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Accueil du site → Doctorat → Inde → 2011 → Remote sensing and G I S application for utilization of natural resources for integrated development of Mahaboobnagar district in Andhra Pradesh

Sri Krishnadevaraya University (2011)

Remote sensing and G I S application for utilization of natural resources for integrated development of Mahaboobnagar district in Andhra Pradesh

Manjulatha,P. Laveena

Titre : Remote sensing and G I S application for utilization of natural resources for integrated development of Mahaboobnagar district in Andhra Pradesh

Auteur : Manjulatha,P. Laveena

Université de soutenance : Sri Krishnadevaraya University

Grade : Doctor of Philosophy (PhD) in Physics 2011

Résumé partiel
This study was carried out with the aim of investigating Utilization of natural resources like temporal variability of vegetation cover, land surface temperature and their relationships with rainfall over Mahabubnagar District using Remote sensing, G.I.S. and NOAA AVHRR data during the five years period from 2005-2010. Monthly maximum cloud free NOAA AVHRR LAC IB data were downloaded from the satellite active archives. Monthly Maximum Value Composites (MVCs) of Normalized Difference Vegetation Index (NDVI) were derived for the available images. Monthly Land Surface Temperature (LST) images were derived using the Split Window Algorithm adopted by Uleveri et. al. (1994). Monthly averages of rainfall were obtained from the rainfall surfaces developed with ground data. The patterns of changes in NDVI, LST and rainfall during the study period were studied using the data obtained from satellite images and ground observations. Relationships between NDVI and lag rainfall and Rainfall and LST were studied using correlation and Simple Linear Regression analyses. Findings of the present study show the potentials of low resolution NOAA AVHRR data for monitoring the changes in land cover over Wet, Intermediate and Dry zones in the district as well as for identifying and making inferences on the occurrences of dry and wet spells over time. The results show that monthly average NDVI values over the district are in the range of 0.24-0.47. A clear difference was observed in the LST among three zones with observed higher values ranging from 26.80C - 43.7 0C in dry zone and lower values ranging from 23.7 0C - 33.7 0C in Wet zone. In all three zones, the maximum LST values were reported during the month of March.

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