DocumentCode :
2903192
Title :
Estimation of Leaf Area Index Using Remote Sensing in the Groundwater-Fluctuating Belt in Lower Reaches of Heihe River, Northwest China
Author :
Jia Yanhong ; Zhao Chuanyan ; Zhou Li ; Niu Boying
Author_Institution :
Lanzhou Univ., Lanzhou, China
Volume :
3
fYear :
2009
fDate :
4-5 July 2009
Firstpage :
462
Lastpage :
465
Abstract :
The leaf area index (LAI) is an important parameter to characterize the canopy evapotranspiration of regional vegetation. For studying the ecological water requirement of vegetation in the groundwater-fluctuating belt in lower reaches of Heihe River, northwest China, a maximum growing season LAI was estimated by the regression relation between the measured value (from LAI-2000) and the estimated value of some spectral vegetation indexes, such as Ratio Vegetation Index (RVI), Difference Vegetation Index (DVI), Green Vegetation Index (GVI), Normalized Difference Vegetation Index (NDVI), Soil Adjusted Vegetation Index (SAVI) and Modified Soil Adjusted Vegetation Index (MSAVI) which were from the image of Landsat TM. The conclusions show that the relationship model between GVI and LAI was the optimal model to simulate the spatial distribution of LAI with correlation coefficient 0.66 in the study area. And the LAI value is changing from 0.004 to 3.753 in this region.
Keywords :
evaporation; groundwater; hydrology; remote sensing; rivers; transpiration; vegetation; water resources; Heihe River; Landsat TM; canopy evapotranspiration; difference vegetation index; ecological water requirement; green vegetation index; groundwater-fluctuating belt; leaf area index; modified soil adjusted vegetation index; normalized difference vegetation index; northwest China; ratio vegetation index; regional vegetation; remote sensing; soil adjusted vegetation index; Area measurement; Belts; Biological system modeling; Ecosystems; Productivity; Remote sensing; Rivers; Satellites; Vegetation mapping; Water resources; LAI; groundwater-fluctuating belt; lower reaches of Heihe River; remote sensing; vegetation indexes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3682-8
Type :
conf
DOI :
10.1109/ESIAT.2009.403
Filename :
5199731
Link To Document :
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