normalized vegetation index corresponding to each pixel, determine the surface emissivity corresponding to each pixel.

[0016] The surface temperature corresponding to each pixel is determined based on the surface emissivity of each pixel.

[0017] As one possible implementation, determining the surface emissivity corresponding to each pixel based on the normalized vegetation index (NDI) includes:

[0018] Based on the normalized vegetation index corresponding to each pixel, determine the vegetation coverage information corresponding to each pixel.

[0019] Based on the vegetation cover information corresponding to each pixel, the surface emissivity corresponding to each pixel is determined.

[0020] As one possible implementation, determining the surface temperature corresponding to each pixel based on the surface emissivity of each pixel includes:

[0021] The blackbody radiance corresponding to each pixel is determined based on the surface emissivity corresponding to each pixel.

[0022] The surface temperature corresponding to each pixel is determined based on the blackbody radiation brightness corresponding to each pixel.

[0023] As one possible implementation, determining the photosynthetic activity change information corresponding to each pixel in the second target remote sensing image based on the second target remote sensing image includes:

[0024] Based on the data of the first band and the data of the second band in the remote sensing image of the second target, the red edge chlorophyll index of each pixel before sunburn and the red edge chlorophyll index of each pixel after sunburn are determined.

[0025] Based on the red-edge chlorophyll index of each pixel before and after sunscald, the photosynthetic activity change information of each pixel is determined.

[0026] As one possible implementation, determining the photosynthetic activity change information corresponding to each pixel based on the red-edge chlorophyll index of each pixel before and after sunscald includes:

[0027] Subtract the red-edge chlorophyll index of the first pixel before sunburn from the red-edge chlorophyll index of the first pixel after sunburn to obtain the photosynthetic activity change information of the first pixel, wherein the first pixel is any pixel in the remote sensing image of the second target.

[0028] As one possible implementation, determining the sunscald damage results of crops in the region based on the surface temperature and photosynthetic activity changes corresponding to each pixel includes:

[0029] Traverse each pixel. For the current pixel, determine the damage identifier of the current pixel based on the change information of the surface temperature and photosynthetic activity corresponding to the current pixel. The damage identifier is used to indicate whether the current pixel belongs to the pixel that has been sunburned.

[0030] Based on the damage markers of each pixel, the sunburned damage area in the region where the crop is located is determined, and the sunburn damage results are obtained.

[0031] Secondly, another embodiment of this application provides a device for determining crop sunscald damage, the device comprising:

[0032] The acquisition module is used to acquire a first original remote sensing image of the area where the crop is located when sunburn occurs, and to acquire a second original remote sensing image of the area before and after sunburn occurs. The first original remote sensing image includes acquisition information of multiple thermal infrared bands, and the second original remote sensing image includes acquisition information of multiple red edge bands.

[0033] The processing module is used to preprocess the first original remote sensing image to obtain the first target remote sensing image, and to preprocess the second original remote sensing images before and after the sunscald to obtain the second target remote sensing image.

[0034] The first determining module is used to determine the surface temperature corresponding to each pixel in the first target remote sensing image based on the first target remote sensing image.

[0035] The second determining module is used to determine the photosynthetic activity change information corresponding to each pixel in the second target remote sensing image based on the second target remote sensing image;

[0036] The third determining module is used to determine the sunscald damage results of crops in the region based on the surface temperature corresponding to each pixel and the photosynthetic activity change information corresponding to each pixel.

[0037] As one possible implementation, the first determining module is specifically used for:

[0038] Based on the first target remote sensing image, determine the normalized vegetation index corresponding to each pixel;

[0039] Based on the normalized vegetation index corresponding to each pixel, determine the surface emissivity corresponding to each pixel.

[0040] The surface temperature corresponding to each pixel is determined based on the surface emissivity of each pixel.

[0041] As one possible implementation, the first determining module is specifically used for:

[0042] Based on the normalized vegetation index corresponding to each pixel, determine the vegetation coverage information corresponding to each pixel.

[0043] Based on the vegetation cover information corresponding to each pixel, the surface emissivity corresponding to each pixel is determined.

[0044] As one possible implementation, the first determining module is specifically used for:

[0045] The blackbody radiance corresponding to each pixel is determined based on the surface emissivity corresponding to each pixel.

