DocumentCode :
2242068
Title :
Based on PROSAIL and four scale model to estimation LAI from HJ-1B CCD2 data in Zhangye
Author :
Zhao, Jing ; Li, Jing ; Liu, Qinhuo
Author_Institution :
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
6519
Lastpage :
6522
Abstract :
Leaf area index (LAI) is an important ecological and environmental parameter. Currently, most LAI inversion methods are based on single model. For continuous vegetation canopy, PROSAIL model used to retrieve vegetation biophysical properties based on lookup table or neural network methods. As for discontinuous vegetation canopy, vegetation canopy reflectance was simulated from Geometric-Optical model, and the relationship between LAI and vegetation indexes was established using simulated reflectance. This paper introduces a method combining the PROSAIL and four-scale model simulated the continuous and discontinuous vegetation canopy reflectance respectively, and then establishes lookup tables among multispectral reflectance, vegetation indices and LAI. The new method using land cover map has been employed to inverse HJ-1B CCD2 LAI in zhangye region of the middle reaches of the Heihe river basin. Results show that the new inversion results have much more deviation with observed dataset, but have good agreement with MODIS LAI in crops.
Keywords :
neural nets; remote sensing; vegetation; vegetation mapping; Four Scale model; HJ-1B CCD2 DATA; Heihe river basin; LAI index; LAI inversion methods; MODIS LAI; PROSAIL model; Zhangye region; continuous vegetation canopy; discontinuous vegetation canopy reflectance; ecological parameter; environmental parameter; geometric-optical model; inverse HJ-1B CCD2 LAI; land cover map; leaf area index; multispectral reflectance; neural network methods; vegetation biophysical properties; vegetation canopy reflectance; vegetation index; Biological system modeling; Data models; Indexes; MODIS; Reflectivity; Remote sensing; Vegetation mapping; Four scale model; Land cover map; Leaf area index; PROSAIL; Zhangye region;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6352753
Filename :
6352753
Link To Document :
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