HESS Hydrology and Earth System Sciences HESS Hydrol. Earth Syst. Sci. 1607-7938 Copernicus Publications Göttingen, Germany 10.5194/hess-7-862-2003 Use of remote sensing for hydrological parameterisation of Alpine catchments Bach H. 1 3 Braun M. 2 Lampart G. 1 Mauser W. 2 VISTA Geowissenschaftliche Fernerkundung GmbH Gabelsbergerstr. 51, D-80333 München, Germany University of Munich, Department of Earth and Environmental Sciences, Luisenstrasse 37, D-80333 Munich, Germany Email for corresponding author: bach@vista-geo.de 31 12 2003 7 6 862 876 Copyright: © 2003 H. Bach et al. 2003 This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Generic License. To view a copy of this licence, visit https://creativecommons.org/licenses/by-nc-sa/2.5/ This article is available from https://hess.copernicus.org/articles/7/862/2003/hess-7-862-2003.html The full text article is available as a PDF file from https://hess.copernicus.org/articles/7/862/2003/hess-7-862-2003.pdf

Physically-based water balance models require a realistic parameterisation of land surface characteristics of a catchment. Alpine areas are very complex with strong topographically-induced gradients of environmental conditions, which makes the hydrological parameterisation of Alpine catchments difficult. Within a few kilometres the water balance of a region (mountain peak or valley) can differ completely. Hence, remote sensing is invaluable for retrieving hydrologically relevant land surface parameters. The assimilation of the retrieved information into the water balance model PROMET is demonstrated for the Toce basin in Piemonte/Northern Italy. In addition to land use, albedos and leaf area indices were derived from LANDSAT-TM imagery. Runoff, modelled by a water balance approach, agreed well with observations without calibration of the hydrological model.</p> <p style="line-height: 20px;"><b>Keywords: </b>PROMET, fuzzy logic based land use classification, albedo, leaf area index