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StageDetect - An image-based tool for automatic water stage detection - image dataset
Metadaten
| Weitere mitwirkende Personen, Institutionen oder Unternehmen | eu - Funder | |
| Weitere mitwirkende Personen, Institutionen oder Unternehmen | Kröhnert, Melanie - TU Dresden - Researcher | |
| Weitere mitwirkende Personen, Institutionen oder Unternehmen | Sardemann, Hannes - TU Dresden - Researcher | |
| Weitere mitwirkende Personen, Institutionen oder Unternehmen | Spieler, Diana - TU Dresden - Researcher | |
| Für den Inhalt der Forschungsdaten verantwortliche Person(en) | Eltner, Anette | |
| Kurzbeschreibung | The dataset includes image sets and data to reference the image measurements. The image sets and datasets are used for figure 3 in the WRR manuscript 'Automatic image-based water stage measurement for long-term observations in ungauged catchments'. The image sets comprise the master images of the image sequences captured in frequent interval with Raspberry Pi cameras at the river Wesenitz and Wernersbach in Saxony, Germany. If entire image sequences (instead of single masters) are requested (they are not provided here due to large data size), please contact Anette.Eltner@tu-dresden.de | |
| Länder, auf die sich die Daten beziehen | GERMANY | de |
| Region(en) auf die sich die Daten beziehen | Saxony | |
| Weitere Schlagwörter | photogrammetry, SfM, water stage, low-cost, image-processing | |
| Entstehungsjahr oder Entstehungszeitraum | 2018 | |
| Veröffentlichungsjahr | 2018 | |
| Herausgeber | Technische Universität Dresden | |
| Inhalt der Forschungsdaten | Image, Dataset: Masters of image sequences of camera-gauge Wesenitz (imgsWesenitz_*.zip) Masters of image sequences of camera-gauge Wernersbach (imgsWernersbach.zip) Dataset to retrieve 3D info at camera-gauge Wesenitz (dataWesenitz.zip) Dataset to retrieve 3D info at camera-gauge Wernersbach (dataWernersbach.zip) | |
| Eigene Spezifikation der Nutzungsrechte | ||
| Inhaber der Nutzungsrechte | Technische Universität Dresden | |
| Nutzungsrechte des Datensatzes | CC-BY-NC-4.0 | |
| Angabe der Fachgebiete | Geography | de |
| Angabe der Fachgebiete | Other | de |
| Titel des Datensatzes | StageDetect - An image-based tool for automatic water stage detection - image dataset |
Dateien zu dieser Ressource
Die Datenpakete erscheinen in:
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Automatic image-based water stage measurement for long-term observations in ungauged catchments [1]
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 SfM, employing terrestrial as well as UAV 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 6 mm 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 SfM. In future, adding tracking algorithms can help to densify existing gauging networks.