Assessment of vegetation conservation status in plateau areas based on multi‐view and difference identification

Abstract

SummaryVegetation is the center connecting the atmosphere, hydrosphere and biosphere, and it plays an irreplaceable and important role in maintaining the regional ecological balance and affecting the changes of the global ecological environment. Therefore, it is of great practical significance to deeply study the dynamic changes of regional vegetation, predict its future development trend, and comprehensively evaluate its ecological security status. Based on this, this paper combines the multi‐view and difference identification methods to carry out an evaluation study of the vegetation protection status in the plateau area. This paper takes the Huangshui watershed in Qinghai Province as the research area, uses HJ‐1 A star HSI hyperspectral remote sensing images, field measured vegetation canopy spectrum and other auxiliary classification data as data sources, and uses emerging hyperspectral remote sensing technology for analysis. After the above data is preprocessed, spectral data form transformation, hyperspectral data dimensionality reduction and image multi‐view classification feature selection, we use the CART decision tree to classify typical vegetation remote sensing. Finally, we use the landscape ecological security evaluation model to evaluate the vegetation ecological security of the basin. The simulation test verifies the applicability of the scheme in the classification of vegetation hyperspectral remote sensing in complex terrain areas.