A carbon monitoring system and method based on satellite remote sensing

Abstract

The present invention discloses a carbon monitoring system and method based on satellite remote sensing. The system includes a site selection module for setting the collection range and sampling area of ​​carbon sink data; a carbon sink data acquisition module for acquiring carbon sink data within the collection range using satellite remote sensing; a carbon sink calculation module for calculating the carbon sink data to acquire the overall carbon sink amount within the collection range; and an error optimization module for performing error optimization on the overall carbon sink amount obtained by calculation. The present invention sets the collection range and acquires the optimal sampling area based on the vegetation distribution characteristics. Based on the optimal sampling area, satellite remote sensing technology is simultaneously used to conveniently and efficiently acquire and calculate the carbon sink amount within the sampling range. Finally, the calculated carbon sink amount is optimized based on the vegetation coverage rate, further improving the accuracy of the carbon sink calculation.

Description

Technical Field

[0001] The present invention belongs to the field of carbon monitoring, and in particular relates to a carbon monitoring system and method based on satellite remote sensing. Background Art

[0002] Carbon monitoring refers to obtaining information such as greenhouse gas emission intensity, concentration in the environment, and ecosystem carbon sources and sinks through comprehensive observation, combined with numerical simulation, statistical analysis, etc. The main monitored objects are greenhouse gases emitted by human activities such as carbon dioxide, methane, and hydrofluorocarbons.

[0003] At present, my country has monitored carbon emission data of different ecological types such as forests, grasslands, aquatic wetlands, cultivated land, and construction land, and updated the data annually. However, traditional carbon source monitoring is limited by the number of observation points, resulting in a small amount of data obtained. In addition, related monitoring methods are constrained by multiple factors such as monitoring equipment, monitoring scale, and personnel experience, and there is great uncertainty.

[0004] Satellite remote sensing monitoring can obtain the distribution of greenhouse gases and land carbon sinks, and has the advantages of stability, long time series, and wide spatial area. It can make up for the shortcomings of existing ground monitoring and verification methods, greatly improve monitoring efficiency, reduce monitoring costs, and help improve the understanding of carbon sinks and climate change. However, for special areas with complex terrain, it is difficult to obtain high-matching and high-precision remote sensing data, which affects the accuracy of carbon sink calculation results. Summary of the invention

[0005] The purpose of the present invention is to provide a carbon monitoring system and method based on satellite remote sensing to solve the problems existing in the above-mentioned prior art.

[0006] On the one hand, to achieve the above-mentioned purpose, the present invention provides a carbon monitoring system based on satellite remote sensing, comprising a site selection module, a carbon sink data acquisition module, a carbon sink calculation module, and an error checking module connected in sequence;

[0007] The site selection module is used to set the collection scope and sampling area of ​​carbon sink data;

[0008] The carbon sink data acquisition module is used to acquire the carbon sink data within the acquisition range by using satellite remote sensing;

[0009] The carbon sink calculation module is used to calculate the carbon sink data to obtain the overall carbon sink amount within the collection range;

[0010] The error optimization module is used to perform error optimization on the calculated overall carbon sink amount.

[0011] Optionally, the site selection module selects an area with uniform vegetation distribution as the collection range based on vegetation distribution characteristics, calculates the vegetation coverage rate within the collection range, divides the collection range into several sampling areas of equal area according to the vegetation coverage rate, obtains the average vegetation coverage value based on the sampling areas, and takes the sampling area corresponding to the average vegetation coverage value as the optimal sampling area.

[0012] Optionally, the carbon sink data acquisition module includes a near-infrared spectrometer, which is used to obtain the solar reflection spectrum of the optimal sampling area. The carbon sink data acquisition module inverts the solar reflection spectrum to obtain the carbon sink data of the optimal sampling area; the carbon sink data includes the vegetation carbon sink amount per unit area.

[0013] Optionally, the carbon sink calculation module obtains the vegetation area of ​​a single sampling area through the site selection module, and obtains the average carbon sink amount of each sampling area based on the vegetation carbon sink amount per unit area, and simultaneously obtains the number of divisions of the sampling area according to the site selection module, and obtains the overall carbon sink amount within the collection range based on the average carbon sink amount and the number of divisions.

