The Impact of Urban Spatial Forms on Marine Cooling Effects in Mainland and Island Regions: A Case Study of Xiamen, China

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106210 - 106210

Опубликована: Фев. 1, 2025

Язык: Английский

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Prediction of land surface temperature using spectral indices, air pollutants, and urbanization parameters for Hyderabad city of India using six machine learning approaches

Remote Sensing Applications Society and Environment, Год журнала: 2024, Номер 35, С. 101265 - 101265

Опубликована: Июнь 2, 2024

Язык: Английский

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How can urban expansion and ecological preservation be balanced? A simulation of the spatial dynamics of production-living-ecological spaces in the Huaihe River Eco-Economic Belt

Ecological Indicators, Год журнала: 2025, Номер 171, С. 113192 - 113192

Опубликована: Фев. 1, 2025

Язык: Английский

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Unveiling the thermal impact of land cover transformations in Khuzestan province through MODIS satellite remote sensing products

Paddy and Water Environment, Год журнала: 2024, Номер 22(4), С. 503 - 520

Опубликована: Июнь 5, 2024

Язык: Английский

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Robust drivers of urban land surface temperature dynamics across diverse landscape characters: An augmented systematic literature review

Ecological Indicators, Год журнала: 2024, Номер 163, С. 112056 - 112056

Опубликована: Май 11, 2024

To effectively develop strategies that address the escalating surface temperatures of cities in diverse landscape characters, various and sometimes contradicting drivers are presented literature. A synthesis findings observations this aspect is lacking. Therefore, main tenet our study was to identify robust metrics (LMs) drive dynamics urban land temperature (ULST) analyse extent which character influences their impact. We adopted a systematic literature review protocol, augmented with different geospatial datasets (at global scale) applied mixed approaches for analyses. total 101 relevant articles were identified, although skewed towards Asia; methods utilised analysing LMs – ULST relationship; about 432 unique revealed only 11 % these confirmed be robust. Landscape elements found exert slight moderate significant influence on − relationship reported This further strengthened proposition need consider understanding environments. end, we developed an interactive scheme synthesize reveal characters. Our FAIRly-open serves as call scientific community stakeholders engage interact may help rethink (current) mitigation strategies. Also, combining expert local spatial knowledge can offer practical foundation addressing ULSTs across landscapes.

Язык: Английский

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Analysis of Urban Heat Islands and the Effects of Land Use Changes and Its Synoptic Patterns (Case Study of Ramsar City)

Advances in Meteorology, Год журнала: 2025, Номер 2025(1)

Опубликована: Янв. 1, 2025

This study aimed to evaluate the effects of urban land use changes on surface temperature (LST) in Ramsar utilizing a comprehensive methodology that employed Landsat imagery. The results indicated built‐up index (BI) and area (BU) indices experienced significant growth, increasing by ~157.5% 38.91%, respectively. In contrast, normalized difference water (NDWI) exhibited negative trend, decreasing ~61.2%. base year, man‐made accounted for ~20% city’s area. By 2022, this proportion had risen ~76%, reflecting an impressive growth rate 230.4%. increase demonstrated strong positive correlation with BI BU at confidence levels 0.01 0.05. Furthermore, LST rose from ~35.55°C year ~38.91°C 2022. trend relationship hot season temperature, yielding coefficient 0.760 error level trends were consistent across various areas. Geographically weighted regression (GWR) analysis yielded R 2 value 0.7835 adjusted 0.7712. multivariate four indices—temperature station, NDWI, BI, urban—were associated 95% level. Additionally, findings logistic involving six indices—normalized vegetation (NDVI), BU, gardens, human‐made areas—showed relationships 0.05 0.01. Synoptic during period revealed three types high‐pressure systems originating subtropical high over Iran influence Ramsar. These include Saudi Arabian system, Iranian pattern, weak ridge pattern Iran. While these share common characteristic being high‐altitude patterns, their origins differ. Heat islands tend form under stable atmospheric conditions lower airflow speeds, enhancing likelihood occurrence. climate region, combined expansion areas subsidence warmer season, have contributed intensity spread City. underscores necessity innovative effective multifaceted approaches predict understand phenomenon, which can assist planning efforts