[0046] The surface temperature corresponding to each pixel is determined based on the blackbody radiation brightness corresponding to each pixel.

[0047] As one possible implementation, the second determining module is specifically used for:

[0048] Based on the data of the first band and the data of the second band in the remote sensing image of the second target, the red edge chlorophyll index of each pixel before sunburn and the red edge chlorophyll index of each pixel after sunburn are determined.

[0049] Based on the red-edge chlorophyll index of each pixel before and after sunscald, the photosynthetic activity change information of each pixel is determined.

[0050] As one possible implementation, the second determining module is specifically used for:

[0051] Subtract the red-edge chlorophyll index of the first pixel before sunburn from the red-edge chlorophyll index of the first pixel after sunburn to obtain the photosynthetic activity change information of the first pixel, wherein the first pixel is any pixel in the remote sensing image of the second target.

[0052] As one possible implementation, the third determining module is specifically used for:

[0053] Traverse each pixel. For the current pixel, determine the damage identifier of the current pixel based on the change information of the surface temperature and photosynthetic activity corresponding to the current pixel. The damage identifier is used to indicate whether the current pixel belongs to the pixel that has been sunburned.

[0054] Based on the damage markers of each pixel, the sunburned damage area in the region where the crop is located is determined, and the sunburn damage results are obtained.

[0055] Thirdly, another embodiment of this application provides an electronic device, including: a processor, a storage medium, and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor communicates with the storage medium via the bus, and the processor executes the machine-readable instructions to perform the steps of any of the methods described in the first aspect above.

[0056] Fourthly, another embodiment of this application provides a storage medium storing a computer program, which, when executed by a processor, performs the steps of any of the methods described in the first aspect above.

[0057] The beneficial effects of this application are as follows: Based on remote sensing images obtained by different satellites in the same area, and combined with satellite data band parameters, this application determines the surface temperature and photosynthetic variation of each pixel in the area, thereby determining the sunscald damage results of each pixel in the area, and further determining the sunscald-damaged areas in the area. This reduces the subjective factors in the process of determining crop sunscald damage, and shortens the time for determining crop sunscald damage. It can achieve large-scale, timely, and low-cost determination of sunscald damage during the occurrence of sunscald damage, thus providing a scientific basis for sunscald damage and crop planting. Attached Figure Description

[0058] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0059] Figure 1 A schematic diagram illustrating a method for determining crop sunburn damage according to an embodiment of this application;

[0060] Figure 2 A flowchart illustrating the method for determining crop sunburn damage provided in this application embodiment;

[0061] Figure 3 The flowchart of the surface temperature determination method in the crop sunburn damage determination method provided in the embodiments of this application is shown;

[0062] Figure 4 The flowchart of the method for determining the surface emissivity in the crop sunburn damage determination method provided in the embodiments of this application is shown;

[0063] Figure 5 The flowchart of the surface temperature determination method in the crop sunburn damage determination method provided in the embodiments of this application is shown;

[0064] Figure 6 The flowchart of the method for determining photosynthetic activity change information in the crop sunburn damage determination method provided in the embodiments of this application is shown.

[0065] Figure 7 The flowchart of the method for determining the sunscald damage result in the crop sunscald damage determination method provided in the embodiments of this application is shown;

[0066] Figure 8 This paper shows a modular structure diagram of the crop sunburn damage determination device provided in an embodiment of this application;

[0067] Figure 9 A schematic diagram of the electronic device structure provided in an embodiment of this application is shown. Detailed Implementation

[0068] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the accompanying drawings in this application are for illustrative and descriptive purposes only and are not intended to limit the scope of protection of this application. Furthermore, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of this application. It should be understood that the operations in the flowcharts may not be implemented in sequence, and steps without logical contextual relationships may be reversed or implemented simultaneously. In addition, those skilled in the art, guided by the content of this application, may add one or more other operations to the flowcharts, or remove one or more operations from the flowcharts.

[0069] Furthermore, the described embodiments are merely some, not all, of the embodiments of this application. The components of the embodiments of this application described and illustrated herein can typically be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0070] It should be noted that the term "comprising" will be used in the embodiments of this application to indicate the presence of the features declared thereafter, but does not exclude the addition of other features.