[0014] Optionally, the error optimization module obtains the vegetation area of ​​the sampling area with the highest and lowest vegetation coverage through the site selection module, and calculates the highest carbon sink and the lowest carbon sink, obtains the mean carbon sink based on the highest carbon sink and the lowest carbon sink, calculates the difference between the mean carbon sink and the average carbon sink, and sets an error threshold. When the difference is greater than the error threshold, the difference is averaged to obtain the average difference. When the average difference is less than the error threshold, the average carbon sink is optimized according to the average difference. When the difference is less than the error threshold, no correction is made.

[0015] On the other hand, to achieve the above object, the present invention provides a carbon monitoring system based on satellite remote sensing, comprising the following steps:

[0016] Set the collection scope and sampling area of ​​carbon sink data;

[0017] Acquiring carbon sink data within the collection range based on satellite remote sensing;

[0018] Calculate the carbon sink amount based on the carbon sink data to obtain the carbon sink amount within the collection range;

[0019] The calculated carbon sink amount was optimized.

[0020] Optionally, the process of setting the collection scope and sampling area of ​​carbon sink data includes:

[0021] Based on the vegetation distribution characteristics, the area with uniform vegetation distribution is selected as the collection range, and the vegetation coverage rate within the collection range is calculated. The collection range is divided into several sampling areas of the same area according to the vegetation coverage rate. The average vegetation coverage value is obtained according to the sampling areas, and the sampling area corresponding to the average vegetation coverage value is used as the optimal sampling area.

[0022] Optionally, the process of acquiring carbon sink data within the collection range based on satellite remote sensing includes:

[0023] The solar reflection spectrum of the optimal sampling area is obtained, and the solar reflection spectrum is inverted to obtain carbon sink data of the optimal sampling area; the carbon sink data includes the carbon sink amount of vegetation per unit area.

[0024] Optionally, the process of calculating the carbon sink amount based on the carbon sink data includes:

[0025] Obtaining the area of ​​a single sampling area, and obtaining the average carbon sequestration amount of each sampling area based on the vegetation carbon sequestration amount per unit area;

[0026] The number of divisions of the sampling area is obtained, and the carbon sink amount within the sampling range is obtained based on the average carbon sink amount and the number of divisions.

[0027] Optionally, the process of performing error optimization on the calculated carbon sink includes:

[0028] Obtain the vegetation area of ​​the sampling area with the highest and lowest vegetation coverage, and calculate the highest and lowest carbon sink amounts;

[0029] Obtaining a mean carbon sink amount based on the maximum carbon sink amount and the minimum carbon sink amount, calculating a difference between the mean carbon sink amount and the average carbon sink amount, and setting an error threshold;

[0030] When the difference is greater than the error threshold, the difference is averaged to obtain the average difference; when the average difference is less than the error threshold, the average carbon sink is optimized according to the average difference; when the difference is less than the error threshold, no correction is performed.

[0031] The technical effects of the present invention are:

[0032] The present invention sets the collection range and obtains the optimal sampling area according to the vegetation distribution characteristics. According to the optimal sampling area, satellite remote sensing technology is used at the same time to conveniently and efficiently obtain and calculate the carbon sink amount within the sampling range. Finally, the calculated carbon sink amount is optimized according to the vegetation coverage rate, thereby further improving the accuracy of carbon sink calculation. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0034] Figure 1 Schematic diagram of the structure of a carbon monitoring system based on satellite remote sensing in an embodiment of the present invention;

[0035] Figure 2 This is a flow chart of a carbon monitoring method based on satellite remote sensing in an embodiment of the present invention. DETAILED DESCRIPTION

[0036] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0037] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0038] Embodiment 1

[0039] like Figure 1 As shown, this embodiment provides a carbon monitoring system based on satellite remote sensing, including a site selection module, a carbon sink data acquisition module, a carbon sink calculation module, and an error checking module connected in sequence; specifically:

[0040] The site selection module is used to set the collection range and sampling area of ​​carbon sink data. The specific steps include: the site selection module selects an area with uniform vegetation distribution as the collection range according to the vegetation distribution characteristics, and calculates the vegetation coverage rate within the collection range, divides the collection range into several sampling areas of the same area according to the vegetation coverage rate, obtains the average vegetation coverage value according to the sampling area, and takes the sampling area corresponding to the average vegetation coverage value as the optimal sampling area.

