Marathwada agro-climatic drought detection by utilization of temperature and vegetation index records

Abstract

Semi-arid Marathwada economy depends on agricultural production and in recent decades the drought has been observed as an all part of the several recurrent climates related environmental hazards in region, frequently destroying livelihood, socio-economy, and food security of region. The economy of the nation affected due to less productivity of crops as well as decreases the soil moisture. In present work the remote sensing, image processing and geospatial techniques effectively using for drought management, mitigation practices, monitoring and assessment. The main objective of study is to analyze VCI and TCI indices. MOD11A2 and MOD13C2 data (year 2000, 2005, 2014 and 2016) is used for derive the TCI and VCI respectively. Time series of TCI and VCI shows that in certain years resembles each other’s and their result helps to determined occurrence and severity drought. The result shows the seasonal VCI is directly related to the seasonal rainfall as well as TCI of region. The analysis reveals that the conformation of demonstrating extension and severity of aridity in the Marathwada region. The motivation behind the examination to compute the vegetation index (NDVI) and Temperature Condition Index helps to review of agricultural practices and water use.