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Vellore Institute of Technology (VIT) 2018

Evaluation of Vegetation Indices for Assessment of Drought Prone Areas using Geospatial Technology A Case Study for Anantapur District India

Vani.V

Titre : Evaluation of Vegetation Indices for Assessment of Drought Prone Areas using Geospatial Technology A Case Study for Anantapur District India

Auteur : Vani.V

Université de soutenance : Vellore Institute of Technology (VIT) Grade : Doctor of Philosophy (PhD) 2018

Résumé
Drought is a natural disaster that can lead to widespread impacts, including water and food crises. Spatial differences in cropping patterns and crop growing environments with in a district indicate the need of agricultural drought assessment. The agricultural drought occurs when scarce soil moisture produces serious crop stress and affects the crop productivity. The recent advancements in the field of earth observation through different satellite based remote sensing sensors have provided researches a continuous monitoring of vegetation at global scale to regional scale, which can be aid in agricultural drought assessment. the agricultural drought assessment system consider the irrigated and rain-fed agriculture spheres as dissimilar parameters, irrigation data along the rainfall status and satellite data to assess the agricultural drought regional level. In this research, integrated rule base model was developed to assess the agricultural drought condition regional level. The Irrigation and rainfall status are incorporated with the satellite derived vegetation indices. The vegetation indices like Normalize Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index are calculated to the study area. The Soil Moisture Index (SMI) derived from the Landsat satellite images was retrieved using NDVI and Land Surface Temperature (LST) feature space and compared the observed SMI values with insitu soil moisture which shows the +/- 0.05 deviation. 16 day composite MODIS NDVI images derived and analysed along with the crop calendar for Kharif season of 2010(normal year), 2012 (drought year) and 2016 is the present year and assessed crop condition up to mandal level. Integrated the crop condition assessment with NDVI, SAVI and SMI with specific criteria and developed rules, which enhances the utility in analyzing agricultural drought conditions. This rule base model can do the drought assessment up to regional level.

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Page publiée le 28 avril 2021