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Relationship between urban spatial form and seasonal land surface temperature under different grid scales
Y Chen, J Yang, W Yu, J Ren, X ** day-night urban heat island and its driving factors using Sentinel/MODIS data and Google Earth Engine. Case study: Greater Cairo, Egypt
RM Abou Samra - Urban Climate, 2023 - Elsevier
Urban heat islands (UHI) represent one of the substantial human-induced challenges
endangering urban livelihoods. UHI and climate change have significant interactions …
endangering urban livelihoods. UHI and climate change have significant interactions …
Urban growth, changing relationship between biophysical factors and surface thermal characteristics: A geospatial analysis of Agra city, India
KK Gavsker - Sustainable Cities and Society, 2023 - Elsevier
The kind of urbanization occurred in the last few decades has caused a massive reduction of
urban green space raising the land surface temperature, drastic land use and land cover …
urban green space raising the land surface temperature, drastic land use and land cover …
Enhancing the city-level thermal environment through the strategic utilization of urban green spaces employing geospatial techniques
Smart urban planning needs to have a multicriteria-based approach to prevent the
deteriorating local thermal climate. Maximizing the cooling potential using the available grey …
deteriorating local thermal climate. Maximizing the cooling potential using the available grey …
[HTML][HTML] Exploring the driving factors of remote sensing ecological index changes from the perspective of geospatial differentiation: a case study of the Weihe River …
K Zhang, R Feng, Z Zhang, C Deng, H Zhang… - International Journal of …, 2022 - mdpi.com
Using the Google Earth Engine (GEE) platform, Moderate-resolution image
spectroradiometer (MODIS) data of the Weihe River Basin from 2001 to 2021 were acquired …
spectroradiometer (MODIS) data of the Weihe River Basin from 2001 to 2021 were acquired …
Assessing local climate change by spatiotemporal seasonal LST and six land indices, and their interrelationships with SUHI and hot–spot dynamics: a case study of …
LST has been fluctuating more quickly, resulting in the degradation of the climate and
human life on a local–global scale. The main aim of this study is to examine SUHI formation …
human life on a local–global scale. The main aim of this study is to examine SUHI formation …
Impact assessment of land-use alteration on land surface temperature in Kabul using machine learning algorithm
This research evaluates the impact of LULC changes on LST of Kabul City, Afghanistan
using Landsat data and Machine Learning Algorithm. The Cellular Automata Markov (CA …
using Landsat data and Machine Learning Algorithm. The Cellular Automata Markov (CA …