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Remotely Sensed Spatiotemporal Features of Agrometeorological Drought

  • N. R. Dalezios
  • A. Blanta
  • N. Spyropoulos
Conference paper
Part of the Springer Atmospheric Sciences book series (SPRINGERATMO)

Abstract

The growing number and efficiency of earth observation satellite systems, along with the increasing reliability of remote sensing methodologies, provide a range of new capabilities in monitoring and assessing drought. For the quantitative assessment of agrometeorological or agricultural drought as well as the computation of spatiotemporal features, one of the most reliable and widely used indices is applied, namely the Vegetation Health Index (VHI). The computation of VHI is based on satellite data of temperature and the Normalized Difference Vegetation Index (NDVI). The spatiotemporal features of drought, which are extracted from VHI are: areal extent, onset and end time, duration and severity. In this paper, a 20-year (1981–2001) time series of NOAA/AVHRR satellite data is used, where monthly images of VHI are extracted. Application is implemented in Thessaly, which is the major agricultural region of Greece characterized by vulnerable and drought-prone agriculture. The results show that there are episodes of mild to moderate, as well as severe to extreme droughts, respectively. Also, there is an increase in the areal extent of each drought episode with peaks appearing usually during the summer. Finally, the areas with diachronic drought persistence can be located.

Keywords

Normalize Difference Vegetation Index Brightness Temperature Areal Extent Agricultural Drought Drought Feature 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This research was funded by Pleiades, Smart and Hydrosense EC projects. The conventional meteorological data was provided by the National Meteorological Service of Greece. The precipitation maps were provided by the Joint Research Center (JRC) of EC, Ispra, Italy. The satellite data was provided by NOAA.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Laboratory of Agrometeorology, School of Agriculture SciencesUniversity of ThessalyVolosGreece
  2. 2.Institute ITEMA/CERETETH, Technology Park of ThessalyVolosGreece
  3. 3.Department of Natural Resource Development and Agricultural EngineeringAgricultural University of AthensAthensGreece

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