[0071] Existing methods for assessing crop sunscald damage often rely heavily on manual field surveys. During the occurrence of sunscald damage, workers visually observe and statistically analyze the damage to determine the extent of loss. However, this method is costly in terms of manpower, resources, and funding. The survey results are easily influenced by the subjective judgment of the surveyors, leading to errors in the assessment of the damage level. Furthermore, the statistical analysis is time-consuming, hindering the rapid identification of areas affected by sunscald.

[0072] Based on the aforementioned problems, this application proposes a method for determining crop sunscald damage. By using remote sensing images and band parameter information from different remote sensing satellites in the same area, the surface temperature and photosynthetic variation of each pixel in the area are calculated, thereby determining the sunscald damage identifier of each pixel in the area and further identifying the sunscald-damaged areas. This reduces subjective factors in the process of determining crop sunscald damage, making the determination of crop sunscald damage objective and accurate, while also shortening the determination time and enabling rapid identification of crop sunscald damage areas.

[0073] Figure 1 This is a schematic diagram illustrating a method for determining crop sunscald damage according to an embodiment of this application. Figure 1 As shown, this scenario may involve several remote sensing satellites, the area where the crops are located, and processing equipment. The remote sensing satellites are used to acquire images of the crop area, and the processing equipment uses these images to determine sunscald damage to the crops. For example, Figure 1 The image shows two remote sensing satellites acquiring images of the area where crops are located.

[0074] For example, the two remote sensing satellites in this application embodiment can be Sentinel-2 and Landsat-8, respectively.

[0075] For example, embodiments of this application can determine sunscald damage in the same area multiple times at different stages of crop cultivation in order to provide guidance for crop cultivation.

[0076] The following describes in detail the method for determining crop sunscald damage according to embodiments of this application, with reference to several examples.

[0077] Figure 2 This is a flowchart illustrating a method for determining crop sunscald damage according to an embodiment of this application. The subject executing this method can be the aforementioned processing equipment. Figure 2 As shown, the method includes:

[0078] S201. Obtain a first original remote sensing image of the area where the crop is located when sunburn occurs, and obtain a second original remote sensing image of the area before and after sunburn occurs, wherein the first original remote sensing image includes acquisition information of multiple thermal infrared bands, and the second original remote sensing image includes acquisition information of multiple red edge bands.

[0079] For example, the first raw remote sensing image can be acquired by the Landsat 8 satellite. Due to the presence of thermal infrared sensors on the Landsat 8 satellite, the acquired remote sensing image includes information collected from multiple thermal infrared bands. That is, the acquired first raw remote sensing image includes information collected from multiple thermal infrared bands, which can be used to sense targets of thermal radiation and thus determine the surface temperature of the area where crops are located.

[0080] For example, the second raw remote sensing image can be acquired by the Sentinel-2 satellite constellation. Because of the presence of two identical Sentinel-2 satellites, the constellation can repeatedly photograph the crop area within a short period, thus obtaining second raw images before and after sunscald. Simultaneously, since the spectral range of the Sentinel-2 satellites includes multiple red-edge bands, the acquired remote sensing images include information from multiple red-edge bands, which can then be used to determine changes in photosynthetic activity in the crop area.

[0081] S202. The first original remote sensing image is preprocessed to obtain the first target remote sensing image, and the second original remote sensing images before and after the sunscald are preprocessed to obtain the second target remote sensing image.

[0082] It is worth noting that the preprocessing of the first original remote sensing image includes radiometric calibration, atmospheric correction, and resampling.

[0083] Optionally, the first original remote sensing image is first radiometrically calibrated. After converting the pixel brightness values ​​of the remote sensing image into radiometric values, atmospheric correction is performed to eliminate radiometric errors caused by atmospheric influence. Then, the image after error elimination is resampled to obtain the first target remote sensing image.

[0084] Optionally, the resampling interval for obtaining the first target remote sensing image by resampling the first original remote sensing image can be 30 units.

[0085] It is worth noting that the preprocessing of the second raw remote sensing images before and after the sunscald includes format conversion, band synthesis, and resampling of the second raw remote sensing images before and after the sunscald.

[0086] Optionally, the second original remote sensing images before and after the sunscald are first converted to a common format, and then band synthesis is performed. The red-edge bands are synthesized and then resampled to obtain the second target remote sensing images before and after the sunscald.

