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Temporal divergence in cropping pattern and its implications on geospatial drought assessment
Authors:C S Murthy  M VR Sesha Sai  M Naresh Kumar  P S Roy
Institution:1. Remote Sensing and GIS Applications Area, National Remote Sensing Centre, ISRO , Hyderabad, 500 625, India murthy_cs@nrsa.gov.in;3. Remote Sensing and GIS Applications Area, National Remote Sensing Centre, ISRO , Hyderabad, 500 625, India;4. Software Development and Database Systems Group, National Remote Sensing Centre, ISRO , Hyderabad, 500 625, India
Abstract:Time series data on cropping pattern at disaggregated level were analysed and its implications on geospatial drought assessment were demonstrated. An index of Cropping Pattern Dissimilarity (CP-DI) between a pair of years, developed in this study, proved that the cropping pattern of a year has a higher degree of similarity with that of recent past years only and tends to be dissimilar with longer time difference. The temporal divergence in cropping pattern has direct implications on geospatial approach of drought assessment, in which, time series NDVI data are compared for drought interpretation. It was found that, seasonal NDVI profiles of drought year and normal year did not show any anomaly when the cropping patterns were dissimilar and two normal years having dissimilar cropping pattern showed different NDVI profiles. Therefore, it is suggested that such temporal comparisons of NDVI are better restricted to recent past years to achieve more objective interpretation.
Keywords:cropping pattern  crop area  agricultural drought  dissimilarity  NDVI
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