气候变化领域集成服务门户(CCPortal): NPP estimation using random forest and impact feature variable importance analysis

CCPortal

DOI	10.1080/14498596.2017.1367331
	NPP estimation using random forest and impact feature variable importance analysis
	Yu, Bo; Chen, Fang; Chen, Hanyue
发表日期	2019
ISSN	1449-8596
EISSN	1836-5655
卷号	64 期号:1 页码:173-192
英文摘要	In the context of climate change, large-scale net primary productivity (NPP) estimation and its impact feature variables are drawing more and more attention. Traditional process-based and empirical models are limited by their model structure and input var
关键词	Feature variable importance MODIS NPP calculation random forest remote sensing
学科领域	Geography, Physical;Remote Sensing
语种	英语
WOS记录号	WOS:000461796500011
来源期刊	JOURNAL OF SPATIAL SCIENCE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/80819
作者单位	Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Yu, Bo,Chen, Fang,Chen, Hanyue. NPP estimation using random forest and impact feature variable importance analysis[J],2019,64(1):173-192.
APA	Yu, Bo,Chen, Fang,&Chen, Hanyue.(2019).NPP estimation using random forest and impact feature variable importance analysis.JOURNAL OF SPATIAL SCIENCE,64(1),173-192.
MLA	Yu, Bo,et al."NPP estimation using random forest and impact feature variable importance analysis".JOURNAL OF SPATIAL SCIENCE 64.1(2019):173-192.