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Book of Extended summaries ISDA

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International Conference on Reimagining Rainfed Agro-ecosystems: Challenges &<br />

Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad<br />

T5-21P-1166<br />

Comparative Study on Spatial and Temporal Changes in Urban Settlements<br />

and Land Surface Temperature in Hyderabad over 1990 to 2020<br />

Fawaz Parapurath*, B. S. Rath, Deepti Verma, N. Manikandan and A.V.M. Subba Rao<br />

Odisha University <strong>of</strong> Agriculture and Technology, Bhubaneswar – 751003, Odisha, India<br />

ICAR-Central Research Institute for Dryland Agriculture, Hyderabad – 500059, Telangana, India<br />

* faazzz96here@gmail.com<br />

Land Surface Temperature (LST) is a crucial urban and regional meteorological component<br />

that affects how the ground surface interacts with the atmosphere. LST is considered a<br />

significant parameter in many scientific research studies, including global climate change<br />

studies, agricultural processes, and various biogeochemical cycles. The dynamics <strong>of</strong> LST and<br />

Land Use Land Cover (LULC), are important markers <strong>of</strong> forest fragmentation,<br />

industrialization, and urbanization. Unplanned urbanization results in LULC pattern alterations<br />

on a broad scale, which results in ecosystem damage and has a negative impact on public health,<br />

particularly in developing nations. In this work, we used Landsat 5 and 8 imageries to analyze<br />

the LST variations in Hyderabad from 1990 to 2020. The specific objectives <strong>of</strong> this study were<br />

to compute the change in LULC and LST during the study period and to establish the<br />

relationship between land surface temperature and urban settlements.<br />

Methodology<br />

Landsat 5<br />

TM<br />

LULC Map<br />

Landsat 8<br />

OLI<br />

LULC change detection analysis<br />

Spectral Radiance Model<br />

TM Band<br />

Split Window Algorithm<br />

(TIRS) Band 10 & Band 11<br />

LST Map<br />

Impact <strong>of</strong> LULC change on LST<br />

LST Map<br />

Emerging approaches (RS, AI, ML, Drones etc) for crop management &assessment<br />

746 | Page

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