期刊名称：International Journal of Environment and Geoinformatics
电子版ISSN：2148-9173
出版年度：2019
卷号：6
期号：2
页码：153-162
DOI：10.30897/ijegeo.554465
语种：English
出版社：IJEGEO
摘要：Remote sensing (RS) and Geographic Information System (GIS) has played amajor role in the study of different types of drought i.e. agricultural or hydrologicaldrought. The present study on agricultural Drought assessment was carried outin the Patan District of North Gujarat, India. This study focuses on theassessment of climate change and its impact on Agriculture using Remote Sensing(RS) and GIS technology. The Landsat-7 TM and Landsat-8 OLI data ofFebruary-2002 and February-2018 covering Patan District was analysed for Landuse/Land Cover mapping and monitoring changes in agricultural area over theperiod of 16-years. The Spectral vegetation index namely Normalized DifferenceVegetation Index (NDVI) was computed using Landsat-7 TM and Landsat-8 OLIdigital data for assessment of changes in agricultural vegetation during thedrought and normal monsoon periods. Meteorological data like Minimum Temperatures and rainfall was collected from State Data Centre. VariousDrought indices like Standardized Precipitation Index (SPI), PotentialEvapo-Transpiration (PET) and Aridity Index (AI) were computed using meteorologicaldata of past 16-years. The results indicate that total agriculturalvegetation during drought season was only 21.9 per cent (2002) which hasincreased to 58.7 per cent during the normal monsoon season of 2018. Therainfall deviations were computed for various years and it was observed that highnegative rainfall deviations (-40 to -70%) having low rainfall occurrence wereassociated with negative SPI values ranging from -0.5 to -1.1 in Patandistrict. These positive rainfall deviations were associated with positive SPIvalues of 1.08, 0.57 and 0.62 of respective years indicating moderately wet andmildly wet conditions. During drought year of 2002 total precipitation was veryless resulting in Aridity Index of 0.09 which is classified as hyper arid forthe Patan District.