[0087] Optionally, the resampling interval for obtaining the second target remote sensing image by resampling the second original remote sensing image can be 10 units.

[0088] It is worth noting that by performing the above preprocessing on the second original remote sensing image before the sunscald occurs, a second target remote sensing image before the sunscald occurs can be obtained. Similarly, by performing the above preprocessing on the second original remote sensing image after the sunscald occurs, a second target remote sensing image after the sunscald occurs can be obtained.

[0089] S203. Based on the aforementioned remote sensing image of the first target, determine the surface temperature corresponding to each pixel in the aforementioned remote sensing image of the first target.

[0090] Optionally, after obtaining the remote sensing image of the first target, the surface temperature of each pixel in the remote sensing image of the first target is determined to obtain the surface temperature corresponding to each pixel in the remote sensing image of the first target.

[0091] S204. Based on the aforementioned remote sensing image of the second target, determine the photosynthetic activity change information corresponding to each pixel in the aforementioned remote sensing image of the second target.

[0092] Optionally, after obtaining the remote sensing images of the second target before and after the occurrence of sunscald, the photosynthetic activity of each pixel in the remote sensing images of the second target before and after the occurrence of sunscald is confirmed, thereby obtaining the photosynthetic activity change information corresponding to each pixel in the remote sensing images of the second target.

[0093] S205. Based on the surface temperature and photosynthetic activity change information corresponding to each pixel, determine the sunscald damage results of crops in the above area.

[0094] Optionally, the sunscald damage results of crops corresponding to each pixel can be obtained by using the surface temperature and photosynthetic activity change information corresponding to each pixel, thereby determining the sunscald damage results of crops in the region.

[0095] In this embodiment, based on remote sensing images obtained by different satellites in the same area, and combined with satellite data band parameters, the surface temperature and photosynthetic variation of each pixel in the area are determined, thereby determining the sunscald damage results of each pixel in the area. This further identifies the sunscald-damaged areas in the region, reducing subjective factors in the process of determining crop sunscald damage and shortening the time required for determining crop sunscald damage. It enables large-scale, timely, and low-cost determination of sunscald damage during the occurrence of sunscald damage, thus providing a scientific basis for sunscald damage and crop planting.

[0096] Figure 3 The flowchart of the method for determining surface temperature in the crop sunscald damage determination method provided in the embodiments of this application is shown.

[0097] As one possible implementation, such as Figure 3 As shown, step S203 above may include:

[0098] S301. Based on the aforementioned remote sensing image of the first target, determine the normalized vegetation index corresponding to each pixel.

[0099] Optionally, after obtaining the first target remote sensing image, the normalized vegetation index is determined for each pixel in the first target remote sensing image to obtain the normalized vegetation index (NDVI) corresponding to each pixel in the first target remote sensing image.

[0100] Optionally, for each pixel, the normalized vegetation index corresponding to each pixel can be calculated using the bandmath tool on the remote sensing image processing platform (The Environment for Visualizing Images, ENVI).

[0101] S302. Based on the normalized vegetation index corresponding to each pixel, determine the surface emissivity corresponding to each pixel.

[0102] Optionally, after obtaining the normalized vegetation index corresponding to each pixel, the land surface emissivity (LSE) corresponding to each pixel can be determined by calculation.

[0103] S303. Determine the surface temperature corresponding to each pixel based on the surface emissivity corresponding to each pixel.

[0104] Optionally, after obtaining the surface emissivity corresponding to each pixel, the surface temperature corresponding to each pixel can be determined by calculation.

[0105] Figure 4 The flowchart illustrates the method for determining the surface emissivity in the crop sunburn damage determination method provided in the embodiments of this application.

[0106] As one possible implementation, such as Figure 4 As shown, step S302 above may include:

[0107] S401. Determine the vegetation coverage information corresponding to each pixel based on the normalized vegetation index corresponding to each pixel.

[0108] Optionally, after obtaining the normalized vegetation index corresponding to each pixel, the vegetation cover (FVC) of each pixel can be calculated according to the following formula (1):

[0109] FVC = ((NDVI - NDVI) soil ) / (NDVI veg -NDVI soil )) (1)

[0110] Where FVC is vegetation cover and NDVI is... soil The NDVI value is for areas that are completely bare soil or have no vegetation cover. veg This represents the NDVI value of a pixel that is completely covered by vegetation, i.e., the NDVI value of a pixel with pure vegetation.

