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Description
  • The main aim of the submitted study was to introduce how the remotely sensed NDVI (Normalized Diff erence Vegetation Index) could be used for agricultural drought assessment within the Czech Republic. The relationship between NDVI values and observed yields of spring barley and winter wheat was analyzed for selected districts. Moreover the ability of NDVI (at district level in the form of seasonal greenness -- SG) to explain the water balance or drought occurrence and severity was tested. For this purpose a data mining technique was used. A relative form of the Palmer Drought Severity Index (rPDSI) was used as a dependent variable to indicate drought occurrence. A Standardized Precipitation Index (SPI), percentage of average SG (PASG), Start of Season Anomaly (SOSA) and district identifi cation were used as independent variables. MODIS (Moderate Resolution Imaging Spectroradiometer) observations from the Terra satellite were used as a source of NDVI. Th e situation within 6 selected districts (Olomouc, Přerov, Znojmo, Břeclav, Žďár nad Sázavou and Havlíčkův Brod) during the period from 2000 to 2012 was analyzed. Promising results were achieved, so practical use of this approach (e.g. for spatial and temporal assessment of drought stress within the vegetation) could be expected.
  • The main aim of the submitted study was to introduce how the remotely sensed NDVI (Normalized Diff erence Vegetation Index) could be used for agricultural drought assessment within the Czech Republic. The relationship between NDVI values and observed yields of spring barley and winter wheat was analyzed for selected districts. Moreover the ability of NDVI (at district level in the form of seasonal greenness -- SG) to explain the water balance or drought occurrence and severity was tested. For this purpose a data mining technique was used. A relative form of the Palmer Drought Severity Index (rPDSI) was used as a dependent variable to indicate drought occurrence. A Standardized Precipitation Index (SPI), percentage of average SG (PASG), Start of Season Anomaly (SOSA) and district identifi cation were used as independent variables. MODIS (Moderate Resolution Imaging Spectroradiometer) observations from the Terra satellite were used as a source of NDVI. Th e situation within 6 selected districts (Olomouc, Přerov, Znojmo, Břeclav, Žďár nad Sázavou and Havlíčkův Brod) during the period from 2000 to 2012 was analyzed. Promising results were achieved, so practical use of this approach (e.g. for spatial and temporal assessment of drought stress within the vegetation) could be expected. (en)
Title
  • Remotely sensed NDVI as a support tool for agricultural drought assessment
  • Remotely sensed NDVI as a support tool for agricultural drought assessment (en)
skos:prefLabel
  • Remotely sensed NDVI as a support tool for agricultural drought assessment
  • Remotely sensed NDVI as a support tool for agricultural drought assessment (en)
skos:notation
  • RIV/62156489:43210/13:00213128!RIV14-MSM-43210___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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  • P(EE2.3.20.0248), P(EE2.4.31.0056), P(LH11010)
http://linked.open...vai/riv/dodaniDat
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  • 102333
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  • RIV/62156489:43210/13:00213128
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • remote sensing; Palmer Drought Severity Index; yields (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [9A3269A056DE]
http://linked.open...v/mistoKonaniAkce
  • Brno
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  • Brno
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  • Global Change and Resilience
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http://linked.open...iv/tvurceVysledku
  • Hlavinka, Petr
  • Lukas, Vojtěch
  • Semerádová, Daniela
  • Trnka, Miroslav
  • Žalud, Zdeněk
  • Balek, Jan
  • Hayes, Michael
  • Bohovic, Roman
  • Wardlow, Brian
  • Tadesse, Tsegaye
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • Global Change Research Centre, AS CR, v. v. i.
https://schema.org/isbn
  • 978-80-904351-9-3
http://localhost/t...ganizacniJednotka
  • 43210
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