Pfeiffer, Jan; Scaioni, Marco; Rutzinger, Martin; Adams, Marc; Graf, Armin; Sotier, Bernadette; Höfle, Bernhard; Lindenbergh, Roderik; Oude Elberink, Sander; Pirotti, Francesco; Bremer, Magnus; Zieher, Thomas; Hämmerle, Martin; Wujanz, Daniel (2019): Terrestrial and unmanned aerial vehicle images and point clouds of the Rotmoos valley near Obergurgl, Austria with coordinates of corresponding ground control points acquired during the Innsbruck Summer School of Alpine Research [dataset]. Institute of Geography, University of Innsbruck, PANGAEA, https://doi.org/10.1594/PANGAEA.898939
Always quote citation above when using data! You can download the citation in several formats below.
Abstract:
Structure-from-Motion (SfM) and dense matching are consolidated techniques for automated point cloud generation from images. A camera installed in the payload of a fixed-wing unmanned aerial vehicle (UAV) allows to reconstruct the terrain topography of a large area like the floor of the Rotmoos valley, while a block of images captured with a ground-based camera may be used for integrating vertical walls, as for example eroded riverbanks. Data-sets can be georeferenced into the same mapping reference frame using coordinates of ground control points (GCPs) measured with a differential global navigation satellite system (DGNSS) or geodetic methods. This data publication contains data acquired during the Innsbruck Summer School of Alpine Research - Close Range Sensing Techniques in Alpine Terrain, which took place in Obergurgl, Austria. With the support of the Austrian Research Centre for Forests (BFW) pictures were captured either from the ground or from an UAV. Additionally, DGNSS and total station devices were used to estimate the coordinates (WGS 84 / UTM zone 32N; EPSG:32632) of GCPs recognizable within the pictures. To facilitate the recognition of each ground control point within the corresponding picture a sketch identifying their position within a RGB-coloured map is attached. Besides of these photogrammetric raw data, further processed photogrammetric point clouds and data from laser scanning campaigns covering the catchment of the Rotmoos valley are published.
Related to:
Backes, Dietmar; Smigaj, M; Schimka, Marian; Zahs, Vivien; Grznárová, A; Scaioni, Marco (2020): RIVER MORPHOLOGY MONITORING OF A SMALL-SCALE ALPINE RIVERBED USING DRONE PHOTOGRAMMETRY AND LIDAR. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B2-2020, 1017-1024, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1017-2020
Karantanellis, Efstratios; Arav, R; Dille, Antoine; Lippl, Stefan; Marsy, G; Torresani, L; Oude Elberink, Sander (2020): EVALUATING THE QUALITY OF PHOTOGRAMMETRIC POINT-CLOUDS IN CHALLENGING GEO-ENVIRONMENTS – A CASE STUDY IN AN ALPINE VALLEY. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B2-2020, 1099-1105, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1099-2020
Rutzinger, Martin; Anders, Katharina; Bremer, Magnus; Höfle, Bernhard; Lindenbergh, Roderik; Oude Elberink, Sander; Pirotti, Francesco; Scaioni, Marco; Zieher, Thomas (2020): TRAINING IN INNOVATIVE TECHNOLOGIES FOR CLOSE-RANGE SENSING IN ALPINE TERRAIN – 3RD EDITION. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B5-2020, 243-250, https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-243-2020
Rutzinger, Martin; Bremer, Magnus; Höfle, Bernhard; Hämmerle, Martin; Lindenbergh, Roderik; Oude Elberink, Sander; Pirotti, Francesco; Scaioni, Marco; Wujanz, Daniel; Zieher, Thomas (2018): Training In Innovative Technologies For Close-Range Sensing In Alpine Terrain. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 239-246, https://doi.org/10.5194/isprs-annals-IV-2-239-2018
Rutzinger, Martin; Höfle, Bernhard; Lindenbergh, Roderik; Oude Elberink, Sander; Pirotti, Francesco; Sailer, Rudolf; Scaioni, Marco; Stötter, Johann; Wujanz, Daniel (2016): Close-Range Sensing Techniques In Alpine Terrain. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-6, 15-22, https://doi.org/10.5194/isprs-annals-III-6-15-2016
Coverage:
Latitude: 46.843740 * Longitude: 11.022040
Date/Time Start: 2015-07-09T00:00:00 * Date/Time End: 2022-01-01T00:00:00
Event(s):
Comment:
Dataset will be updated regularly with new data from coming years.
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | DATE/TIME | Date/Time | Pfeiffer, Jan | Geocode | ||
| 2 | Method comment | Method comm | Pfeiffer, Jan | |||
| 3 | Binary Object | Binary | Pfeiffer, Jan | |||
| 4 | Binary Object (File Size) | Binary (Size) | Bytes | Pfeiffer, Jan |
Change history:
2023-05-16T10:45:42 – Files added (years 2019-2022)
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
16 data points
Data
All files referred to in data matrix can be downloaded in one go as ZIP or TAR. Be careful: This download can be very large! To protect our systems from misuse, we require to sign up for an user account before downloading.
| 1 Date/Time | 2 Method comm | 3 Binary | 4 Binary (Size) [Bytes] |
|---|---|---|---|
| 2015-07-09 | photogrammetry | 2015_river_erosion_photogrammetry.zip | 4.3 GBytes |
| 2015-07-09 | TLS UTM32N | 20150709_Rotmoos_glaciers_TLS_UTM32N.zip | 471.2 MBytes |
| 2017-07-19 | photogrammetry | 2017_river_erosion_photogrammetry.zip | 3.3 GBytes |
| 2019-06-01 | NikonD80 | 201906_Rotmoos_TPHG.zip | 548.5 MBytes |
| 2019-06-01 | RIEGL VUX-1LR mounted on a RIEGL RiCOPTER | 201906_Rotmoostal_ULS.laz | 794 MBytes |
| 2019-06-18 | Canon EOS 6D | 20190618_rotmoos_rockfall_THPG.zip | 1.3 GBytes |
| 2021-01-01 | RIEGL VUX-1LR mounted on a RIEGL RiCOPTER | 2021_Rotmoostal_colorized_ULS.laz | 634.9 MBytes |
| 2022-01-01 | RIEGL VUX-1LR mounted on a RIEGL RiCOPTER | 2022_rotmoos_ULS.zip | 2.8 GBytes |