Book of Extended summaries ISDA
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Book of Extended summaries ISDA

Book of Extended summaries ISDA Book of Extended summaries ISDA

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International Conference on Reimagining Rainfed Agro-ecosystems: Challenges & Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad T5-21P-1166 Comparative Study on Spatial and Temporal Changes in Urban Settlements and Land Surface Temperature in Hyderabad over 1990 to 2020 Fawaz Parapurath*, B. S. Rath, Deepti Verma, N. Manikandan and A.V.M. Subba Rao Odisha University of Agriculture and Technology, Bhubaneswar – 751003, Odisha, India ICAR-Central Research Institute for Dryland Agriculture, Hyderabad – 500059, Telangana, India * faazzz96here@gmail.com Land Surface Temperature (LST) is a crucial urban and regional meteorological component that affects how the ground surface interacts with the atmosphere. LST is considered a significant parameter in many scientific research studies, including global climate change studies, agricultural processes, and various biogeochemical cycles. The dynamics of LST and Land Use Land Cover (LULC), are important markers of forest fragmentation, industrialization, and urbanization. Unplanned urbanization results in LULC pattern alterations on a broad scale, which results in ecosystem damage and has a negative impact on public health, particularly in developing nations. In this work, we used Landsat 5 and 8 imageries to analyze the LST variations in Hyderabad from 1990 to 2020. The specific objectives of this study were to compute the change in LULC and LST during the study period and to establish the relationship between land surface temperature and urban settlements. Methodology Landsat 5 TM LULC Map Landsat 8 OLI LULC change detection analysis Spectral Radiance Model TM Band Split Window Algorithm (TIRS) Band 10 & Band 11 LST Map Impact of LULC change on LST LST Map Emerging approaches (RS, AI, ML, Drones etc) for crop management &assessment 746 | Page

International Conference on Reimagining Rainfed Agro-ecosystems: Challenges & Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad The methodological framework adopted for analyzing variation in land surface temperature distribution in response to land use/land cover change using the Split window algorithm (TIRS, Landsat-8) and Spectral radiance model (TM, Landsat-5) is represented in the figure above. Results LULC change detection: The change detection study reveals that Built-up area/Urban settlements have increased by 10 sq. km and Vegetation land decreased by 7.5 sq. km with no considerable land use change in Water bodies from 1990 to 2020. LST change detection: The year-wise LST conveys that, the average land surface temperature has increased by 4.5 0 C from 1990 to 2020. During the time period from 2010 to 2020, LST increased by a maximum rate (3.2 0 C). Spatial and Temporal distribution of LST in Hyderabad over 1990-2020 Relationship between LST and Urban Settlements: The time series analysis of LST and urban settlements revealed that LST increases correspondingly with the increase in settlements since there is a strong correlation (r = 0.94). 747 | Page Emerging approaches (RS, AI, ML, Drones etc) for crop management &assessment

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

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

The methodological framework adopted for analyzing variation in land surface temperature<br />

distribution in response to land use/land cover change using the Split window algorithm (TIRS,<br />

Landsat-8) and Spectral radiance model (TM, Landsat-5) is represented in the figure above.<br />

Results<br />

LULC change detection: The change detection study reveals that Built-up area/Urban<br />

settlements have increased by 10 sq. km and Vegetation land decreased by 7.5 sq. km with no<br />

considerable land use change in Water bodies from 1990 to 2020.<br />

LST change detection: The year-wise LST conveys that, the average land surface temperature<br />

has increased by 4.5 0 C from 1990 to 2020. During the time period from 2010 to 2020, LST<br />

increased by a maximum rate (3.2 0 C).<br />

Spatial and Temporal distribution <strong>of</strong> LST in Hyderabad over 1990-2020<br />

Relationship between LST and Urban Settlements: The time series analysis <strong>of</strong> LST and urban<br />

settlements revealed that LST increases correspondingly with the increase in settlements since<br />

there is a strong correlation (r = 0.94).<br />

747 | Page Emerging approaches (RS, AI, ML, Drones etc) for crop management &assessment

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