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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhiyu Zhang Yong Wang Guoqing Sun Wenjian Ni Wenli Huang Lixin Zhang |
| Copyright Year | 2011 |
| Description | Author affiliation: State Key Laboratory of Remote Sensing Science, Jointly sponsored by Beijing Normal University, China (Wenjian Ni) || Department of Geography, University of Maryland, College Park, 20742, USA (Guoqing Sun; Wenli Huang) || School of Geography and Remote Sensing, Beijing Normal University, China 100875 (Zhiyu Zhang; Lixin Zhang) || Department of Geography, East Carolina University, Greenville, NC 27858, USA (Yong Wang) |
| Abstract | Former NASA's Deformation, Ecosystem Structure, and Dynamics of Ice (DESDynI) satellite mission was to provide regional or global biomass carbon stock at regional, national, and global scales. Carbon Monitoring System UAVSAR and LVIS data acquired in August 2009 were used in this paper. In this paper we used Cloude's target decomposition theorem to decompose traditional polarimetric SAR data, and then to estimate biomass. By certification of LVIS derived biomass, the results show that only decomposed scattering elements are not enough for biomass retrieval, but they could improve the accuracy of biomass retrieval. The standard error for only polmethod is 66.3Mg/ha, but for both polametric and decomposed data is only 64.1Mg/ha. |
| Starting Page | 1942 |
| Ending Page | 1945 |
| File Size | 433009 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457710032 |
| ISSN | 21537003 |
| e-ISBN | 9781457710056 |
| DOI | 10.1109/IGARSS.2011.6049506 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-24 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Biomass Scattering Backscatter Orbits Educational institutions Accuracy Biomass Retrieval UAVSAR LVIS Target Decompositon |
| Content Type | Text |
| Resource Type | Article |
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