A FEASIBILITY STUDY OF LEAF AREA INDEX INVERSION<br />
USING RADIATIVE TRANSFER MODEL BASED ON TM DATA

doi:10.6046/gtzyyg.2007.02.11

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Abstract

Using a canopy radiative transfer model, PROSAIL, the authors introduced soil reflection index（SRI） to simplify model, and proposed a method for computing SRI directly from reflection. Besides, sensitivity analyses of various vegetation parameters on modeling performance under different band integration approaches were conducted. On the basis of sensitivity analyses of the model, a set of new band integration approaches with genetic algorithm was induced to calculate the estimating values of LAI for Landsat TM data . Experiments with Landsat TM data indicate that the retrieval accuracy is relatively high for vegetation with LAI less than 3, and that, with LAI more than 3, the retrieval accuracy is low. These phenomena are attributed to the fact that the canopy reflection is no longer sensitive to LAI when the vegetation is too densely developed. From this study, it is concluded that LAI retrieval with the PROSAIL model is only credible in a certain range.

Keywords Normalization vegetation index Fuzzy mathematical way MiXed Pixel Water area

TP79

Issue Date: 24 July 2009

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Cite this article:

CHEN Yan-Hua, ZHANG Wan-Chang, YONG Bin. A FEASIBILITY STUDY OF LEAF AREA INDEX INVERSION
USING RADIATIVE TRANSFER MODEL BASED ON TM DATA[J]. REMOTE SENSING FOR LAND & RESOURCES,2007, 19(2): 44-49.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2007.02.11 OR https://www.gtzyyg.com/EN/Y2007/V19/I2/44

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