Use of remote sensing for hydrological parameterisation of Alpine catchments

被引:17
作者
Bach, H
Braun, M
Lampart, G
Mauser, W
机构
[1] VISTA Geowissensch Fernerkundung GmbH, D-80333 Munich, Germany
[2] Univ Munich, Dept Earth & Environm Sci, D-80333 Munich, Germany
关键词
PROMET; fuzzy logic based land use classification; albedo; leaf area index;
D O I
10.5194/hess-7-862-2003
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
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.
引用
收藏
页码:862 / 876
页数:15
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