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	Utility of hyperspectral compared to multispectral remote sensing data in estimating forest biomass and structure variables in Finnish boreal forest
	Halme, Eelis; Pellikka, Petri; Mottus, Matti
刊名	INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
	2019
卷号	83
关键词	Hyperspectral imaging Sentinel-2 Forest structure variables Machine learning Support vector regression Gaussian process regression
ISSN号	0303-2434
DOI	10.1016/j.jag.2019.101942
URL标识	查看原文
收录类别	SCIE
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4234563
专题	武汉大学
推荐引用方式 GB/T 7714	Halme, Eelis,Pellikka, Petri,Mottus, Matti. Utility of hyperspectral compared to multispectral remote sensing data in estimating forest biomass and structure variables in Finnish boreal forest[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2019,83.
APA	Halme, Eelis,Pellikka, Petri,&Mottus, Matti.(2019).Utility of hyperspectral compared to multispectral remote sensing data in estimating forest biomass and structure variables in Finnish boreal forest.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,83.
MLA	Halme, Eelis,et al."Utility of hyperspectral compared to multispectral remote sensing data in estimating forest biomass and structure variables in Finnish boreal forest".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 83(2019).

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