Monitoring the dynamics of land use and land cover, and their impact on seasonal land surface temperature in the Upper Awash Basin, Central Ethiopia

Deleted Journal, Journal Year: 2025, Volume and Issue: 7(4)

Published: April 9, 2025

Language: Английский

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Measuring the efficiency and intensity of the cooling impact of urban parks in Riyadh, Saudi Arabia: Seasonal analysis and proposed approach to the parks cooling direction index

Applied Geography, Journal Year: 2025, Volume and Issue: 179, P. 103619 - 103619

Published: April 15, 2025

Language: Английский

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The Landscape Pattern Characteristics of Urban Built-up Land Significantly Influence Urban Thermal Comfort: Evidence from Large Cities in China

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106402 - 106402

Published: April 1, 2025

Language: Английский

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Information-Guided Diffusion Model for Downscaling Land Surface Temperature from SDGSAT-1 Remote Sensing Images

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(10), P. 1669 - 1669

Published: May 9, 2025

Land Surface Temperature (LST) is a parameter retrieved through the thermal infrared band of remote sensing satellites, and it crucial in various climate environmental models. Compared to other multispectral bands, bands have lower spatial resolution, which limits their practical applications. Taking Heihe River Basin China as case study, this research focuses on LST data from SDGSAT-1 using three-channel split-window algorithm. In paper, we propose novel approach, Information-Guided Diffusion Model (IGDM), apply downscale image. The results indicate that downscaling accuracy image proposed IGDM model outperforms Linear, Enhanced Deep Super-Resolution Network (EDSR), Convolutional Neural (SRCNN), Discrete Cosine Transform Local Spatial Attention (DCTLSA), Denoising Probabilistic Models (DDPM). Specifically, RMSE reduced by 55.16%, 51.29%, 48.39%, 52.88%, 17.18%. By incorporating auxiliary information, particularly when NDVI NDWI inputs, performance significantly improved. DDPM, decreased 0.666 0.574, MAE dropped 0.517 0.376, PSNR increased 38.55 40.27. Overall, highlight effectiveness information-guided diffusion generating high-resolution data. Additionally, study reveals feature impact different information variations features across regions temperature ranges.

Language: Английский

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Spatiotemporal analysis of drought in the Sahelian region of northeastern Nigeria, sub-Saharan Africa

Theoretical and Applied Climatology, Journal Year: 2025, Volume and Issue: 156(6)

Published: May 9, 2025

Language: Английский

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