Assessing forest cover changes and fragmentation in the Himalayan temperate region: implications for forest conservation and management

Journal of Forestry Research, Journal Year: 2024, Volume and Issue: 35(1)

Published: April 27, 2024

Language: Английский

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Resolving controversies surrounding carbon sinks from carbonate weathering

Science China Earth Sciences, Journal Year: 2024, Volume and Issue: 67(9), P. 2705 - 2717

Published: Aug. 8, 2024

Language: Английский

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Rural depopulation has reshaped the plant diversity distribution pattern in China

Resources Conservation and Recycling, Journal Year: 2024, Volume and Issue: 215, P. 108054 - 108054

Published: Dec. 12, 2024

Language: Английский

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Characterizing land use/land cover change dynamics by an enhanced random forest machine learning model: a Google Earth Engine implementation

Environmental Sciences Europe, Journal Year: 2024, Volume and Issue: 36(1)

Published: April 24, 2024

Abstract Land use and land cover (LULC) analysis is crucial for understanding societal development assessing changes during the Anthropocene era. Conventional LULC mapping faces challenges in capturing under cloud limited ground truth data. To enhance accuracy comprehensiveness of descriptions changes, this investigation employed a combination advanced techniques. Specifically, multitemporal 30 m resolution Landsat-8 satellite imagery was utilized, addition to computing capabilities Google Earth Engine (GEE) platform. Additionally, study incorporated random forest (RF) algorithm. This aimed generate continuous maps 2014 2020 Shrirampur area Maharashtra, India. A novel multiple composite RF approach based on classification utilized final utilizing RF-50 RF-100 tree models. Both models seven input bands (B1 B7) as dataset classification. By incorporating these bands, were able influence spectral information captured by each band classify categories accurately. The inclusion enhanced discrimination classifiers, increasing assessment classes. indicated that exhibited higher training validation/testing (0.99 0.79/0.80, respectively). further revealed agricultural land, built-up water bodies have changed adequately undergone substantial variation among classes area. Overall, research provides insights into application machine learning (ML) emphasizes importance selecting optimal enhancing reliability GEE different present enabled interpretation pixel-level interactions while improving image suggested best through identification

Language: Английский

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Spatial distribution of drinking, irrigation water quality, and health risk indices of high-altitude lakes

Physics and Chemistry of the Earth Parts A/B/C, Journal Year: 2024, Volume and Issue: 134, P. 103597 - 103597

Published: April 12, 2024

Language: Английский

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Unraveling the ecological threads: How invasive alien plants influence soil carbon dynamics

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 356, P. 120556 - 120556

Published: March 26, 2024

Language: Английский

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The control of karst rocky desertification has enhanced the carbon sequestration capacity of the ecosystem in southern China

Global and Planetary Change, Journal Year: 2024, Volume and Issue: unknown, P. 104602 - 104602

Published: Oct. 1, 2024

Language: Английский

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A Comprehensive Study on Optimizing Reservoir Potential: Advanced Geophysical Log Analysis of Zamzama Gas Field, Southern Indus Basin, Pakistan

Physics and Chemistry of the Earth Parts A/B/C, Journal Year: 2024, Volume and Issue: 135, P. 103640 - 103640

Published: May 20, 2024

Language: Английский

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Spatial distribution of potentially toxic elements pollution and ecotoxicological risk of sediments in the high-altitude lakes ecosystem

Physics and Chemistry of the Earth Parts A/B/C, Journal Year: 2024, Volume and Issue: 135, P. 103655 - 103655

Published: June 5, 2024

Language: Английский

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Unlocking soil revival: the role of sulfate-reducing bacteria in mitigating heavy metal contamination

Environmental Geochemistry and Health, Journal Year: 2024, Volume and Issue: 46(10)

Published: Sept. 6, 2024

Language: Английский

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