Research background and significance
Hyperspectral refers to a technology that uses high-resolution optical instruments to collect reflectance or fluorescence spectral data of objects. This technology can evaluate and identify material composition, morphology, structure, natural or artificial causes, etc. by collecting spectral information of objects. At present, hyperspectral method is widely used in agriculture, forestry, geology, environmental monitoring, medicine and other fields.
Introduction to equipment application
1. Ecological environment monitoring: The commissioning of hyperspectral observation satellites is of great significance to the promotion of the construction of a modern ecological environment monitoring system. It can dynamically monitor the state of atmospheric pollution, effectively monitor the column concentration and distribution of greenhouse gases such as carbon dioxide and methane around the world, serve the "blue sky, clear water, clean land defense war", and support the "carbon peak, carbon neutrality" goals. In addition, hyperspectral remote sensing technology is also used in soil organic matter analysis, soil pH detection, water body distribution and water quality monitoring of rivers and lakes, providing important technical support for ecological environment protection.
2. Natural resource management: Hyperspectral remote sensing plays an important role in the accurate identification of natural resources and the extraction of physical and chemical information. Hyperspectral remote sensing technology can be used to accurately identify objects, which is crucial for the management and protection of natural resources.
3. Plant ecological survey: The application of hyperspectral remote sensing technology in plant ecological survey includes the assessment of vegetation coverage and growth status, soil organic matter analysis, soil pH detection, etc. By analyzing the characteristic spectral lines of hyperspectral data, the ecological conditions of vegetation and farmland can be accurately assessed, such as detecting plant stress effects, measuring plant chlorophyll content, determining vegetation coverage, extracting biochemical variables such as nitrogen and lignin, etc. In addition, hyperspectral remote sensing technology is also used to evaluate the spectral characteristics of vegetation, such as leaf area index (LAI), water content of organisms, pigment content, etc., which is of great significance for the prediction and calculation of crop parameters in precision agriculture
Training site
