干旱区生态环境知识资源中心(Arid): Mapping vegetation morphology types in a dry savanna ecosystem: integrating hierarchical object-based image analysis with Random Forest

Arid

DOI	10.1080/01431161.2013.876120
	Mapping vegetation morphology types in a dry savanna ecosystem: integrating hierarchical object-based image analysis with Random Forest
	Mishra, Niti B.; Crews, Kelley A.
通讯作者	Mishra, Niti B.
来源期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN	0143-1161
EISSN	1366-5901
出版年	2014
卷号	35 期号:3 页码:1175-1198
类型	Article
语种	英语
国家	USA
收录类别	SCI-E
WOS记录号	WOS:000331333300019
WOS关键词	REMOTE-SENSING IMAGERY ; LAND-COVER ; LANDSCAPE ECOLOGY ; SPATIAL-PATTERN ; ARID SAVANNA ; KALAHARI ; DYNAMICS ; CLASSIFICATION ; BOTSWANA ; FRAGMENTATION
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/182751
作者单位	Univ Texas Austin, Dept Geog & Environm, Austin, TX 78712 USA
推荐引用方式 GB/T 7714	Mishra, Niti B.,Crews, Kelley A.. Mapping vegetation morphology types in a dry savanna ecosystem: integrating hierarchical object-based image analysis with Random Forest[J],2014,35(3):1175-1198.
APA	Mishra, Niti B.,&Crews, Kelley A..(2014).Mapping vegetation morphology types in a dry savanna ecosystem: integrating hierarchical object-based image analysis with Random Forest.INTERNATIONAL JOURNAL OF REMOTE SENSING,35(3),1175-1198.
MLA	Mishra, Niti B.,et al."Mapping vegetation morphology types in a dry savanna ecosystem: integrating hierarchical object-based image analysis with Random Forest".INTERNATIONAL JOURNAL OF REMOTE SENSING 35.3(2014):1175-1198.