Use Remote Sensing and Machine Learning to Study the Changes of Broad-Leaved Forest Biomass and Their Climate Driving Forces in Nature Reserves of Northern Subtropics

Forest is the largest vegetation carbon pool in the global terrestrial ecosystem. The spatial distribution and change of forest biomass are of importance to reveal the surface spatial variation and driving factors, to analyze and evaluate forest productivity, and to evaluate ecological function of f...

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Detaylı Bibliyografya

Asıl Yazarlar:	Zhibin Sun, Wenqi Qian, Qingfeng Huang, Haiyan Lv, Dagui Yu, Qiangxin Ou, Haomiao Lu, Xuehai Tang
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	MDPI AG 2022-02-01
Seri Bilgileri:	Remote Sensing
Konular:	broad-leaf forest forest biomass machine learning remote sensing retrieval climatic factors
Online Erişim:	https://www.mdpi.com/2072-4292/14/5/1066
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