Urbanization significantly impacts the long-term and inner-outer changes in urban vegetation phenology

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106323 - 106323

Published: March 1, 2025

Language: Английский

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The spatial and temporal distribution of freeze–thaw characteristics of near-surface soil in the Northeast of China and its influencing factors

CATENA, Journal Year: 2024, Volume and Issue: 249, P. 108644 - 108644

Published: Dec. 21, 2024

Language: Английский

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Environmentally Induced Snow Transmittance Variations in the Photosynthetic Spectral Domain: Photobiological Implications for Subnivean Vegetation under Climate Warming Conditions

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(5), P. 927 - 927

Published: March 6, 2024

Variations in the productivity of subnivean vegetation can substantially affect ecology regions more susceptible to increasing warming levels and lead significant feedback effects on global climate. Due its importance, this topic is at center a broad scope interdisciplinary studies supported by field remote sensing observations. However, current knowledge about environmental factors affecting penetration photosynthetically active radiation (PAR) through snow still constrained paucity transmittance data. In work, we aim further understanding these interconnected processes. We conduct systematic investigation independent combined changes key nivological characteristics, namely thickness, saturation, density grain size, photosynthetic spectral domain. Our carried out controlled silico (computational) experiments measured radiometric Its outcomes unveil fundamental quantitative qualitative trends related role played characteristics quality transmitted PAR, which quantified terms red blue (R/B), far-red (R/FR) (B/FR) ratios. These include increases R/B ratio as well decreases R/FR B/FR ratios following thickness reductions or size increases, with opposite variations being observed for saturation increases. Accordingly, pairing our findings situ remotely collected information contributes cement scientific foundation required effective assessment cause-effect loops linking accentuated greening accelerated rates cover recession.

Language: Английский

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Monitoring Cold-Region Water Cycles Using Remote Sensing Big Data

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(24), P. 4752 - 4752

Published: Dec. 20, 2024

In recent years, under the backdrop of global warming and intensifying extreme climates, water cycle processes in cold regions have been undergoing profound changes [...]

Language: Английский

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