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[HTML][HTML] Machine learning and remote sensing integration for leveraging urban sustainability: A review and framework
Climate change and rapid urbanisation exacerbated multiple urban issues threatening
urban sustainability. Numerous studies integrated machine learning and remote sensing to …
urban sustainability. Numerous studies integrated machine learning and remote sensing to …
[HTML][HTML] Hyperlocal map** of urban air temperature using remote sensing and crowdsourced weather data
The impacts of climate change such as extreme heat waves are exacerbated in cities where
most of the world's population live. Quantifying urbanization impacts on ambient air …
most of the world's population live. Quantifying urbanization impacts on ambient air …
Comparative assessment of various machine learning‐based bias correction methods for numerical weather prediction model forecasts of extreme air temperatures in …
Forecasts of maximum and minimum air temperatures are essential to mitigate the damage
of extreme weather events such as heat waves and tropical nights. The Numerical Weather …
of extreme weather events such as heat waves and tropical nights. The Numerical Weather …
Comparison between convolutional neural networks and random forest for local climate zone classification in mega urban areas using Landsat images
Abstract The Local Climate Zone (LCZ) scheme is a classification system providing a
standardization framework to present the characteristics of urban forms and functions …
standardization framework to present the characteristics of urban forms and functions …
Application of MODIS land surface temperature data: a systematic literature review and analysis
TN Phan, M Kappas - Journal of Applied Remote Sensing, 2018 - spiedigitallibrary.org
The Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Terra and Aqua
satellites, which provides a very high temporal (four times per day) and spatial (1 km) …
satellites, which provides a very high temporal (four times per day) and spatial (1 km) …
[HTML][HTML] A high-resolution monitoring approach of canopy urban heat island using a random forest model and multi-platform observations
S Chen, Y Yang, F Deng, Y Zhang, D Liu… - Atmospheric …, 2022 - amt.copernicus.org
Due to rapid urbanization and intense human activities, the urban heat island (UHI) effect
has become a more concerning climatic and environmental issue. A high-spatial-resolution …
has become a more concerning climatic and environmental issue. A high-spatial-resolution …
A global dataset of daily near-surface air temperature at 1-km resolution (2003–2020)
Near-surface air temperature (Ta) is a key variable in global climate studies. A global
gridded dataset of daily maximum and minimum Ta (Tmax and Tmin) is particularly valuable …
gridded dataset of daily maximum and minimum Ta (Tmax and Tmin) is particularly valuable …
Generating a 2-km, all-sky, hourly land surface temperature product from Advanced Baseline Imager data
By characterizing high-frequency surface thermal dynamics at a medium spatial scale,
hourly land surface temperatures (LST), retrieved from geostationary satellite thermal …
hourly land surface temperatures (LST), retrieved from geostationary satellite thermal …
Long-term trends of surface and canopy layer urban heat island intensity in 272 cities in the mainland of China
The canopy layer urban heat island (CLUHI) and surface urban heat island (SUHI) refer to
higher canopy layer and land surface temperatures in urban areas than in rural areas …
higher canopy layer and land surface temperatures in urban areas than in rural areas …
A dataset of daily near-surface air temperature in China from 1979 to 2018
T a (Near-surface air temperature) is an important physical parameter that reflects climate
change. Although there are currently many methods to obtain the daily maximum (T max) …
change. Although there are currently many methods to obtain the daily maximum (T max) …