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Anna University (2020)

Integration of optical and microwave remote sensing with meteorological data to infer soil moisture and drought condition through predictive modelling

Thanabalan, P

Titre : Integration of optical and microwave remote sensing with meteorological data to infer soil moisture and drought condition through predictive modelling

Auteur : Thanabalan, P

Université de soutenance : Anna University

Grade : Doctor of Philosophy (PhD) 2020

Résumé partiel
Drought produce wide range of impacts than span across many sector of the India’s economy. In India, the occurrence of drought is influenced by a number of factor such as cropping choices and agronomic practices, soil types, drainage and ground water profiles. India receives most of its rainfall (73%) from the south-west or "summer" monsoon (i.e), (the rainfall received between June and September). The summer monsoon sets in during the first week of June in the south-west corner of India and gradually proceeds towards the north-west region covering the entire country by the second week of July. The withdraw of the monsoon commences in the first week of September from the west and north and recedes from most parts of the country by the month-end. Thus use of rainfall and temperature datasets are in very good agreement with the drought monitoring and assessment. This dissertation is focused on exploring the possibilities to consider efficient methods to infer soil moisture to predict drought condition using optical and microwave remote sensing techniques. In this study, an attempt has been made to understand the monsoon pattern in India and to come out with appropriate solutions based on spatial and temporal time series analysis and scientific prediction methods. Two different methodology is proposednamely India at regional scale for drought assessment and a part of Theni district in south TamilNadu an semi-arid region have been selected for this research work.

Présentation et version intégrale (Shodhganga)

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