Afforestation carbon sink project satellite remote sensing screening and multi-source satellite verification and verification method

Abstract

The invention relates to the technical field of afforestation carbon sequestration, and discloses a satellite remote sensing screening and multi-source satellite verification and verification method for an afforestation carbon sequestration project. The afforestation carbon sink project satellite remote sensing screening and multi-source satellite verification and verification method comprises the steps of 1, a satellite remote sensing screening stage, 2, preliminary screening, 3, a multi-source satellite verification and verification stage, 4, field verification and data correction and 5, result evaluation and reporting. According to the method, screening and checking efficiency is improved, preliminary screening is carried out through a satellite remote sensing technology, a large-area area can be rapidly covered, the workload of field investigation is greatly reduced, working efficiency is improved, and cost is reduced; multi-source data fusion is used for enhancing the accuracy, the characteristics of the afforestation area can be reflected from different angles by combining multi-source satellite data such as a high-resolution multi-spectral satellite image, a high-resolution commercial satellite image and radar satellite data, the defect of a single data source is overcome, and the screening and checking accuracy is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of afforestation carbon sink, and in particular to a satellite remote sensing screening and multi-source satellite verification and checking method for afforestation carbon sink projects. Background Art

[0002] As global attention to climate change continues to increase, afforestation carbon sink projects have received widespread attention as an important response measure. However, traditional afforestation carbon sink project screening and verification methods have some limitations.

[0003] On the one hand, relying solely on field surveys for screening and verification is labor-intensive, costly, inefficient, and difficult to cover large areas. On the other hand, the application of a single satellite data source may have problems such as insufficient accuracy and being greatly affected by weather conditions. For example, optical satellite images cannot obtain effective data in cloudy and rainy weather, which affects the continuous monitoring of afforestation areas. At the same time, different satellite images have differences in resolution, spectral characteristics, etc., and using only one satellite image may not be able to fully and accurately reflect the actual situation of afforestation carbon sink projects. Summary of the invention

[0004] 1. Technical issues to be solved

[0005] In view of the shortcomings of the existing technology, the present invention provides a satellite remote sensing screening and multi-source satellite verification and verification method for afforestation carbon sink projects, which has the advantages of quickly covering a large area, greatly reducing the workload of field investigations, improving work efficiency, and reducing costs. It solves the problems of large workload, high cost and low efficiency in screening and verification during field investigations.

[0006] (II) Technical solution

[0007] In order to achieve the above-mentioned purpose of quickly covering a large area, greatly reducing the workload of field investigations, improving work efficiency and reducing costs, the present invention provides the following technical solutions: satellite remote sensing screening and multi-source satellite verification and verification method for afforestation carbon sink projects, including the following specific method steps, step one: satellite remote sensing screening stage, step two: preliminary screening, step three: multi-source satellite verification and verification stage, step four: field verification and data correction and step five: result evaluation and reporting.

[0008] Preferably, the step 1: satellite remote sensing screening stage includes data collection, collecting high-resolution multispectral satellite image data, such as Landsat series, Sentinel-2, etc., covering images of different time periods in the afforestation carbon sink project area, and collecting auxiliary information such as terrain data and climate data;

[0009] The step 1: satellite remote sensing screening stage also includes vegetation index calculation, using satellite images to calculate vegetation indices such as the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI) to reflect the growth status and coverage of vegetation.

[0010] Preferably, the step 2: preliminary screening, setting a suitable vegetation index threshold, screening out areas with high vegetation coverage and good growth conditions, preliminarily determining possible afforestation carbon sink project areas, and excluding areas that are not suitable for afforestation, such as steep slopes and waters, in combination with terrain data.

[0011] Preferably, the step three: multi-source satellite verification and examination phase includes high-resolution satellite image analysis, using higher-resolution commercial satellite images (such as WorldView, etc.) to conduct detailed analysis of the initially screened areas, observe the type, density, growth status and other characteristics of vegetation, and determine whether it is an artificial afforestation area;

[0012] Among them, step three: multi-source satellite verification and verification phase also includes the application of radar satellite data, collecting synthetic aperture radar (SAR) satellite data, such as Sentinel-1, analyzing the backscattering characteristics of SAR data, determining the structure and height information of vegetation, and further confirming the afforestation area. SAR data is not affected by clouds and can be used for supplementary monitoring in cloudy weather;

[0013] Among them, Step 3: Multi-source satellite verification and verification stage also includes time series analysis, which conducts time series analysis on multi-source satellite images, observes the vegetation changes in the screened area in different time periods, confirms whether the increase in vegetation coverage is stable and continuous, and eliminates the interference of short-term vegetation changes.

