THE ESTIMATION OF LAI IN HEIHE RIVER BASIN USING REMOTELY SENSED DATA

doi:10.6046/gtzyyg.2004.01.07

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Abstract The aim of this paper is to investigate the feasibility of using Landsat 7 ETM⁺ data to estimate Leaf Area Index (LAI).The investigation is prompted by the need of obtaining spatially distributed data on LAI which serve as an important input for distributive hydrological modeling of Heihe Basin. Using detailed field data of Zhangye Oasis and Qilian Mountain collected in September 2002, the authors investigated the relationship between contemporary field data and remotely sensed ETM⁺ data, which include ETM⁺ 3, 4, 5, 7 and some vegetation indices such as Simple Ratio (SR), Normalized Difference Vegetation Index (NDVI), Atmospherically Resistant Vegetation Index (ARVI), Reduced Simple Ratio (RSR), Perpendicular Vegetation Index (PVI), Soil-Adjusted Vegetation Index (SAVI) and Generalized Soil-Adjusted Vegetation Index (GESAVI). The best approach to the estimation of LAI was found on the basis of statistical analysis. According to the specific natural conditions of Heihe Basin, it is thought that the most reliable method should be the division of the study area into sparse stands and dense stands, with SAVI used in the estimation of LAI in the former stands and ARVI in the latter stands. In such a way, the estimation and spatial mapping of LAI of the whole study area can be completed.

Issue Date: 02 August 2011

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Cite this article:

FANG Xiu-qin, ZHANG Wan-chang, LIU San-chao . THE ESTIMATION OF LAI IN HEIHE RIVER BASIN USING REMOTELY SENSED DATA[J]. REMOTE SENSING FOR LAND & RESOURCES,2004, 16(1): 27-31.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2004.01.07 OR https://www.gtzyyg.com/EN/Y2004/V16/I1/27

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