title: [MTCARI: A kind of vegetation index monitoring vegetation leaf chlorophyll content based on hyperspectral remote sensing].
abstract: 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.
authors.affiliation: Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China. mqytc@sina.com
authors.forename: Qing-ye
authors.initials: QY
authors.lastname: Meng
authors.forename: Heng
authors.initials: H
authors.lastname: Dong
authors.forename: Qi-ming
authors.initials: QM
authors.lastname: Qin
authors.forename: Jin-liang
authors.initials: JL
authors.lastname: Wang
authors.forename: Jiang-hua
authors.initials: JH
authors.lastname: Zhao
mesh_terms: D002734:Chlorophyll / Q000032:analysis*; D008962:Models, Theoretical; D010788:Photosynthesis; D018515:Plant Leaves / Q000737:chemistry*; D010944:Plants; D058998:Remote Sensing Technology; D015203:Reproducibility of Results; D013057:Spectrum Analysis
chemical_list: D002734:Chlorophyll