全球智库信息集成服务系统(G2TT): Remote sensing image fusion at the segment level using a spatially-weighted approach: Applications for land cover spectral analysis and mapping

G2TT

来源类型	Peer-reviewed Article
规范类型	其他
	Remote sensing image fusion at the segment level using a spatially-weighted approach: Applications for land cover spectral analysis and mapping
	Brian JOHNSON
发表日期	2015-03
出版者	MDPI
出版年	2015
页码	172-184
语种	英语
概述	A new method was developed for mapping forest, agricultural, and urban land cover using remote sensing imagery. It is designed to better detect small land cover objects (e.g. small...
摘要	A new method was developed for mapping forest, agricultural, and urban land cover using remote sensing imagery. It is designed to better detect small land cover objects (e.g. small forest or agricultural patches) and monitor their change (e.g. fine-scale deforestation) using freely-available satellite imagery.
主题	Forests$Green Economy Pathways
区域	United States of America
URL	https://pub.iges.or.jp/pub/remote-sensing-image-fusion-segment-level
来源智库	Institute for Global Environmental Strategies (Japan)
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/310369
推荐引用方式 GB/T 7714	Brian JOHNSON. Remote sensing image fusion at the segment level using a spatially-weighted approach: Applications for land cover spectral analysis and mapping. 2015.