Assessment of the Vegetation Dryness Index Based on Satellite Imagery in Sistan & Balouchestan province
Subject Areas : Remote sensing,
kamal
omidvar
1
(Professor, Department of Geography, Campus of Humanities and Social Sciences, Yazd University, Iran)
Masoumeh
NabaviZadeh
2
(PhD student in Geography, Campus of Humanities and Social Sciences, Yazd University, Iran)
Hamid Reza
Ghafarian malmiri
3
(Assistant Professor, Department of Geography, Campus of Humanities and Social Sciences, Yazd University, Iran)
Ahmad
Mazidi
4
(Associate Professor, Department of Geography, Campus of Humanities and Social Sciences, Yazd University, Iran)
Keywords: Standard precipitation index (SPI), drought, VDI Index, Precipitation Data of GLDAS Global Model, Moderate Resolution Imaging Spectroradiometer,
Abstract :
Decreasing of precipitation and Increasing of temperature, leads to extreme climate events such as drought which drastically impact on agricultural. Knowledge about the timing, severity and extent of drought can aid planning and decision-making. Drought indices derived from in-situ meteorological data have coarse spatial and temporal resolutions. Thus, obtaining a real-time drought condition over a large area is difficult. Therefore, drought indices which is derived from remote-sensing data, has been widely used for drought monitoring..In this study, Vegetation Drought Index (VDI) was evaluated in Sistan & Balouchestan Province To do this, Terra Moderate Resolution Imaging Spectroradiometer MODIS (MOD02HKM and MOD11A1 ), Standard Precipitation Index (SPI) and monthly precipitation data GLDAS from 2000 to 2018 were utilized to evaluate VDI.Accuracy of the Drought spatial distribution maps based on Pearson correlation coefficient was used data. Results indicate high significant correlation rate in the study area. Thus VDI, has the potential to monitor agricultural drought in the case of study and the drought indices based on remote sensing data could well use in drought early warning systems.
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