MTCARI: A Kind of Vegetation Index Monitoring Vegetation Leaf Chlorophyll Content Based on Hyperspectral Remote Sensing

作者：Meng Qing ye; Dong Heng; Qin Qi ming^*; Wang Jin liang; Zhao Jiang hua

来源：Spectroscopy and Spectral Analysis, 2012, 32(8): 2218-2222.

DOI：10.3964/j.issn.1000-0593(2012)08-2218-05

• Measurement of chlorophyll content
• Vegetation index model
• TCARI

The chlorophyll content of plant has relative correlation with photosynthetic capacity and growth levels of plant. It affects the plant canopy spectra, so the authors can use hyperspectral remote sensing to monitor chlorophyll content. By analyzing existing mature vegetation index model, the present research pointed out that the TCARI model has deficiencies, and then tried to improve the model. Then using the PROSPECT+SAIL model to simulate the canopy spectral under different levels of chlorophyll content and leaf area index (LAI), the related constant factor has been calculated. The research finally got modified transformed chlorophyll absorption ratio index (MTCARI). And then this research used optimized soil background adjust index (OSAVI) to improve the model. Using the measured data for test and verification, the model has good reliability.

• 出版日期2012-8
• 单位北京大学