Assimilation of vegetation parameters and snow cover derived from EO in the hydrological model PROMET in the frame of CLIMB project

Author

Klug, Philipp ; Migdall, Silke ; Bach, Heike

Author_Institution

VISTA Remote Sensing in Geosci. GmbH, Munich, Germany

fYear

2012

fDate

22-27 July 2012

Firstpage

836

Lastpage

839

Abstract

An exact parameterization of vegetation is important for correct hydrological modeling since transpiration is a key variable in the water cycle. A data assimilation strategy, using spatially and temporally distributed vegetation parameters derived from Landsat satellite images to improve calculations of the hydrological model PROMET, is established and implemented by VISTA within the frame of the EU FP7 project CLIMB (Climate Induced Changes on the Hydrology of Mediterranean Basins) in the catchment of the river Noce (Italy). Also, a comparison of modeled snow cover and snow cover maps derived from satellite imagery shows advantages and disadvantages of assimilating snow cover maps from remote sensing in a hydrological model.

Keywords

data assimilation; evaporation; rivers; snow; vegetation; CLIMB project; EU FP7 project; Italy; Landsat satellite images; Mediterranean basin hydrology; Noce river; PROMET hydrological model; climate induced changes; climb project frame; correct hydrological modeling; data assimilation strategy; remote sensing; snow cover maps; spatially distributed vegetation parameter; temporally distributed vegetation parameter; vegetation parameter assimilation; Data models; Remote sensing; Rivers; Satellites; Snow; Standards; Vegetation mapping; CLIMB; Data assimilation; PROMET; Polar View; hydrological modeling; snow cover;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Conference_Location

Munich

ISSN

2153-6996

Print_ISBN

978-1-4673-1160-1

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2012.6351431

Filename

6351431