Results 51 to 60 of about 223 (107)
Urban expansion in India’s metropolitan regions has led to significant alterations in land surface composition, which directly affect local thermal environments.
Arpit Gupta +3 more
semanticscholar +1 more source
Research aimed at finding the effective remote sensing indices for monitoring urban development in the case of Can Tho city in 2005, 2014 and 2023. Study applied the threshold method and compared the effectiveness of classification of urban and non-urban
P. K. Diem, N. K. Diem, T. Hong
semanticscholar +1 more source
Exploring the spatial non-stationary relationships between land surface temperature (LST) and their driving environmental factors is important for selecting appropriate strategies to mitigate and regulate the thermal environment of watersheds. To examine
Getahun Bekele Debele +1 more
doaj +1 more source
Across India, medium-sized towns frequently experience unplanned urban growth and the ensuing environmental problems. In addition to notable reductions in water bodies and vegetation cover, unchecked, rapid urbanisation has led to a marked expansion of ...
Dr. M. Murali, T. K. Prasad
semanticscholar +1 more source
Rapid urbanization is reshaping land surface conditions and local thermal environments in fast-growing coastal cities. This study examines how Land Use Land Cover (LULC) transformation influenced seasonal land surface temperature (LST) dynamics in ...
Shaikh Mahfuz Alam +4 more
semanticscholar +1 more source
This study aimed to analyze the spatiotemporal dynamics of land cover in Cianjur Regency, Indonesia, before (2021), during (2022), and after (2023) the 2022 earthquake, using multitemporal Sentinel-2 imagery and a Random Forest classifier implemented in ...
Laela Indawati +3 more
semanticscholar +1 more source
Urban Heat Island (UHI) is among the most significant aspects of rapid urbanization and unplanned land use and development in developing cities. In the present study, spatio-temporal variation of intensity of Urban Heat Island (UHI) and its correlation ...
Vikas Gautam
semanticscholar +1 more source
Given the climate change challenges, Uttarakhand has become crucial for examining land dynamics and regional climate interactions. This study employed a Support Vector Machine (SVM) for land use and land cover mapping for 2024, achieving 94% accuracy and
Waiza Khalid +2 more
doaj +1 more source
The growth of urban areas has a significant impact on land use by replacing areas of vegetation with residential and commercial areas and their related infrastructure; this escalates the land surface temperature (LST).
G. F. Ibrahim
semanticscholar +1 more source
Infographic summarizing deep learning models, land surface temperature prediction, urban heat island analysis, key findings, and study area in Peshawar District.
Basir Ullah +7 more
semanticscholar +1 more source

