Detection of drought events using combination of satellite data and soil moisture modelling

0473287 - ÚVGZ 2017 RIV CZ eng C - Konferenční příspěvek (zahraniční konf.)
Semerádová, Daniela - Trnka, Miroslav - Hlavinka, Petr - Balek, Jan - Bohovič, Roman - Tadesse, T. - Hayes, M. - Wardlow, B. - Žalud, Zdeněk
Detection of drought events using combination of satellite data and soil moisture modelling.
Mendel and Bioclimatology. Brno: Mendel university in Brno, 2016 - (Březina, J.; Halová, H.; Litschmann, T.; Rožnovský, J.; Středa, T.; Středová, H.), (2016), s. 299-305. ISBN 978-80-7509-397-4.
[International Conference on Mendel and Bioclimatology. Brno (CZ), 03.09.2014-05.09.2014]
Grant CEP: GA MŠMT(CZ) EE2.3.20.0248
Institucionální podpora: RVO:67179843
Klíčová slova: vegetation * modis * products * drought monitor * remote sensing * modis * ndvi * seasonal greenness
Kód oboru RIV: DG - Vědy o atmosféře, meteorologie

The use of satellite data offers a potentially well usable tool to accurate drought monitoring. The study examines the space-time possibility of agricultural drought detection using freely available data from the MODIS instrument onboard Terra and Aqua satellites that reflects vegetation condition. Vegetation greenness metrics used in this study are based on the spectral reflectance curves in the visible red and near-infrared part of the spectrum and are expressed in relation to the average for the period of 2000-2014. The results are presented in weekly time step for the whole area of the Czech Republic, and are compared to the drought monitor system, based on the SoilClim dynamic model for soil water content estimates. These data, as well as other parameters, such as soil properties and land use, are integrated at 500 meters spatial resolution.
Trvalý link: http://hdl.handle.net/11104/0270444