Inversion and spatial scale effects analysis of Leaf Area Index

Author

Yongming Du ; Liang-fu Chen ; Yang, Lei ; Liu, Qing Huo

Author_Institution

Inst. of Remote Sensing Applications, Chinese Acad. of Sci., Beijing

Volume

7

fYear

2004

fDate

20-24 Sept. 2004

Firstpage

4474

Abstract

This paper presents an application in which field data, TM data and MODIS data are used for mapping LAI of Qianyanzhou in Jiangxi province, south China. The field LAI data are collected by Tracing Radiation and Architecture of Canopies (TRAC). We get the linear relationship between measured LAI and simple ratio vegetation index (SR: the ratio of NIR reflectance and Red reflectance) from the corresponding pixels, then the LAI image from TM data is produced and is referred as LAI ground true for further studies. After comparing and analyzing the different LAI images, it shows that the uncertainties really existed among the different kinds of the LAI images with same resolution, it also reveals that the spatial up-scaling effects are closely related to sub-pixel complicacy

Keywords

geophysical signal processing; image resolution; vegetation mapping; Jiangxi province; LAI ground image; LAI mapping; MODIS data; Moderate Resolution Imaging Spectroradiometer data; NIR-Red reflectance ratio; Qianyanzhou; SR vegetation index; TM data; TRAC; Thematic Mapper data; Tracing Radiation and Architecture of Canopies; field LAI data; inversion effect; leaf area index; simple ratio vegetation index; south China; spatial scale effect; subpixel complicacy; Educational institutions; Extraterrestrial measurements; Image resolution; Land surface; MODIS; Remote sensing; Satellites; Signal resolution; Uncertainty; Vegetation mapping;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International

Conference_Location

Anchorage, AK

Print_ISBN

0-7803-8742-2

Type

conf

DOI

10.1109/IGARSS.2004.1370145

Filename

1370145