Spectroscopy and Spectral Analysis, Volume. 32, Issue 8, 2218(2012)
MTCARI: A Kind of Vegetation Index Monitoring Vegetation Leaf Chlorophyll Content Based on Hyperspectral Remote Sensing
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.
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MENG Qing-ye, DONG Heng, QIN Qi-ming, WANG Jin-liang, ZHAO Jiang-hua. MTCARI: A Kind of Vegetation Index Monitoring Vegetation Leaf Chlorophyll Content Based on Hyperspectral Remote Sensing[J]. Spectroscopy and Spectral Analysis, 2012, 32(8): 2218
Received: Mar. 2, 2012
Accepted: --
Published Online: Sep. 26, 2012
The Author Email: Qing-ye MENG (mqytc@sina.com)