Remotely sensed NDVI as an indicator of drought stress on the vegetation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F13%3A00213248" target="_blank" >RIV/62156489:43210/13:00213248 - isvavai.cz</a>
Result on the web
<a href="http://www.cbks.cz/SbornikSkalice2013/pdf/Semer%C3%A1dov%C3%A1.pdf" target="_blank" >http://www.cbks.cz/SbornikSkalice2013/pdf/Semer%C3%A1dov%C3%A1.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Remotely sensed NDVI as an indicator of drought stress on the vegetation
Original language description
The ability of remotely sensed Normalized Difference Vegetation Index (NDVI) in form of seasonal greenness (SG) was tested to explain water balance and drought occurrence through various vegetation covers. For this purpose data from 6 districts (Olomouc,Přerov, Znojmo, Břeclav, Žďár nad Sázavou and Havlíčkův Brod) within the Czech Republic were analysed. Namely , data mining technique was used, which was originally developed for machine learning community, but is increasingly used for a variety of applications. Relative form of Palmer Drought Severity Index (rPDSI) was used as dependent variable to indicate drought occurrence. Standardized Precipitation Index (SPI),Percent of Average SG (PASG), Start of Season Anomaly (SOSA) and district identification were used as independent variables. MODIS (Moderate Resolution Imaging Spectroradiometer) observations from Terra satellite were used as a source of NDVI and Cubist software v 2.07 (RuleQuest Research, Australia) for data mining. The co
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
DG - Atmospheric sciences, meteorology
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Environmental Changes And Adaptation Strategies
ISBN
978-80-552-1066-7
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
1-3
Publisher name
Slovak University of Agriculture in Nitra
Place of publication
Nitra
Event location
Skalica
Event date
Jan 1, 2013
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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