Abstract
One of the most extreme climatic occurrences, drought is distinct from other climatic phenomena in that it can happen at any time and in all climatic zones while also varying greatly from one area to another. Farmers in the region encounter considerable temporal and spatial variability in water supply during cropping seasons with frequent and longer dry spells. Agricultural drought is typical in dry land. Therefore, spatio-temporal variation in agricultural drought identification is important for policy maker as well planner. To examine the moisture surplus and deficit of the soil to crop, drought year has been estimated using Standardized Precipitation Index (SPI) 6 with the help of monthly precipitation of 116 years data. Seasonal “Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI) have been estimated to derive three other indices: Vegetation Condition Index (VCI), Temperature Condition Index (TCI), and Vegetation Health Index”. The multispectral band ratios have been performed to evaluate vegetation density and vegetation health to assess drought conditions over the study area (VHI). In order to determine the VHI of the study area for this paper, four years (1990, 2000, 2010, and 2017) were selected, out of which two experienced the severe drought (2000 and 2010).In the year of 1990 VHI value expressed that drought condition of this study area was ranges between moderate droughts to mild droughts but on the other hand in 2017 it fall in the category of severe drought (Below 20 VHI value). The four-year analysis period’s findings indicated that the sample block is currently facing a moderate to severe drought situation.
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Alam, A., Patra, P., Ghosh, A., Satpati, L. (2023). Identification of Spatio-Temporal Extent of Agricultural Drought Using Geospatial Techniques: A Case Study of Chhatna Block, Bankura District, West Bengal, India. In: Alam, A., Rukhsana (eds) Climate Change, Agriculture and Society. Springer, Cham. https://doi.org/10.1007/978-3-031-28251-5_6
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