[0041] The carbon sink data acquisition module includes an infrared spectrometer, which is used to obtain carbon sink data within the collection range using satellite remote sensing. The specific steps include: obtaining the solar reflection spectrum of the optimal sampling area through the infrared spectrometer, and the carbon sink data acquisition module inverts the solar reflection spectrum to obtain the carbon sink data of the optimal sampling area; the carbon sink data includes the vegetation carbon sink amount per unit area.

[0042] The carbon sink calculation module is used to calculate the carbon sink data and obtain the overall carbon sink amount within the collection range. Specifically: the carbon sink calculation module obtains the vegetation area of ​​a single sampling area through the site selection module, and obtains the average carbon sink amount of each sampling area based on the vegetation carbon sink amount per unit area. At the same time, it obtains the number of divisions of the sampling area according to the site selection module, and obtains the overall carbon sink amount within the collection range according to the average carbon sink amount and the number of divisions.

[0043] The error optimization module is used to perform error optimization on the calculated overall carbon sink amount. Specifically: the error optimization module obtains the vegetation area of ​​the sampling area with the highest and lowest vegetation coverage through the site selection module, and calculates the highest carbon sink amount and the lowest carbon sink amount, obtains the mean carbon sink amount according to the highest carbon sink amount and the lowest carbon sink amount, calculates the difference between the mean carbon sink amount and the average carbon sink amount, and sets an error threshold. When the difference is greater than the error threshold, the difference is averaged to obtain the average difference. When the average difference is less than the error threshold, the average carbon sink amount is optimized according to the average difference. When the difference is less than the error threshold, no correction is made.

[0044] Embodiment 2

[0045] like Figure 2 As shown, this embodiment provides a carbon monitoring method based on satellite remote sensing, comprising the following steps:

[0046] Set the collection scope and sampling area of ​​carbon sink data;

[0047] Acquiring carbon sink data within the collection range based on satellite remote sensing;

[0048] Calculate the carbon sink amount based on the carbon sink data to obtain the carbon sink amount within the collection range;

[0049] The calculated carbon sink amount was optimized.

[0050] As a preferred implementation of the present application, the process of setting the collection range and sampling area of ​​carbon sink data includes:

[0051] Based on the vegetation distribution characteristics, the area with uniform vegetation distribution is selected as the collection range, and the vegetation coverage rate within the collection range is calculated. The collection range is divided into several sampling areas of the same area according to the vegetation coverage rate. The average vegetation coverage value is obtained according to the sampling areas, and the sampling area corresponding to the average vegetation coverage value is used as the optimal sampling area.

[0052] As a preferred implementation of the present application, the process of obtaining carbon sink data within the collection range based on satellite remote sensing includes:

[0053] The solar reflection spectrum of the optimal sampling area is obtained, and the solar reflection spectrum is inverted to obtain carbon sink data of the optimal sampling area; the carbon sink data includes the carbon sink amount of vegetation per unit area.

[0054] As a preferred embodiment of the present application, the process of calculating the carbon sink amount based on the carbon sink data includes:

[0055] Obtaining the area of ​​a single sampling area, and obtaining the average carbon sequestration amount of each sampling area based on the vegetation carbon sequestration amount per unit area;

[0056] The number of divisions of the sampling area is obtained, and the carbon sink amount within the sampling range is obtained based on the average carbon sink amount and the number of divisions.

[0057] As a preferred implementation of the present application, the process of optimizing the error of the calculated carbon sink includes:

[0058] Obtain the vegetation area of ​​the sampling area with the highest and lowest vegetation coverage, and calculate the highest and lowest carbon sink amounts;

[0059] Obtaining a mean carbon sink amount based on the maximum carbon sink amount and the minimum carbon sink amount, calculating a difference between the mean carbon sink amount and the average carbon sink amount, and setting an error threshold;

[0060] When the difference is greater than the error threshold, the difference is averaged to obtain the average difference; when the average difference is less than the error threshold, the average carbon sink is optimized according to the average difference; when the difference is less than the error threshold, no correction is performed.

[0061] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the method disclosed in the embodiment, since it corresponds to the system disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the system part description.

