Hydrological information from temporal and spatial variation in surface temperature/vegetation index

Author

Sandholt, Inge ; Dybkjaer, Gorm ; Rasmussen, Kjeld

Author_Institution

Inst. of Geogr., Copenhagen Univ., Denmark

Volume

5

fYear

1998

fDate

6-10 Jul 1998

Firstpage

2414

Abstract

As part of the INTEO project (Integration of Earth Observation data in agrohydrological models), the Ts-NDVI relationship has been analysed for 41 NOAA-AVHRR images from 1990 covering West Africa. A new dryness index based on the Ts-NDVI space is suggested, and the spatial and temporal variation of the index is analysed. The method is promising, and the potentials of including the information in a distributed hydrological model seem large. However, work still has to be done on setting up methods to define the coefficients for the index, and the index has to be calibrated to soil moisture

Keywords

hydrological techniques; moisture measurement; remote sensing; soil; AVHRR image; INTEO project; IR radiometry; Integration of Earth Observation data in agrohydrological models; NDVI; dryness index; hydrology; measurement technique; remote sensing; soil moisture; spatial variation; surface temperature; temporal variation; vegetation index; Africa; Earth; Geography; Information analysis; Predictive models; Rivers; Soil moisture; Temperature; Vegetation; Water;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International

Conference_Location

Seattle, WA

Print_ISBN

0-7803-4403-0

Type

conf

DOI

10.1109/IGARSS.1998.702231

Filename

702231