[0014] Preferably, the step four: field verification and data correction includes combining field surveys, selecting some typical areas for sample verification, and correcting and improving the satellite remote sensing data based on the field survey results to improve the accuracy of screening and verification.

[0015] Preferably, the step five: result evaluation and reporting includes integrating multi-source satellite data and field verification results to evaluate the scale, quality and carbon sink potential of afforestation carbon sink projects, generate detailed screening and verification reports, and provide a scientific basis for the management and decision-making of afforestation carbon sink projects.

[0016] (III) Beneficial effects

[0017] Compared with the prior art, the present invention provides a satellite remote sensing screening and multi-source satellite verification method for afforestation carbon sink projects, which has the following beneficial effects:

[0018] 1. The satellite remote sensing screening and multi-source satellite verification and verification method of the afforestation carbon sink project improves the efficiency of screening and verification: preliminary screening through satellite remote sensing technology can quickly cover a large area, greatly reduce the workload of field investigation, improve work efficiency and reduce costs;

[0019] At the same time, multi-source data fusion enhances accuracy: combining multi-source satellite data such as high-resolution multispectral satellite images, high-resolution commercial satellite images and radar satellite data can reflect the characteristics of the afforestation area from different angles, make up for the shortcomings of a single data source, and improve the accuracy of screening and verification.

[0020] 2. The satellite remote sensing screening and multi-source satellite verification and verification method of the afforestation carbon sink project is not restricted by weather conditions: radar satellite data is not affected by clouds and can be monitored in cloudy and rainy weather, ensuring continuous observation of the afforestation carbon sink project;

[0021] At the same time, time series analysis ensures stability: Time series analysis of multi-source satellite images can confirm whether the increase in vegetation coverage is stable and continuous, avoid misjudging the effect of afforestation carbon sink projects due to short-term vegetation changes, and provide a reliable basis for long-term management and evaluation of the project;

[0022] This method provides scientific decision support: the detailed report generated by integrating multi-source satellite data and field verification results provides a scientific basis for the management and decision-making of afforestation carbon sink projects, helping to optimize project layout and improve carbon sink potential. DETAILED DESCRIPTION

[0023] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0024] The satellite remote sensing screening and multi-source satellite verification and verification method for afforestation carbon sink projects includes the following specific method steps: step one: satellite remote sensing screening stage, step two: preliminary screening, step three: multi-source satellite verification and verification stage, step four: field verification and data correction, and step five: result evaluation and reporting.

[0025] Furthermore, step 1: the satellite remote sensing screening phase includes, data collection, collecting high-resolution multispectral satellite image data, such as Landsat series, Sentinel-2, etc., covering images of different time periods in the afforestation carbon sink project area, and collecting auxiliary information such as terrain data and climate data;

[0026] It also includes vegetation index calculation, using satellite images to calculate vegetation indices such as the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI) to reflect the growth status and coverage of vegetation.

[0027] Furthermore, in step 2: preliminary screening, appropriate vegetation index thresholds are set to screen out areas with high vegetation coverage and good growth conditions, preliminarily determine possible afforestation carbon sink project areas, and combine terrain data to exclude areas that are not suitable for afforestation, such as steep slopes and water areas.

[0028] Furthermore, step three: multi-source satellite verification and examination phase includes, high-resolution satellite image analysis, using higher-resolution commercial satellite images (such as WorldView, etc.) to conduct detailed analysis of the initially screened areas, observe the type, density, growth status and other characteristics of vegetation, and determine whether it is an artificial afforestation area;

[0029] Among them, Step 3: Multi-source satellite verification and verification phase also includes the application of radar satellite data, collecting synthetic aperture radar (SAR) satellite data, such as Sentinel-1, analyzing the backscattering characteristics of SAR data, determining the structure and height information of vegetation, and further confirming the afforestation area. SAR data is not affected by clouds and can be used for supplementary monitoring in cloudy weather.

[0030] Among them, Step 3: Multi-source satellite verification and verification stage also includes time series analysis, which conducts time series analysis on multi-source satellite images, observes the vegetation changes in the screened area in different time periods, confirms whether the increase in vegetation coverage is stable and continuous, and eliminates the interference of short-term vegetation changes.

[0031] Furthermore, step four: field verification and data correction involves combining field surveys with selecting some typical areas for sample verification, and correcting and improving satellite remote sensing data based on the field survey results to improve the accuracy of screening and verification.

