Title :
Dart Model Based Retrieval of Vegetation Parameters from POLDAR Data in Chengde Area, China
Author :
Chen, S.B. ; Jin, S.Y. ; Qin, W.H. ; Wang, M.C.
Author_Institution :
Dept. of Remote Sensing & GIS, Jilin Univ., Changchun, China
Abstract :
Vegetation parameters are important to improve the performance of numerical weather prediction, global change monitoring, and ecosystem modeling. In the study, Discrete Anisotropic Radiative Transfer (DART) model is employed to simulate Bi-directional Reflectance Distribution Function (BRDF)of heterogeneous landscape scenes. The simulated BRDF is required to match the measured BRDF by the POLDER (POLarization and Directionality of the Earth´s Reflectances) at 9 spectral bands which range from 443 nm to 910 nm. Thus, the Leaf Area Index (LAI), fractional cover (Fcover), biomass of trunk and branch are retrieved successfully in Chengde Area, China.
Keywords :
climatology; ecology; geophysical techniques; vegetation; weather forecasting; Chengde Area; China; POLDER data; POLarization and Directionality of the Earth´s Reflectances; bidirectional reflectance distribution function; dart model; discrete anisotropic radiative transfer; ecosystem modeling; fractional cover; global change monitoring; leaf area index; numerical weather prediction; vegetation parameters; wavelength 443 nm to 910 nm; Atmospheric modeling; Biological system modeling; Biomass; Numerical models; Predictive models; Vegetation; Vegetation mapping;
Conference_Titel :
Multimedia Technology (ICMT), 2010 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4244-7871-2
DOI :
10.1109/ICMULT.2010.5630953
