Research background and significance
Airborne hyperspectral has unique value in the research and application of vegetation remote sensing due to its high spectral resolution and aviation platform advantages. It captures subtle features of vegetation spectra (such as red edge position and chlorophyll absorption peak) through hyperspectral data, reveals the spectral response mechanism of physiological processes such as vegetation photosynthesis and nutrient cycling, and provides a theoretical basis for the construction of ecological models. Monitor the spectral response of vegetation to climate change (such as drought, increased CO₂ concentration), environmental pollution and other stresses, quantify vegetation adaptation and feedback mechanisms, and serve the study of global ecological changes.
Equipment application introduction
1. High-precision inversion of vegetation physical and chemical parameters
Chlorophyll and nitrogen content monitoring: Using the spectral slope changes of the red edge band (680-760nm) and the near-infrared band, establish chlorophyll a/b and leaf nitrogen content inversion models to evaluate vegetation growth status. For example, vegetation with high chlorophyll content has stronger absorption in the red light band and higher near-infrared reflectivity.
2. Vegetation species classification and community structure analysis
Species fine identification and biodiversity monitoring: Based on the differences in the spectral "fingerprints" of different species (such as leaf pigments and structural characteristics), dominant species and rare species in forests and grasslands are identified to assist in biodiversity conservation. For example, the reflectivity curves of coniferous forests and broad-leaved forests in the near-infrared band are different.
3. Vegetation stress and ecological disaster monitoring
Early warning of pests and diseases and pollution: When vegetation is polluted by pests and diseases or heavy metals, the reflectivity of the spectrum in the visible light band (such as the "green peak" at 550nm) and the near-infrared band will be abnormal, which can detect stress earlier than the symptoms of the naked eye, such as the impact of pine wilt disease on the spectrum of pine trees.
Training site