[0032] Furthermore, Step Five: Result Evaluation and Reporting includes integrating multi-source satellite data and field verification results to evaluate the scale, quality and carbon sink potential of afforestation carbon sink projects, generate detailed screening and verification reports, and provide a scientific basis for the management and decision-making of afforestation carbon sink projects.

[0033] Furthermore, the method improves the efficiency of screening and verification: preliminary screening through satellite remote sensing technology can quickly cover large areas, greatly reducing the workload of field investigations, improving work efficiency and reducing costs;

[0034] At the same time, multi-source data fusion enhances accuracy: combining multi-source satellite data such as high-resolution multispectral satellite images, high-resolution commercial satellite images and radar satellite data can reflect the characteristics of the afforestation area from different angles, make up for the shortcomings of a single data source, and improve the accuracy of screening and verification.

[0035] This method is not limited by weather conditions: radar satellite data is not affected by clouds and can be monitored in cloudy and rainy weather, ensuring continuous observation of afforestation carbon sink projects;

[0036] At the same time, time series analysis ensures stability: time series analysis of multi-source satellite images can confirm whether the increase in vegetation coverage is stable and continuous, avoid misjudgment of the effectiveness of afforestation carbon sink projects due to short-term vegetation changes, and provide a reliable basis for the long-term management and evaluation of the project.

[0037] This method provides scientific decision support: the detailed report generated by integrating multi-source satellite data and field verification results provides a scientific basis for the management and decision-making of afforestation carbon sink projects, helping to optimize project layout and improve carbon sink potential.

[0038] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Satellite remote sensing screening and multi-source satellite verification and verification method for afforestation carbon sink projects, characterized by: It includes the following specific method steps: step one: satellite remote sensing screening stage, step two: preliminary screening, step three: multi-source satellite verification and verification stage, step four: field verification and data correction, and step five: result evaluation and reporting.

2. The satellite remote sensing screening and multi-source satellite verification and verification method for afforestation carbon sink projects according to claim 1 is characterized by: The step 1: satellite remote sensing screening stage includes data collection, collecting high-resolution multispectral satellite image data, such as Landsat series and Sentinel-2, covering images of different time periods in the afforestation carbon sink project area, and collecting auxiliary information of terrain data and climate data; The step 1: satellite remote sensing screening stage also includes vegetation index calculation, using satellite images to calculate the Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) vegetation index to reflect the growth status and coverage of vegetation.

3. The satellite remote sensing screening and multi-source satellite verification and verification method for afforestation carbon sink projects according to claim 1 is characterized by: The second step is preliminary screening, setting a suitable vegetation index threshold, screening out areas with high vegetation coverage and good growth conditions, preliminarily determining possible afforestation carbon sink project areas, and excluding areas that are not suitable for afforestation, such as steep slopes and waters, in combination with terrain data.

4. The satellite remote sensing screening and multi-source satellite verification and verification method for afforestation carbon sink projects according to claim 1 is characterized by: The step three: multi-source satellite verification and examination phase includes high-resolution satellite image analysis, using higher-resolution commercial satellite images (such as WorldView) to conduct detailed analysis of the initially screened areas, observe the type, density, and growth status characteristics of vegetation, and determine whether it is an artificial afforestation area; Among them, step three: multi-source satellite verification and verification phase also includes the application of radar satellite data, collecting synthetic aperture radar (SAR) satellite data, such as Sentinel-1, analyzing the backscattering characteristics of SAR data, determining the structure and height information of vegetation, and further confirming the afforestation area. SAR data is not affected by clouds and can be used for supplementary monitoring in cloudy weather; Among them, Step 3: Multi-source satellite verification and verification stage also includes time series analysis, which conducts time series analysis on multi-source satellite images, observes the vegetation changes in the screened area in different time periods, confirms whether the increase in vegetation coverage is stable and continuous, and eliminates the interference of short-term vegetation changes.

5. The satellite remote sensing screening and multi-source satellite verification and verification method for afforestation carbon sink projects according to claim 1 is characterized by: The step 4: field verification and data correction includes combining field investigation, selecting some typical areas for sample verification, and correcting and improving the satellite remote sensing data based on the field investigation results to improve the accuracy of screening and verification.

6. The satellite remote sensing screening and multi-source satellite verification and verification method for afforestation carbon sink projects according to claim 1 is characterized by: The step five: result evaluation and reporting includes integrating multi-source satellite data and field verification results to evaluate the scale, quality and carbon sink potential of afforestation carbon sink projects, generate detailed screening and verification reports, and provide a scientific basis for the management and decision-making of afforestation carbon sink projects.