Open AccessComparison of a decade’s data between LST and NDVI data for agricultural drought analysis in Rayalaseema region, AP, India
Author(s) -
Gayathry Damarla,
Naga Chaitanya Kavuri
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1136/1/012009
Subject(s) - normalized difference vegetation index , agriculture , precipitation , environmental science , vegetation (pathology) , agricultural productivity , climatology , physical geography , climate change , geography , meteorology , geology , medicine , oceanography , archaeology , pathology
Drought is an extreme weather condition that disturbs agricultural production by raising the temperatures and altering precipitation patterns. As agriculture in India heavily depends on monsoon, any changes in these patterns will severely affects its agricultural economy. Rayalaseema is one of such regions which was hit by sever draught conditions in past few decades. The region depends on the traditional agricultural economy; thus, not only production but also the life of the common man is influenced by the impact of drought on agriculture. The purpose of this study is to investigate vegetation stress in the Rayalaseema region with the help of normalised difference vegetation index (NDVI) values and land surface temperature (LST) for the years 2011 and 2019. To measure both NDVI and LST, satellite data is used. A clear interdependency between LST and NDVI was observed and it was found to be a negative correlation between them. The correlation values for 2011 and 2019 between LST and NDVI were found to be -0.44577, -0.80447 respectively. The influence of rain fall data was also discussed in the study to explain the increase in NDVI values during the last quarter of 2019.