Application of land ecological environment risk assessment based on SAR image

Abstract

The ecological environment of land is an important part of the ecosystem. Extracting land eco-environmental information is very important to realize environmental change monitoring and sustainable development. In the past, people used surface measurement and optical remote sensing technology to extract land ecological environment information. According to the data measured by the surface survey method, the accuracy is relatively low, and it is difficult to meet the application needs of people. However, because of its own characteristics, optical remote sensing is easy to be disturbed by the weather and cannot extract the land ecological environment information timely and accurately. The development of SAR technology provides a new way to extract land ecological environment information. This technology cannot be affected by cloud, rain, and fog and can be used for all day monitoring of land ecological environment risk assessment. In addition, the full polarimetric SAR image directly opens up a new method of land ecological information extraction. According to Wishart H/α, the classification algorithm extracts the land eco-environmental cover information from the full polarimetric SAR image. The classification algorithm is applied to all the polarization data in a certain area, and the coverage information is extracted according to the scattering mechanism of the terrestrial ecological environment. After comparing the extraction accuracy with the optical image, it is found that the land ecological environment coverage information is extracted by different methods under different visual values of multi-view processing. Using error analysis to improve the classification algorithm, improve the accuracy of land eco-environmental cover information extraction, the past accuracy of 54.0% to 81.7%, and the accuracy of 73.1% to 88.0%. Based on the impact of the application of SAR image in land ecological environment risk assessment, a new concept assessment model is established. Through this method, the past evaluation model can be improved.