SRTM DEM Correction in Vegetated Mountain Areas through the Integration of Spaceborne LiDAR, Airborne LiDAR, and Optical Imagery
文献类型：期刊论文
| 作者 | Su, Yanjun1; Guo, Qinghua1 ; Ma, Qin1; Li, Wenkai3
|
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2015 |
| 卷号 | 7期号:9页码:11202-11225 |
| 关键词 | SRTM DEM LiDAR ICESat GLAS vegetation mountain canopy height canopy cover |
| DOI | 10.3390/rs70911202 |
| 文献子类 | Article |
| 英文摘要 | The Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) is one of the most complete and frequently used global-scale DEM products in various applications. However, previous studies have shown that the SRTM DEM is systematically higher than the actual land surface in vegetated mountain areas. The objective of this study is to propose a procedure to calibrate the SRTM DEM over large vegetated mountain areas. Firstly, we developed methods to estimate canopy cover from aerial imagery and tree height from multi-source datasets (i.e., field observations, airborne light detection and ranging (LiDAR) data, Geoscience Laser Altimeter System (GLAS) data, Landsat TM imagery, climate surfaces, and topographic data). Then, the airborne LiDAR derived DEM, covering similar to 5% of the study area, was used to evaluate the accuracy of the SRTM DEM. Finally, a regression model of the SRTM DEM error depending on tree height, canopy cover, and terrain slope was developed to calibrate the SRTM DEM. Our results show that the proposed procedure can significantly improve the accuracy of the SRTM DEM over vegetated mountain areas. The mean difference between the SRTM DEM and the LiDAR DEM decreased from 12.15 m to -0.82 m, and the standard deviation dropped by 2 m. |
| 学科主题 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
| 出版地 | BASEL |
| 电子版国际标准刊号 | 2072-4292 |
| WOS关键词 | DIGITAL ELEVATION MODELS ; FOREST BIOMASS ; C-BAND ; TOPOGRAPHY MISSION ; HEIGHT ESTIMATION ; ICESAT/GLAS DATA ; CANOPY HEIGHT ; SHUTTLE RADAR ; LANDSAT TM ; COVER |
| WOS研究方向 | Science Citation Index Expanded (SCI-EXPANDED) |
| 语种 | 英语 |
| WOS记录号 | WOS:000362511400010 |
| 出版者 | MDPI |
| 资助机构 | National Science Foundation of China [41471363, 31270563] |
| 源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/25582]  |
| 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 Change, Beijing 100093, Peoples R China 2.Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China 3.Univ Calif Merced, Sch Engn, Sierra Nevada Res Inst, Merced, CA 95343 USA |
| 推荐引用方式 GB/T 7714 | Su, Yanjun,Guo, Qinghua,Ma, Qin,et al. SRTM DEM Correction in Vegetated Mountain Areas through the Integration of Spaceborne LiDAR, Airborne LiDAR, and Optical Imagery[J]. REMOTE SENSING,2015,7(9):11202-11225. |
| APA | Su, Yanjun,Guo, Qinghua,Ma, Qin,&Li, Wenkai.(2015).SRTM DEM Correction in Vegetated Mountain Areas through the Integration of Spaceborne LiDAR, Airborne LiDAR, and Optical Imagery.REMOTE SENSING,7(9),11202-11225. |
| MLA | Su, Yanjun,et al."SRTM DEM Correction in Vegetated Mountain Areas through the Integration of Spaceborne LiDAR, Airborne LiDAR, and Optical Imagery".REMOTE SENSING 7.9(2015):11202-11225. |
入库方式： OAI收割
来源：植物研究所
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