The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 955, P. 176843 - 176843
Published: Oct. 10, 2024
Language: Английский
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 955, P. 176843 - 176843
Published: Oct. 10, 2024
Language: Английский
Remote Sensing, Journal Year: 2024, Volume and Issue: 16(9), P. 1500 - 1500
Published: April 24, 2024
This study addresses a crucial gap in understanding the impact of urban morphologies on canopy heat islands (CUHI) effect. The selection reference stations lacks unified standard, and their surface air temperature (SAT) sequences are also inevitably influenced by urbanization. However, synchronous observational data from relocated meteorological could provide high-quality sample for studying CUHI. Utilizing remote sensing techniques, findings this paper revealed that observation environment after relocation exhibited remarkable representativeness, with accurately reflecting local climatic background. differences synchronized characterize CUHI intensity (CUHII). Among various factors, land use parameters landscape played particularly significant roles. Furthermore, fitting performance random forest (RF) model both training testing was significantly superior to linear support vector regression (SVR) model. Additionally, influence circulation not be overlooked. mechanisms which affect CUHII under different backgrounds deserve further investigation.
Language: Английский
Citations
1Heliyon, Journal Year: 2024, Volume and Issue: 10(19), P. e38787 - e38787
Published: Oct. 1, 2024
Language: Английский
Citations
1Building and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 112511 - 112511
Published: Dec. 1, 2024
Language: Английский
Citations
1Journal of Remote Sensing, Journal Year: 2024, Volume and Issue: 4
Published: Jan. 1, 2024
The continuous retrieval of clear-sky land surface temperature (LST) holds paramount importance in monitoring vegetation and assessing water stress conditions. Nonetheless, the extensive cloud cover results a widespread lack LST data, posing challenges accurately forecasting regions characterized by diverse types complex terrains. Therefore, this paper proposes synthetic aperture radar (SAR)- digital elevation model (DEM)-integrated reconstruction (SDX-LST) to generate realistic high-spatial-resolution (30 m) data. To assess practicality robustness SDX-LST model, selects study areas Loess Plateau (LP), Qinghai-Tibet Plateau, Northeast China Plain, Nanling Mountains, North Plain China, Desert Rock, Nevada America, spanning wide range longitude latitude having obvious differences topography, landforms, vegetation. analysis different spatial location distributions, types, multidate time distributions throughout year indicate that achieves excellent performance high stability (with mean absolute error lower than 2K). predictions demonstrate commendable level consistency with ERA5-hourly product situ We conclude integration SAR DEM within enables precise for various intricate quantitatively analyzes effects on introduces novel insights exploring SAR-based LST.
Language: Английский
Citations
0Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: May 21, 2024
Language: Английский
Citations
0Published: Jan. 1, 2024
Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI
Language: Английский
Citations
0Published: Jan. 1, 2024
Rapid urbanization attributed to population growth is affecting built environment thermal and landscape dynamics. Using Landsat satellite datasets, this study investigated the complex interplay between urban Land Cover (LC) modification, fluctuation in Surface Temperature (LST) severity of Urban Heat Island (UHI) from 1990 2020 Peshawar city, Pakistan. Thermal bands were used calculate LST UHI using Field Variance Index (UTFVI). Furthermore, through Cellular Automata (CA), Logistic Regression (LR), Artificial Neural Network (ANN), future predictions on characteristics associated with land use changes made. The results showed that areas expanded by ~25% 2020, while ~10% decrease occurred vegetation. city will expand ~45% ~56% 2035 2050, respectively. Notably, also demonstrated hot spots found warmest strongest (34.02 oC), followed barren (32.20 further predicted an increase (~55% ~82%) UTFVI (~62% ~83%) These findings provide useful insights for policy makers planners mitigate heat stress create a sustainable development effective policies greening.
Language: Английский
Citations
0Remote Sensing, Journal Year: 2024, Volume and Issue: 16(18), P. 3405 - 3405
Published: Sept. 13, 2024
The Olympic Games are a sporting event and catalyst for urban development in their host city. In this study, we utilized remote sensing GIS techniques to examine the impact of infrastructure on surface temperature areas. Using Landsat Series Collection 2 Tier 1 Level data cloud computing provided by Google Earth Engine (GEE), study examines effects various forms facility planning different historical moments location typologies, as follows: monocentric, polycentric, peripheric clustered ring. GEE code applies that occurred from Paris 2024 Montreal 1976. However, paper focuses specifically representative cases 2024, Tokyo 2020, Rio 2016, Beijing 2008, Sydney 2000, Barcelona 1992, Seoul 1988, is not only concerned with obtaining absolute land temperatures (LST), but rather relative influence mega-event infrastructures mitigating or increasing heat. As such, locally normalized (NLST) was purpose. some cities (Paris, Tokyo, Beijing, Barcelona), it has been determined resulted green spaces, creating “green spots” contribute lower-than-average temperatures. should be noted there significant variation within intensely built-up areas, such villages surrounding areas stadium, which can become “hotspots.” Therefore, important acknowledge typologies have varying impacts city heat islands, polycentric ring displaying effect. This research contributes method updated future adapted other mega-events utilizes widely available source specific context.
Language: Английский
Citations
0The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 955, P. 176843 - 176843
Published: Oct. 10, 2024
Language: Английский
Citations
0