[0111] S402. Determine the surface emissivity corresponding to each pixel based on the vegetation coverage information corresponding to each pixel.

[0112] Optionally, after obtaining the vegetation cover information corresponding to each pixel, the surface emissivity corresponding to each pixel can be determined according to the following formula (2):

[0113] LSE = 0.004FVC + 0.986 (2)

[0114] Where LSE is the surface emissivity and FVC is the vegetation cover.

[0115] Figure 5 The flowchart of the method for determining surface temperature in the crop sunscald damage determination method provided in the embodiments of this application is shown.

[0116] As one possible implementation, such as Figure 5 As shown, step S303 above may include:

[0117] S501. Determine the blackbody radiance corresponding to each pixel based on the surface emissivity corresponding to each pixel.

[0118] Optionally, after obtaining the surface emissivity corresponding to each pixel, the blackbody radiance corresponding to each pixel can be determined according to the following formula (3):

[0119] D(t)=[Q-q2-∝(1-LSE)q1] (3)

[0120] Where D(t) is the blackbody thermal radiance, Q is the radiance value, i.e. the B10 band of the processed Landsat8 data, LSE is the surface emissivity, ∝ is the atmospheric transmittance in the thermal infrared, q1 is the atmospheric downward radiance, q2 is the atmospheric upward radiance, and ∝, q1, and q2 are constants that can be obtained by querying.

[0121] S502. Determine the surface temperature corresponding to each pixel based on the blackbody radiation brightness corresponding to each pixel.

[0122] Optionally, after obtaining the blackbody radiance corresponding to each pixel, the surface temperature corresponding to each pixel can be determined according to the following formula (4):

[0123]

[0124] Among them, T s K represents the surface temperature, and K1 and K2 are constants, K1 = 774.89 and K2 = 1321.08.

[0125] Optionally, common temperature units can be converted for the surface temperature corresponding to each pixel.

[0126] Figure 6 The flowchart illustrates the method for determining photosynthetic activity change information in the crop sunburn damage determination method provided in the embodiments of this application.

[0127] As one possible implementation, such as Figure 6 As shown, step S204 above may include:

[0128] S601. Based on the data of the first band and the data of the second band in the remote sensing image of the second target, determine the red edge chlorophyll index of each pixel before sunscald and the red edge chlorophyll index of each pixel after sunscald.

[0129] Optionally, the red-edge chlorophyll index of each pixel before and after sunscald is calculated using the data of the first band and the data of the second band in the remote sensing images of the second target before and after sunscald, respectively, according to the following formula (5):

[0130] RECI=((NIR / Red)-1)(5)

[0131] In this data, RECI represents the red-edge chlorophyll index, NIR represents the spectral data for the first band, and RED represents the spectral data for the second band. The first band can be the near-infrared band, and the second band can be the red band.

[0132] S602. Based on the red edge chlorophyll index of each pixel before sunburn and the red edge chlorophyll index of each pixel after sunburn, determine the photosynthetic activity change information of each pixel.

[0133] Optionally, after obtaining the red-edge chlorophyll index corresponding to each pixel before and after sunscald, for each pixel, the red-edge chlorophyll index before and after sunscald is compared and analyzed to obtain the photosynthetic activity change information corresponding to each pixel.

[0134] As one possible implementation, step S602 above may include:

[0135] Subtract the red-edge chlorophyll index of the first pixel before sunburn from the red-edge chlorophyll index of the first pixel after sunburn to obtain the photosynthetic activity change information corresponding to the first pixel. The first pixel can be any pixel in the remote sensing image of the second target.

[0136] Optionally, after obtaining the red-edge chlorophyll index of each pixel before and after sunscald, the red-edge chlorophyll index of each pixel before sunscald is subtracted from the red-edge chlorophyll index of each pixel after sunscald to obtain the red-edge chlorophyll index difference information of each pixel, which is used as the photosynthetic activity change information of each pixel.

[0137] Figure 7 The flowchart of the method for determining the result of sunscald damage in the crop sunscald damage determination method provided in the embodiments of this application is shown.

