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Doctorat
Inde
2011
Remote sensing and G I S application for utilization of natural resources for integrated development of Mahaboobnagar district in Andhra Pradesh
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.
Page publiée le 27 mars 2021