干旱区生态环境知识资源中心

This study aims to establish a model for environmental situation assessment using hyperspectral data and apply it to regional and planning environmental assessments in the Northwest. The main research contents include: 1. The fusion of multi-level remote sensing technology. Hyperspectral data is a powerful complement to the ground environment monitoring data with its large scale and high precision. A multi-level remote sensing data processing mode integrating ground test, UAV remote sensing and satellite remote sensing is established. 2. The establishment of quantitative remote sensing analysis model. By determining the distribution range, location and extent of the relevant indicators of the target environment, combining the fixed field survey and the analysis of the on-site monitoring data, the eigenvalues are obtained, and the two are combined to establish a quantitative model for the identification of the fine environmental indicators of the environmental situation changes at large scales. 3. Application in the assessment of regional environmental situation in the Gobi region of the northwestern desert. Through the fusion analysis of ground test and high-resolution satellite remote sensing data, a quantitative model of regional desertification, plant disease and other environmental indicators is established. Combined with the analysis of hyperspectral remote sensing data in the planned area within two years, the progress and trend of environmental situation change can be known. This technology can be used to determine the impact of land desertification on planning and construction and the degree of risk.