[0138] As one possible implementation, such as Figure 7 As shown, step S205 above may include:

[0139] S901. Traverse each pixel. For the current pixel, determine the damage marker of the current pixel based on the change information of the surface temperature and photosynthetic activity corresponding to the current pixel. The damage marker is used to indicate whether the current pixel belongs to the pixel that has been damaged by sunscald.

[0140] Optionally, each pixel is traversed to determine whether the surface temperature corresponding to the current pixel exceeds a preset high temperature threshold, and at the same time, whether the photosynthetic activity change information corresponding to the current pixel exceeds a preset photosynthetic activity change range value, so as to determine whether the crop corresponding to the current pixel is damaged by sunscald, and further mark the damage identifier of the current pixel.

[0141] Optionally, the preset high temperature threshold can be 35 degrees Celsius.

[0142] Optionally, the preset photosynthetic activity variation range can be less than 0.1.

[0143] S902. Based on the damage markers of each pixel, determine the sunburned damage area in the region where the crop is located, and obtain the sunburn damage results.

[0144] For example, assuming that the damage marker of a pixel damaged by sunburn is 1 and the damage marker of a pixel not damaged by sunburn is 0, we can filter out all pixels with a damage marker of 1 and perform connected component processing on these pixels. Each connected component obtained is a sunburned area in the region where the crop is located.

[0145] Optionally, the sunburn damage result can be determined by further combining parameters such as the size of the area where the crop is located with the sunburned area in the region.

[0146] Based on the same inventive concept, this application also provides a crop sunburn damage determination device corresponding to the crop sunburn damage determination method. Since the principle of the device in this application is similar to the crop sunburn damage determination method described above in this application, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be described again.

[0147] Figure 8 This paper shows a modular structure diagram of the crop sunburn damage determination device provided in an embodiment of this application, with reference to... Figure 8 The device includes:

[0148] The acquisition module 801 is used to acquire a first original remote sensing image of the area where the crop is located when sunscald occurs, and to acquire a second original remote sensing image of the area before and after sunscald occurs. The first original remote sensing image includes acquisition information of multiple thermal infrared bands, and the second original remote sensing image includes acquisition information of multiple red edge bands.

[0149] The processing module 802 is used to preprocess the first original remote sensing image to obtain the first target remote sensing image, and to preprocess the second original remote sensing images before and after the sunscald to obtain the second target remote sensing image.

[0150] The first determining module 803 is used to determine the surface temperature corresponding to each pixel in the first target remote sensing image based on the first target remote sensing image.

[0151] The second determining module 804 is used to determine the photosynthetic activity change information corresponding to each pixel in the second target remote sensing image based on the second target remote sensing image.

[0152] The third determining module 805 determines the sunscald damage results of crops in the above area based on the surface temperature and photosynthetic activity change information corresponding to each pixel.

[0153] This application also provides an electronic device 900, such as... Figure 9 The diagram shown is a schematic representation of the structure of an electronic device 900 provided in an embodiment of this application. It includes a processor 901, a memory 902, and optionally, a bus 903. Optionally, the processor 901 can be... Figure 1 The processing device shown has a memory 902 storing machine-readable instructions executable by the processor 901 (e.g., ...). Figure 8 The device includes the acquisition module 801, processing module 802, first determination module 803, second determination module 804, and third determination module 805 (and their corresponding execution instructions). When the electronic device 900 is running, the processor 901 and the memory 902 communicate via the bus 903. When the machine-readable instructions are executed by the processor 901, the steps of the above-mentioned method for determining crop sunburn damage are performed.

[0154] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the steps of the above-described method for determining crop sunburn damage.

[0155] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems and devices described above can be referred to the corresponding processes in the method embodiments, and will not be repeated here. In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection can be through some communication interfaces; the indirect coupling or communication connection of devices or modules can be electrical, mechanical, or other forms.

[0156] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. If the functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0157] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application.

