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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
URLhttps://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.
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