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Evaluating the change and trend of construction land in Changsha City based GeoSOS-FLUS model and machine learning methods – Nature

Transforming Changsha: Unveiling Construction Land Trends Through GeoSOS-FLUS and Machine Learning

by Caleb Wilson

Investigating spatio-temporal variations and contributing factors of land use-related carbon emissions in the Beijing-Tianjin-Hebei Region, China – Nature.com

Investigating spatio-temporal variations and contributing factors of land use-related carbon emissions in the Beijing-Tianjin-Hebei Region, China – Nature.com

by Miles Cooper

Analysis on spatio-temporal evolution and influencing factors of ecosystem service in the Changsha-Zhuzhou-Xiangtan urban agglomeration, China – Frontiers

Analysis on spatio-temporal evolution and influencing factors of ecosystem service in the Changsha-Zhuzhou-Xiangtan urban agglomeration, China – Frontiers

by Miles Cooper

February 15, 2025

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