Estimating forest aboveground biomass using temporal features extracted from multiple satellite data products and ensemble machine learning algorithm

Many studies have attempted to estimate forest aboveground biomass (AGB) from satellite data accurately. Temporal information may be beneficial to AGB estimation but remains underexplored. Thus, this paper aims to investigate whether and how temporal features extracted from multiple satellite-derive...

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Veröffentlicht in:	Geocarto international 2023-12, Vol.38 (1)
Hauptverfasser:	Zhang, Yuzhen, Liu, Jingjing
Format:	Artikel
Sprache:	eng
Schlagworte:	forest aboveground biomass MODIS data phenology Time-series data XGBoost
Online-Zugang:	Volltext
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