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Multi-Resolution Mapping and Accuracy Assessment of Forest Carbon Density by Combining Image and Plot Data from a Nested and Clustering Sampling Design

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成果类型:
期刊论文
作者:
Yan, Enping;Lin, Hui*;Wang, Guangxing*;Sun, Hua
通讯作者:
Lin, Hui;Wang, Guangxing
作者机构:
[Wang, Guangxing; Lin, Hui; Wang, GX; Yan, Enping; Sun, Hua] Cent South Univ Forestry & Technol, Res Ctr Forest Remote Sensing & Informat Engn, Changsha 410004, Peoples R China.
[Wang, Guangxing] Southern Illinois Univ, Dept Geog, Carbondale, IL 62901 USA.
通讯机构:
[Lin, H; Wang, GX] C
[Wang, Guangxing] S
Cent South Univ Forestry & Technol, Res Ctr Forest Remote Sensing & Informat Engn, Changsha 410004, Peoples R China.
Southern Illinois Univ, Dept Geog, Carbondale, IL 62901 USA.
语种:
英文
关键词:
co-simulation;forest carbon density;multi-resolution mapping;sampling design;remote sensing;up-scaling
期刊:
Remote Sensing
ISSN:
2072-4292
年:
2016
卷:
8
期:
7
页码:
571
基金类别:
Ministry of Science and Technology, P.R. ChinaMinistry of Science and Technology, China [2012AA102001]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31370639]; China Postdoctoral Science FoundationChina Postdoctoral Science Foundation [2014M562147]; Hunan Province Science and Technology Plan Project [2015RS4048]; Central South University of Forestry and Technology [0990]
机构署名:
本校为第一且通讯机构
院系归属:
林学院
摘要:
Combining sample plot and image data has been widely used to map forest carbon density at local, regional, national and global scales. When mapping is conducted using multiple spatial resolution images at different scales, field observations have to be collected at the corresponding resolutions to match image values in pixel sizes. Given a study area, however, to save time and cost, field observations are often collected from sample plots having a fixed size. This will lead to inconsistency of spatial resolutions between sample plots and image pixels and impede the mapping and product quality ...

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