[0062] The above is only a preferred specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A carbon monitoring system based on satellite remote sensing, characterized in that: It includes a site selection module, a carbon sink data acquisition module, a carbon sink calculation module, and an error checking module which are connected in sequence; The site selection module is used to set the collection scope and sampling area of ​​carbon sink data; The carbon sink data acquisition module is used to acquire the carbon sink data within the acquisition range by using satellite remote sensing; The carbon sink calculation module is used to calculate the carbon sink data to obtain the overall carbon sink amount within the collection range; The error checking module is used to perform error optimization on the calculated overall carbon sink amount; The site selection module selects an area with uniform vegetation distribution as the collection range according to the vegetation distribution characteristics, calculates the vegetation coverage rate within the collection range, divides the collection range into a number of sampling areas of the same area according to the vegetation coverage rate, obtains the average vegetation coverage value according to the sampling areas, and uses the sampling area corresponding to the average vegetation coverage value as the optimal sampling area; The carbon sink data acquisition module includes a near-infrared spectrometer, which is used to obtain the solar reflection spectrum of the optimal sampling area. The carbon sink data acquisition module inverts the solar reflection spectrum to obtain the carbon sink data of the optimal sampling area; the carbon sink data includes the vegetation carbon sink per unit area; The carbon sink calculation module obtains the vegetation area of ​​a single sampling area through the site selection module, and obtains the average carbon sink amount of each sampling area according to the vegetation carbon sink amount per unit area, and at the same time obtains the number of divisions of the sampling area according to the site selection module, and obtains the overall carbon sink amount within the collection range according to the average carbon sink amount and the number of divisions; The error checking module obtains the vegetation areas of the sampling regions with the highest and lowest vegetation coverage rates through the site selection module, and calculates the highest and lowest carbon sinks, obtains the mean carbon sink based on the highest and lowest carbon sinks, calculates the difference between the mean carbon sink and the average carbon sink, and sets an error threshold; when the difference is greater than the error threshold, the difference is averaged to obtain the average difference; when the average difference is less than the error threshold, the average carbon sink is optimized based on the average difference; when the difference is less than the error threshold, no correction is performed.

2. A carbon monitoring method based on satellite remote sensing, characterized in that: The following steps are involved: Set the collection scope and sampling area of ​​carbon sink data; Acquiring carbon sink data within the collection range based on satellite remote sensing; Calculate the carbon sink amount based on the carbon sink data to obtain the carbon sink amount within the collection range; Optimize the error of the calculated carbon sink; The process of setting the collection scope and sampling area of ​​carbon sink data includes: Based on the vegetation distribution characteristics, an area with uniform vegetation distribution is selected as the collection range, and the vegetation coverage rate within the collection range is calculated. The collection range is divided into a number of sampling areas of the same area according to the vegetation coverage rate, and the average vegetation coverage value is obtained according to the sampling areas. The sampling area corresponding to the average vegetation coverage value is used as the optimal sampling area; The process of obtaining carbon sink data within the collection range based on satellite remote sensing includes: Obtaining a solar reflection spectrum of the optimal sampling area, inverting the solar reflection spectrum, and obtaining carbon sink data of the optimal sampling area; the carbon sink data includes the carbon sink amount of vegetation per unit area; The process of calculating the carbon sink amount based on the carbon sink data includes: Obtaining the area of ​​a single sampling area, and obtaining the average carbon sequestration amount of each sampling area based on the vegetation carbon sequestration amount per unit area; Obtaining the number of divisions of the sampling area, and obtaining the carbon sink amount within the sampling range based on the average carbon sink amount and the number of divisions; The process of error optimization of the calculated carbon sink includes: Obtain the vegetation area of ​​the sampling area with the highest and lowest vegetation coverage, and calculate the highest and lowest carbon sink amounts; Obtaining a mean carbon sink amount based on the maximum carbon sink amount and the minimum carbon sink amount, calculating the difference between the mean carbon sink amount and the average carbon sink amount, and setting an error threshold; When the difference is greater than the error threshold, the difference is averaged to obtain the average difference; when the average difference is less than the error threshold, the average carbon sink is optimized according to the average difference; when the difference is less than the error threshold, no correction is performed.

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