Arid
DOI10.3390/rs12193200
Surface Roughness Estimation in the Orog Nuur Basin (Southern Mongolia) Using Sentinel-1 SAR Time Series and Ground-Based Photogrammetry
Ullmann, Tobias; Stauch, Georg
通讯作者Ullmann, T
来源期刊REMOTE SENSING
EISSN2072-4292
出版年2020
卷号12期号:19
英文摘要This study demonstrates an application-oriented approach to estimate area-wide surface roughness from Sentinel-1 time series in the semi-arid environment of the Orog Nuur Basin (southern Mongolia) to support recent geomorphological mapping efforts. The relation of selected mono- and multi-temporal SAR features and roughness is investigated by using an empirical multi-model approach and selected 1D and 2D surface roughness indices. These indices were obtained from 48 high-resolution ground-based photogrammetric digital elevation models, which were acquired during a single field campaign. The analysis is backed by a time series analysis, comparing Sentinel-1 features to temporal-corresponding observations and reanalysis datasets on soil moisture conditions, land surface temperature, occurrence of precipitation events, and presence and development of vegetation. Results show that Sentinel-1 features are hardly sensitive to the changing surface conditions over none to sparsely vegetated land, indicating very dry conditions throughout the year. Consequently, surface roughness is the dominating factor altering SAR intensity. The best correlation is found for the combined surface roughness index Z-Value (ratio between the root mean square height and the correlation length) and the mean summer VH intensity with an r(2) coefficient of 0.83 and an Root-Mean-Square Error of 0.032.
英文关键词surface roughness micro topography synthetic aperture radar SAR intensity structure from motion photogrammetry geomorphology
类型Article
语种英语
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000586597200001
WOS关键词SOIL SURFACE ; RADAR DATA ; BACKSCATTERING ; INVERSION ; TERRAIN ; DESERT ; MODEL ; SCALE ; ALTAI
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Geology ; 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/2XILL650/327371
作者单位[Ullmann, Tobias] Univ Wurzburg, Inst Geog & Geol, Hubland, D-97074 Wurzburg, Germany; [Stauch, Georg] Rhein Westfal TH Aachen, Dept Geog, Templergraben 55, D-52056 Aachen, Germany
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GB/T 7714
Ullmann, Tobias,Stauch, Georg. Surface Roughness Estimation in the Orog Nuur Basin (Southern Mongolia) Using Sentinel-1 SAR Time Series and Ground-Based Photogrammetry[J],2020,12(19).
APA Ullmann, Tobias,&Stauch, Georg.(2020).Surface Roughness Estimation in the Orog Nuur Basin (Southern Mongolia) Using Sentinel-1 SAR Time Series and Ground-Based Photogrammetry.REMOTE SENSING,12(19).
MLA Ullmann, Tobias,et al."Surface Roughness Estimation in the Orog Nuur Basin (Southern Mongolia) Using Sentinel-1 SAR Time Series and Ground-Based Photogrammetry".REMOTE SENSING 12.19(2020).
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