A global corrected SRTM DEM product for vegetated areas
文献类型：期刊论文
| 作者 | Zhao, Xiaoqian1; Su, Yanjun3; Hu, Tianyu; Chen, Linhai; Gao, Shang1; Wang, Rui1; Jin, Shichao1; Guo, Qinghua3
|
| 刊名 | REMOTE SENSING LETTERS
 |
| 出版日期 | 2018 |
| 卷号 | 9期号:4页码:393-402 |
| ISSN号 | 2150-704X |
| DOI | 10.1080/2150704X.2018.1425560 |
| 文献子类 | Article |
| 英文摘要 | It has been found that the Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) is systematically higher than the actual land surface in vegetated areas. This study developed a new globally corrected SRTM DEM through reducing its systematic bias in vegetated areas. Over 150, 000km(2) airborne light detection and ranging (LiDAR) data along with spaceborne LiDAR, global canopy height data, global canopy cover data and global land cover data were collected to correct the SRTM DEM. A linear regression based method was used to estimate the original SRTM DEM error and therefore correct the SRTM DEM data. The results show that the original SRTM DEM data is around 6m higher than the actual land surfaces on average across all vegetation types. Our corrected SRTM DEM data can significantly reduce the significant bias to near zero, and can also reduce the root-mean-square error by 1m. |
| 学科主题 | Remote Sensing ; Imaging Science & Photographic Technology |
| 出版地 | ABINGDON |
| 电子版国际标准刊号 | 2150-7058 |
| WOS关键词 | DIGITAL ELEVATION MODELS ; RADAR TOPOGRAPHY MISSION ; SHUTTLE RADAR ; ACCURACY ASSESSMENT ; HEIGHT ESTIMATION ; AIRBORNE LIDAR ; ASSOCIATIONS ; MAP |
| 语种 | 英语 |
| WOS记录号 | WOS:000424327400010 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 资助机构 | National Key R&D Program of China [2016YFC0500202] ; National Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41471363, 31741016, 41401505] ; National Science FoundationNational Science Foundation (NSF) [DBI 1356077] |
| 源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/20543]  |
| 专题 | 植被与环境变化国家重点实验室 |
| 作者单位 | 1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Hange, Beijing, Peoples R China 2.Univ Calif Merced, Sch Engn, Sierra Nevada Res Inst, Merced, CA USA 3.Univ Chinese Acad Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhao, Xiaoqian,Su, Yanjun,Hu, Tianyu,et al. A global corrected SRTM DEM product for vegetated areas[J]. REMOTE SENSING LETTERS,2018,9(4):393-402. |
| APA | Zhao, Xiaoqian.,Su, Yanjun.,Hu, Tianyu.,Chen, Linhai.,Gao, Shang.,...&Guo, Qinghua.(2018).A global corrected SRTM DEM product for vegetated areas.REMOTE SENSING LETTERS,9(4),393-402. |
| MLA | Zhao, Xiaoqian,et al."A global corrected SRTM DEM product for vegetated areas".REMOTE SENSING LETTERS 9.4(2018):393-402. |
入库方式： OAI收割
来源：植物研究所
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