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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 |
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. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
ijgi-2015.pdf(1592KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
392a9eeccd41632ec4da(4KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | ![]() 浏览 |
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