Fusion of Landsat TM, NOAA/AVHRR and DEM data for generating daily high resolution maps of land surface temperature in a semi-arid catchment

Author

Lahoche, F. ; Herlin, I.

Author_Institution

INRIA, Le Chesnay, France

Volume

2

fYear

2001

fDate

2001

Firstpage

700

Abstract

Vegetation and hydrological monitoring by using satellite images has become an important research field. Both high temporal frequency and detailed spatial information are essential for an effective interpretation of satellite images. In particular, we focus on land surface temperature T^surf, required for estimating evapotranspiration; this paper addresses the problem of computing spatial maps of T^surf with a good spatial resolution and a high temporal frequency. For this purpose, we define a coupling process between Landsat TM, NOAA/AVHRR and DEM data

Keywords

remote sensing; sensor fusion; temperature measurement; DEM data; Landsat Thematic Mapper data; Mkomazi river catchment; NOAA/AVHRR data; South Africa; evapotranspiration; high resolution maps; hydrological monitoring; land surface temperature; satellite images; semi-arid catchment; spatial information; spatial maps; vegetation monitoring; Brightness temperature; Frequency estimation; Fusion power generation; Land surface; Land surface temperature; Pixel; Remote sensing; Satellites; Spatial resolution; Temperature sensors;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International

Conference_Location

Sydney, NSW

Print_ISBN

0-7803-7031-7

Type

conf

DOI

10.1109/IGARSS.2001.976607

Filename

976607