DocumentCode :
3365957
Title :
Impact of satellite-based soil moisture index on hydrological simulation for floods prediction
Author :
Boni, G. ; Candela, L. ; Castelli, F. ; Caparrini, F. ; Delogu, F. ; Persi, D. ; Rudari, R.
Author_Institution :
CIMA Res. Found., Savona, Italy
fYear :
2010
fDate :
25-30 July 2010
Firstpage :
3857
Lastpage :
3860
Abstract :
This paper assesses the impact of soil moisture indexes that can be retrieved via different techniques from thermal IR satellite observations on the re-initialization of flood prediction models. The work considers 2 types of index, one based on thermal inertia, and the second that puts together satellite derived LST and a simplified energy balance model using a variational data assimilation schemes. Results are discussed with reference to an operational flood forecasting framework. Case studies are three catchments in Italy.
Keywords :
data assimilation; floods; hydrological techniques; land surface temperature; remote sensing; soil; Italy; catchments; flood prediction model reinitialization; hydrological simulation; operational flood forecasting framework; satellite derived LST; satellite-based soil moisture index; simplified energy balance model; thermal IR satellite observations; thermal inertia; variational data assimilation; Floods; Indexes; Land surface; Land surface temperature; Predictive models; Satellites; Soil moisture; LST; Soil moisture; data assimilation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
ISSN :
2153-6996
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2010.5653512
Filename :
5653512
Link To Document :
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