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

摘要

Vegetation and hydrological monitoring by using satellite images became an important research field for several years. 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{sup}(surf), required for estimating evapotranspiration; this paper addresses the problem of computing spatial maps of T{sup}(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.