A novel geospatial machine learning approach to quantify non-linear effects of land use/land cover change (LULCC) on carbon dynamics

Land Use and Land Cover Change (LULCC) introduces considerable uncertainties in its relationship with carbon emissions, posing challenges to nature-based climate mitigation. The effective establishment and protection of carbon sinks through land use management lack clarity. To address this challenge...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Jing Kang, Bailing Zhang, Anrong Dang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2024-04-01
Schriftenreihe:	International Journal of Applied Earth Observations and Geoinformation
Schlagworte:	GEE Sentinel-2 Top-down CO2 observations Net carbon exchange Land use/land cover Machine learning
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S1569843224000669
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