ASSESSING AGRICULTURAL VULNERABILITY USING GEOMATIC TECHNOLOGY: A CASE STUDY OF SRIVILLIPUTHUR TALUK OF VIRUDHUNAGAR DISTRICT, TAMIL NADU
Agriculture is an economic activity that is highly dependent upon weather and climate in order to produce the food and fiber necessary to sustain human life. The climate variations have direct and indirect effects on agricultural productivity. If these variations continue on a long term period, an issue of agricultural drought and food scarcity occur making agricultural productivity vulnerable. Especially, the effects of climate variation on agriculture are recurrent meteorological phenomenon affecting several parts of the world, in India too. The main objective of the present study is to make an attempt to understand the biophysical aspects of agricultural vulnerability using the modern methods of remote sensing and GIS. Agricultural vulnerability is determined based on Standardized Precipitation Index (SPI), Normalized Difference Vegetation Index (NDVI), and Normalized Difference Water Index (NDWI). SPI values of rain gauge stations are interpolated to determine the spatial pattern and threshold value of drought for agricultural vulnerability. Anomaly of the NDVI and NDWI were classified to determine the agricultural drought vulnerability. SPI, NDVI and NDWI were integrated to classify the agricultural vulnerability of the present study area namely Srivilliputhur Taluk of Virudhunagar district. From the study, it is found out that the north east part is highly vulnerable and the western part of the study area is less vulnerable to agricultural drought. The resultant map shows the spatial distribution of the areas facing agricultural drought conditions. The agricultural vulnerability map will help in the preparation of the area for mitigation measures that will in turn reduce the impacts of climate variation on agriculture.
Agricultural vulnerability, NDWI, NDVI, SPI, Mitigation.
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