Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1080/01431160701408352 |
Multi-resolution dune morphology using Shuttle Radar Topography Mission (SRTM) and dune mobility from fuzzy inference systems using SRTM and altimetric data | |
Potts, L. V.1,2; Akyilmaz, O.1,3; Braun, A.4; Shum, C. K.1 | |
通讯作者 | Potts, L. V. |
来源期刊 | INTERNATIONAL JOURNAL OF REMOTE SENSING
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ISSN | 0143-1161 |
出版年 | 2008 |
卷号 | 29期号:10页码:2879-2901 |
英文摘要 | The complex morphology of large sand dunes of the world’s great deserts have significant importance on conservation and climate change and hence are of interest to a wide variety of scientific and environmental applications including studies on aeolian processes, paleoclimate, civilian infrastructure management, and design of blown-sand control systems. Scientific studies on dune formation and dynamics have been limited to desert margins due to inaccessibility of the desert interior by conventional surveying and mapping techniques. Thus, dune morphology in the deep desert interiors is not well studied and much about the driving forces controlling dune activity and dynamics are still poorly understood. We demonstrate the utility of space-based observations to characterize dune morphology. Specifically, we used the Shuttle Radar Topography Mission (SRTM) C-band data to investigate and compare morphologic attributes of dune fields of the Taklimakan and the Namib Deserts. Cross-sectional amplitude roughness estimates have similar magnitude but stoss slopes are shallower in the Taklimakan Desert than in the Namib Desert. The high Height-Width (H:W) ratio of 0.09 for the linear dunes in the Taklimakan Desert is indicative of its equilibrium with aeolian shear stress whereas the Namib Desert dunes are unstable. Multi-resolution planimetric properties from SRTM Digital Elevation Model (DEM) using B-spline wavelet decomposition reveal linear dunes in the Taklimakan Desert are superimposed on a dome-like substrate whereas the linear dune in the Namib Desert are constructed on a knoll-like submorphology. These long-wavelength features, taken as paleotopography, may be a major controlling factor on wind patterns and dune sinuosity. We demonstrate the utility of ANFIS to assess seasonal dune changes in the Namib Desert using ICESat observations and SRTM. ANFIS is a data-driven prediction scheme. Predicted topography along ICESat tracks have low rms of 3.5m, a 30% increase over SRTM accuracy. Seasonal track comparison from August 2003 to January 2005 shows that most changes to dune topography occur at crestal deformation of isolated dunes. The results show seasonal waning and waxing of dune crests. |
类型 | Article |
语种 | 英语 |
国家 | USA ; Turkey ; Canada |
收录类别 | SCI-E |
WOS记录号 | WOS:000255441800006 |
WOS关键词 | SAND DUNES ; TAKLIMAKAN DESERT ; NORTH-CAROLINA ; ROUGHNESS ; BEDFORMS ; CLIMATE ; ICE |
WOS类目 | Remote Sensing ; Imaging Science & Photographic Technology |
WOS研究方向 | Remote Sensing ; Imaging Science & Photographic Technology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/157760 |
作者单位 | 1.Ohio State Univ, Lab Space Geodesy & Remote Sensing Res, Columbus, OH 43210 USA; 2.New Jersey Inst Technol, Dept Engn Technol, Newark, NJ 07102 USA; 3.Istanbul Tech Univ, Inst Geodesy, TR-34469 Istanbul, Turkey; 4.Univ Calgary, Dept Geomat Engn, Calgary, AB T2N 1N4, Canada; 5.Ohio State Univ, Dept Civil & Environm Engn & Geodet Sci, Columbus, OH 43210 USA |
推荐引用方式 GB/T 7714 | Potts, L. V.,Akyilmaz, O.,Braun, A.,et al. Multi-resolution dune morphology using Shuttle Radar Topography Mission (SRTM) and dune mobility from fuzzy inference systems using SRTM and altimetric data[J],2008,29(10):2879-2901. |
APA | Potts, L. V.,Akyilmaz, O.,Braun, A.,&Shum, C. K..(2008).Multi-resolution dune morphology using Shuttle Radar Topography Mission (SRTM) and dune mobility from fuzzy inference systems using SRTM and altimetric data.INTERNATIONAL JOURNAL OF REMOTE SENSING,29(10),2879-2901. |
MLA | Potts, L. V.,et al."Multi-resolution dune morphology using Shuttle Radar Topography Mission (SRTM) and dune mobility from fuzzy inference systems using SRTM and altimetric data".INTERNATIONAL JOURNAL OF REMOTE SENSING 29.10(2008):2879-2901. |
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