Snow Cover Mapping Using ENVISAT ASAR Imagery in the Conditions of the Czech Republic

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Snow Cover Mapping Using ENVISAT ASAR Imagery in the Conditions of the Czech Republic

Popis výsledku v původním jazyce

This paper describes the feasibility of mapping snow cover extent by means of time-series of SAR images of the sensor ENVISAT ASAR in the conditions of the Czech Republic. The methodology is based on evaluating a change in absorption of a radar signal inthe snow pack due to the liquid water content. Two images with same acquisition geometry are compared: the first one is a reference image acquired under dry snow or snow free conditions, the second one gathered during a snowmelt period. The main objectives were to suggest most suitable conditions for acqui-sition of reference images and to define a threshold value for wet snow classification with respect to a chosen reference image and a type of land cover. Results were compared with maps of snow coverderived from MODIS and MSG data and with data from meteorological stations of the Czech Hydrometeorological Institute (CHMI). The same methodology was also tested on three TerraSAR-X images. The results showed that the most suitable refe

Název v anglickém jazyce

Snow Cover Mapping Using ENVISAT ASAR Imagery in the Conditions of the Czech Republic

Popis výsledku anglicky

This paper describes the feasibility of mapping snow cover extent by means of time-series of SAR images of the sensor ENVISAT ASAR in the conditions of the Czech Republic. The methodology is based on evaluating a change in absorption of a radar signal inthe snow pack due to the liquid water content. Two images with same acquisition geometry are compared: the first one is a reference image acquired under dry snow or snow free conditions, the second one gathered during a snowmelt period. The main objectives were to suggest most suitable conditions for acqui-sition of reference images and to define a threshold value for wet snow classification with respect to a chosen reference image and a type of land cover. Results were compared with maps of snow coverderived from MODIS and MSG data and with data from meteorological stations of the Czech Hydrometeorological Institute (CHMI). The same methodology was also tested on three TerraSAR-X images. The results showed that the most suitable refe

Druh

D - Stať ve sborníku

CEP obor

DE - Zemský magnetismus, geodesie, geografie

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 31st EARSeL Symposium

ISBN

978-80-01-04868-9

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

191-198

Název nakladatele

EARSeL

Místo vydání

Neuveden

Místo konání akce

Praha

Datum konání akce

30. 5. 2011

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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