Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018WR023913 |
Automatic Image-Based Water Stage Measurement for Long-Term Observations in Ungauged Catchments | |
Eltner, Anette1; Elias, Melanie1; Sardemann, Hannes1; Spieler, Diana2 | |
2018-12-01 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2018 |
卷号 | 54期号:12页码:10362-10371 |
文章类型 | Article |
语种 | 英语 |
国家 | Germany |
英文摘要 | Small-scale and headwater catchments are mostly ungauged, even though their observation could help to improve the understanding of hydrological processes. However, it is expensive to build and maintain conventional measurement networks. Thus, the heterogeneous characteristics and behavior of catchments are currently not fully observed. This study introduces a method to capture water stage with a flexible low-cost camera setup. By considering the temporal signature of the water surface, water lines are automatically retrieved via image processing. The image coordinates are projected into object space to estimate the actual water stage. This requires high-resolution 3D models of the river bed and bank area, which are calculated in a local coordinate system with structure from motion, employing terrestrial as well as unmanned aerial vehicle imagery. A medium- and a small-scale catchment are investigated to assess the accuracy and reliability of the introduced method. Results reveal that the average deviation between the water stages measured with the camera gauge and a reference gauge are below 6mm in the medium-scale catchment. Trends of water stage changes are captured reliably in both catchments. The developed approach uses a low-cost camera design in combination with image-based water level measurements and high-resolution topography from structure from motion. In future, adding tracking algorithms can help to densify existing gauging networks. |
英文关键词 | water stage photogrammetry low cost time-lapse imagery SfM |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000456949300020 |
WOS关键词 | STRUCTURE-FROM-MOTION ; SOIL-EROSION ; VELOCIMETRY ; RECONSTRUCTION ; EVENTS ; IMPACT ; FLOODS ; LIMITS ; LSPIV |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/21555 |
专题 | 资源环境科学 |
作者单位 | 1.Tech Univ Dresden, Inst Photogrammetry & Remote Sensing, Dresden, Germany; 2.Tech Univ Dresden, Inst Hydrol & Meteorol, Dresden, Germany |
推荐引用方式 GB/T 7714 | Eltner, Anette,Elias, Melanie,Sardemann, Hannes,et al. Automatic Image-Based Water Stage Measurement for Long-Term Observations in Ungauged Catchments[J]. WATER RESOURCES RESEARCH,2018,54(12):10362-10371. |
APA | Eltner, Anette,Elias, Melanie,Sardemann, Hannes,&Spieler, Diana.(2018).Automatic Image-Based Water Stage Measurement for Long-Term Observations in Ungauged Catchments.WATER RESOURCES RESEARCH,54(12),10362-10371. |
MLA | Eltner, Anette,et al."Automatic Image-Based Water Stage Measurement for Long-Term Observations in Ungauged Catchments".WATER RESOURCES RESEARCH 54.12(2018):10362-10371. |
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