D. Das, B. Mulia and B.B. Kar
Abstract
In global climatic change, remote sensing has proved itself to serve as a powerful tool to predict various interrelationships among environmental parameters. This technique could explain and analyze the normalized difference Vegetation Index to predict the soil moisture content of various places and related agricultural and seasonal issues. In the present study, the NDVI data has been utilized to analyze the soil moisture content of various districts of Odisha from 2012 to 2016, which could provide an impression about the sessional changes that occur in every month basis from 2012 to 2016. Depending on these variations, it is possible to predict the expected changes that could take place in the coming years and accordingly the vegetations can be planned.