Claims

1. A method for determining sunscald damage in crops, characterized in that, include: Acquire a first raw remote sensing image of the area where the crop is located when sunburn occurs, and acquire a second raw remote sensing image of the area before and after sunburn occurs. The first raw remote sensing image includes acquisition information of multiple thermal infrared bands, and the second raw remote sensing image includes acquisition information of multiple red edge bands. The first original remote sensing image is preprocessed to obtain the first target remote sensing image, and the second original remote sensing images before and after the sunscald are preprocessed to obtain the second target remote sensing image. Based on the first target remote sensing image, determine the surface temperature corresponding to each pixel in the first target remote sensing image; Based on the data of the first band and the data of the second band in the remote sensing image of the second target, the red edge chlorophyll index of each pixel before sunburn and the red edge chlorophyll index of each pixel after sunburn are determined. Subtract the red edge chlorophyll index of each pixel before sunburn from the red edge chlorophyll index of each pixel after sunburn to obtain the red edge chlorophyll index difference information of each pixel, which is used as the photosynthetic activity change information of each pixel. Traverse each pixel. For the current pixel, determine the damage identifier of the current pixel based on the surface temperature, photosynthetic activity change information, preset high temperature threshold and preset photosynthetic activity change range value corresponding to the current pixel. The damage identifier is used to indicate whether the current pixel belongs to the pixel that has been sunburned. Based on the damage identifier of each pixel, connected component processing is performed on the pixels that are sunburned to obtain at least one sunburned area in the region where the crop is located. The results of sunburn damage are obtained based on the sunburned areas within the crop's region and the size of the crop's region.

2. The method of claim 1, wherein, The step of determining the surface temperature corresponding to each pixel in the first target remote sensing image based on the first target remote sensing image includes: Based on the first target remote sensing image, determine the normalized vegetation index corresponding to each pixel; Based on the normalized vegetation index corresponding to each pixel, determine the surface emissivity corresponding to each pixel. The surface temperature corresponding to each pixel is determined based on the surface emissivity of each pixel.

3. The method of claim 2, wherein, The step of determining the surface emissivity corresponding to each pixel based on the normalized vegetation index corresponding to each pixel includes: Based on the normalized vegetation index corresponding to each pixel, determine the vegetation coverage information corresponding to each pixel. Based on the vegetation cover information corresponding to each pixel, the surface emissivity corresponding to each pixel is determined.

4. The method of claim 2, wherein, The step of determining the surface temperature corresponding to each pixel based on the surface emissivity corresponding to each pixel includes: The blackbody radiance corresponding to each pixel is determined based on the surface emissivity corresponding to each pixel. The surface temperature corresponding to each pixel is determined based on the blackbody radiation brightness corresponding to each pixel.

5. A device for determining crop sunscald damage, characterized in that, include: The acquisition module is used to acquire a first original remote sensing image of the area where the crop is located when sunburn occurs, and to acquire a second original remote sensing image of the area before and after sunburn occurs. The first original remote sensing image includes acquisition information of multiple thermal infrared bands, and the second original remote sensing image includes acquisition information of multiple red edge bands. The processing module is used to preprocess the first original remote sensing image to obtain the first target remote sensing image, and to preprocess the second original remote sensing images before and after the sunscald to obtain the second target remote sensing image. The first determining module is used to determine the surface temperature corresponding to each pixel in the first target remote sensing image based on the first target remote sensing image. The second determining module is used to determine the red-edge chlorophyll index corresponding to each pixel before sunscald and the red-edge chlorophyll index corresponding to each pixel after sunscald based on the data of the first band and the data of the second band in the remote sensing image of the second target; subtract the red-edge chlorophyll index corresponding to each pixel before sunscald from the red-edge chlorophyll index corresponding to each pixel after sunscald to obtain the red-edge chlorophyll index difference information corresponding to each pixel, which is used as the photosynthetic activity change information corresponding to each pixel. The third determination module iterates through each pixel. For the current pixel, based on the corresponding surface temperature, photosynthetic activity change information, preset high temperature threshold, and preset photosynthetic activity change range, it determines the damage identifier of the current pixel. The damage identifier indicates whether the current pixel belongs to the category of pixels suffering from sunscald damage. Based on the damage identifiers of each pixel, it performs connected component processing on the pixels that belong to the category of pixels suffering from sunscald damage to obtain at least one sunscald damage area in the area where the crop is located. Based on the sunscald damage areas in the area where the crop is located and the size of the area where the crop is located, it obtains the sunscald damage result.

6. An electronic device, characterized in that, include: The electronic device includes a processor and a memory, the memory storing machine-readable instructions executable by the processor, which, when the electronic device is in operation, execute the machine-readable instructions to perform the steps of the crop sunburn damage determination method as described in any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, performs the steps of the crop sunburn damage determination method as described in any one of claims 1 to 4.

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