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

Abstract

Semi-arid Marathwada economy depends on agricultural productionand in recent decades the drought has been observed as anall partof the several recurrent climatesrelated environmental hazardsin region, frequently destroyinglivelihood, socio-economy, and food securityof 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 techniqueseffectively using for drought management, mitigation practices, monitoring and assessment.The main objective of study is toanalyze VCIandTCIindices.MOD11A2 and MOD13C2 data(year2000, 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 isdirectly related to the seasonal rainfall as well as TCI of region. The analysis reveals that theconformation of demonstratingextension and severity of aridity in the Marathwada region. Themotivation behind the examination to computethe vegetation index (NDVI) and Temperature Condition Index helps to review of agricultural practices and water use.