Язык: Английский

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The Role of Urban Landscape on Land Surface Temperature: The Case of Muratpaşa, Antalya

Land, Год журнала: 2025, Номер 14(4), С. 663 - 663

Опубликована: Март 21, 2025

The role of landscape configuration in urban heat island effects is crucial for sustainable planning. This study examines the impact land-use changes on land surface temperature (LST) Muratpaşa District Antalya from 1984 to 2024. Data 1984, 1989, 1994, 1999, 2004, 2009, 2014, 2019, and 2024 were analyzed at five-year intervals. Land-use maps LST data derived thermal infrared bands Landsat-5 TM Landsat-8 OLI-TIRS. values, categorized into seven groups, calculated by converting radiance values spectral radiation Kelvin temperatures. classes, including green land, agricultural constructive water bare identified using interactive supervised classification. Landscape patterns ten indices within framework ecology. ArcGIS 10.8.1 Fragstats 4.2 software used analyses. Findings reveal a significant increase temperatures over four decades, driven expansion. Increased impervious surfaces created more high zones, while reduced spaces intensified effect. A strong correlation between was identified, providing insights management climate change adaptation.

Язык: Английский

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Long-term global trends and influencing factors of surface urban cool and heat islands

International Journal of Digital Earth, Год журнала: 2025, Номер 18(1)

Опубликована: Апрель 27, 2025

Язык: Английский

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Landcover-specific calibration of the optical trapezoid model (OPTRAM) for soil moisture monitoring in the Central Valley, California

Frontiers in Remote Sensing, Год журнала: 2025, Номер 6

Опубликована: Май 16, 2025

The Optical TRApezoid Model (OPTRAM) has been extensively utilized to map high-resolution surface soil moisture (top 0–5 cm) using reflectance observations. OPTRAM parameters, the intercept and slope of dry wet edges, are typically calibrated by analyzing data cloud created from Normalized Difference Vegetation Index (NDVI) Shortwave-infrared Transformed Reflectance (STR) in a specified area interest. One set parameters is commonly obtained for entire study regardless its landcover types. In this study, we explored what extent landcover-specific calibration can improve accuracy. analysis, used Sentinel-2 (S2) Cropland Data Layer (CDL) datasets via Google Earth Engine generate 20-m resolution maps California’s Central Valley (CV). We evaluated spatial temporal accuracy CV-wide (OPTRAM-CV) (OPTRAM-LS) against situ observations SMAP-HydroBlocks (SMAP-HB), well-validated 30-m satellite-based dataset. Our results indicate that OPTRAM-LS significantly improved estimates compared OPTRAM-CV. average root mean square error was 0.09 0.05 (m 3 m −3 ) OPTRAM-CV OPTRAM-LS, respectively. showed less than SMAP-HB but yielded higher SMAP-HB.

Язык: Английский

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Influence Mechanism of Land Use/Cover Change on Surface Urban Heat Islands and Urban Energy Consumption in Severely Cold Regions

Land, Год журнала: 2025, Номер 14(6), С. 1162 - 1162

Опубликована: Май 28, 2025

Intensifying global warming has disrupted natural ecosystems and altered energy consumption patterns. Understanding the impact of land use cover change on surface urban heat islands (SUHIs) is critical for sustainable development. In this study, normalized difference vegetation index (NDVI), modified water (MNDWI), built-up (NDBI), SUHI data were derived using GIS remote sensing (RS) technology, quantitative analysis was performed in combination with data. The results revealed following key findings. summer, NDVI exhibited a significant negative correlation total building (r = −0.52), whereas NDBI showed positive correlations 0.72 r 0.67, respectively). Moreover, served as mediating role between use/cover electricity consumption, direct effect accounting 36% indirect 64% effect. contrast, significantly positively correlated winter 0.53). Spline regression further that every one-unit increase corresponded to an approximately 22 million kWh summer EC 1.16 billion EC.

Язык: Английский

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