Driving Force Analysis of Natural Wetland in Northeast Plain Based on SSA-XGBoost Model

Globally, natural wetlands have suffered severe ecological degradation (vegetation, soil, and biotic community) due to multiple factors. Understanding the spatiotemporal dynamics and driving forces of natural wetlands is the key to natural wetlands’ protection and regional restoration. In this study...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 23; H. 17; S. 7513
Hauptverfasser:	Liu, Hanlin, Lin, Nan, Zhang, Honghong, Liu, Yongji, Bai, Chenzhao, Sun, Duo, Feng, Jiali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 29.08.2023 MDPI
Schlagworte:	Algorithms Biodiversity Climate change Datasets Decision trees Decision-making driving force Ecosystems GDP Geographic information systems Gross Domestic Product Land use Machine learning Northeast China Plain Precipitation Precipitation (Meteorology) Remote sensing Rivers spatiotemporal evolution SSA-XGBoost Trends Wetlands China
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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