Abstract
Due to the importance of drought, drought monitoring and variations impact analysis are necessary for preparing appropriate management approaches, but rainfall data are very limited and of low distribution over the world. Remote sensing as an important tool has been widely used for drought managing and monitoring. To do this, the Moderate Resolution Imaging Spectroradiometer (MODIS) data between the years 2000 and 2015 were used to derive Normalized Difference Vegetation Index (NDVI), Vegetation Condition Index (VCI), Temperature Condition Index (TCI), Vegetation Health Index (VHI), and Normalized Difference Water Index (NDWI). The 3-month Standardized Precipitation Index (SPI-3) using 31 meteorological stations located in Tehran province has been analyzed for the meteorological drought. In the next step, Pearson’s correlation coefficient between vegetation indices and SPI was used to select the best vegetation indices. Finally, the appropriate model between the 3-month SPI and vegetation indices were estimated. The results showed that the climate conditions in the study area had more consistency with the results from TCI and VHI. The results obtained to apply VHI and TCI show the severe drought in the years 2000, 2001, 2008, and 2015 in Tehran Province.
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Notes
A qanat is a system for transporting water from an aquifer or water well to the surface, through an underground aqueduct.
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Hashemzadeh Ghalhari, M., Vafakhah, M. & Damavandi, A.A. Agricultural drought assessment using vegetation indices derived from MODIS time series in Tehran Province. Arab J Geosci 15, 412 (2022). https://doi.org/10.1007/s12517-022-09741-9
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DOI: https://doi.org/10.1007/s12517-022-09741-9