Monitoring and spatio-temporal evolution researching on vegetation leaf water in China

Author

Du, Xiao ; Zhou, Yi ; Wang, Shixin ; Zhang, Pei

Author_Institution

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

Volume

6

fYear

2004

fDate

20-24 Sept. 2004

Firstpage

4273

Abstract

Water plays an important role in the growth of vegetation. The research on vegetation water content is necessary to monitor the degree of drought, flood and ecological security. When we observe the large area and need rapidly response, remote sensing has advantage in monitoring and estimating the vegetation water content. NOAA-AVHRR data is usually used by original process of estimating on vegetation water content. Contrast with the former, MODIS is preferred in moderate spatial resolution (250 m, 500 m, 1000 m), moderate spectral resolution (36 spectral bands) and appropriate temporal resolution (national-wide image can be updated in about 2 days). This paper describes the process of retrieving vegetation leaf water based on the GVMI model using the MODIS data, verifies the relation between vegetation water content and index of drought

Keywords

data acquisition; ecology; floods; hydrological techniques; rain; spatiotemporal phenomena; vegetation mapping; water resources; China; GVMI model; MODIS; NOAA-AVHRR data; drought; ecological security; flood; leaf water monitoring; leaf water retrieval; remote sensing; spatiotemporal evolution; spectral resolution; temporal resolution; vegetation leaf water; vegetation water content; Data security; Floods; Image resolution; MODIS; Moisture; Reflectivity; Remote monitoring; Spatial resolution; Vegetation mapping; Water resources;

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.2004.1370080

Filename

1370080