Assessing the potential of <i>SWVI</i> (Soil Wetness Variation Index) for hydrological risk monitoring by means of satellite microwave observations
In the last years satellite remote sensing applications in hydrology have considerably progressed. A new multi-temporal satellite data-analysis approach has been recently suggested in order to estimate space-time changes of geophysical parameters possibly related to the increase of environmental and...
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2005-01-01
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doaj-e327dbcb36214558baebf5358e2c844c2020-11-25T01:10:19ZengCopernicus PublicationsAdvances in Geosciences1680-73401680-73592005-01-012221227Assessing the potential of <i>SWVI</i> (Soil Wetness Variation Index) for hydrological risk monitoring by means of satellite microwave observationsT. LacavaM. GrecoM. GrecoM. GrecoE. V. Di LeoG. MartinoN. PergolaF. RomanoF. SannazzaroV. TramutoliV. TramutoliV. TramutoliIn the last years satellite remote sensing applications in hydrology have considerably progressed. A new multi-temporal satellite data-analysis approach has been recently suggested in order to estimate space-time changes of geophysical parameters possibly related to the increase of environmental and hydro-geological hazards. Such an approach has been already used both for flooded area mapping (using AVHRR data) and for soil wetness index estimation (using AMSU data). <P style="line-height: 20px;"> In this work, a preliminary sensitivity analysis of the proposed Soil Wetness Variation Index (<I>SWVI</I>) is made in the case of low intensity meteorological events by the comparison with hydrological (precipitation) data. This analysis, as a first step of a more complex work in progress, is targeted to a first evaluation of the reliability of the <I>SWVI</I> in describing soil response to precipitations of different duration and intensity.http://www.adv-geosci.net/2/221/2005/adgeo-2-221-2005.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
T. Lacava M. Greco M. Greco M. Greco E. V. Di Leo G. Martino N. Pergola F. Romano F. Sannazzaro V. Tramutoli V. Tramutoli V. Tramutoli |
spellingShingle |
T. Lacava M. Greco M. Greco M. Greco E. V. Di Leo G. Martino N. Pergola F. Romano F. Sannazzaro V. Tramutoli V. Tramutoli V. Tramutoli Assessing the potential of <i>SWVI</i> (Soil Wetness Variation Index) for hydrological risk monitoring by means of satellite microwave observations Advances in Geosciences |
author_facet |
T. Lacava M. Greco M. Greco M. Greco E. V. Di Leo G. Martino N. Pergola F. Romano F. Sannazzaro V. Tramutoli V. Tramutoli V. Tramutoli |
author_sort |
T. Lacava |
title |
Assessing the potential of <i>SWVI</i> (Soil Wetness Variation Index) for hydrological risk monitoring by means of satellite microwave observations |
title_short |
Assessing the potential of <i>SWVI</i> (Soil Wetness Variation Index) for hydrological risk monitoring by means of satellite microwave observations |
title_full |
Assessing the potential of <i>SWVI</i> (Soil Wetness Variation Index) for hydrological risk monitoring by means of satellite microwave observations |
title_fullStr |
Assessing the potential of <i>SWVI</i> (Soil Wetness Variation Index) for hydrological risk monitoring by means of satellite microwave observations |
title_full_unstemmed |
Assessing the potential of <i>SWVI</i> (Soil Wetness Variation Index) for hydrological risk monitoring by means of satellite microwave observations |
title_sort |
assessing the potential of <i>swvi</i> (soil wetness variation index) for hydrological risk monitoring by means of satellite microwave observations |
publisher |
Copernicus Publications |
series |
Advances in Geosciences |
issn |
1680-7340 1680-7359 |
publishDate |
2005-01-01 |
description |
In the last years satellite remote sensing applications in hydrology have considerably progressed. A new multi-temporal satellite data-analysis approach has been recently suggested in order to estimate space-time changes of geophysical parameters possibly related to the increase of environmental and hydro-geological hazards. Such an approach has been already used both for flooded area mapping (using AVHRR data) and for soil wetness index estimation (using AMSU data). <P style="line-height: 20px;"> In this work, a preliminary sensitivity analysis of the proposed Soil Wetness Variation Index (<I>SWVI</I>) is made in the case of low intensity meteorological events by the comparison with hydrological (precipitation) data. This analysis, as a first step of a more complex work in progress, is targeted to a first evaluation of the reliability of the <I>SWVI</I> in describing soil response to precipitations of different duration and intensity. |
url |
http://www.adv-geosci.net/2/221/2005/adgeo-2-221-2005.pdf |
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