Snow Cover Monitoring from EO Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F10%3A10000427" target="_blank" >RIV/00216208:11310/10:10000427 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Snow Cover Monitoring from EO Data
Original language description
Information about snow cover and its dynamics during the snow melt period is of high importance for hydrological modeling. The paper discusses possibilities of continuous and near-real time snow cover monitoring in the Czech Republic based on data collected from the receiving station placed at the Faculty of Science, Charles University in Prague, namely MSG and NOAA/AVHRR. In spite of high temporal resolution, the usability of this data showed to be very low in winter period due to cloud cover. Methodology of snow discrimination from ENVISAT/ASAR was therefore developed and tested. The results of a case study are presented. Advantages of possible combination of both types of data are pointed out.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
DE - Earth magnetism, geodesy, geography
OECD FORD branch
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Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Imagin[e,g] Europe Proceedings of the 29th Symposium of the European Association of Remote Sensing Laboratories, Chania, Greece
ISBN
978-1-60750-493-1
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
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Publisher name
IOS Press BV
Place of publication
Amsterdam
Event location
Chania, Řecko
Event date
Jun 15, 2009
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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