Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/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 |
EISSN | 2072-4292 |
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 |
推荐引用方式 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). |
条目包含的文件 | 条目无相关文件。 |
个性服务 |
推荐该条目 |
保存到收藏夹 |
导出为Endnote文件 |
谷歌学术 |
谷歌学术中相似的文章 |
[Ullmann, Tobias]的文章 |
[Stauch, Georg]的文章 |
百度学术 |
百度学术中相似的文章 |
[Ullmann, Tobias]的文章 |
[Stauch, Georg]的文章 |
必应学术 |
必应学术中相似的文章 |
[Ullmann, Tobias]的文章 |
[Stauch, Georg]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。