Belvedere Glacier
Notes on the Dataset
- The two oldest epochs have only greyscale values instead of RGB colors.
- The epochs from 2015 onwards cover a smaller area than the previous epochs (probably as these were acquired using a UAV compared to an aircraft).
Detailed Information
| General Information | |
| Name | Belvedere Glacier |
| Release Year | 2024 |
| Terms of Use | CC BY 4.0 |
| Access Requirements | None |
| Dataset Size | 19.9 GB | Partial download is possible, i.e. the data is split into several files (e.g., epochs or data types) |
| Documentation | Multi-paragraph description of the dataset, e.g., in the form of a paper section or a comprehensive readme file |
| Code | No |
| Applications | Analysis of geomorphological processes |
| Detailed Applications | Alpine glacier monitoring (ice flow | velocities | volume variations) |
| Acquisition | |
| Number of Scenes | 1 |
| Number of Epochs per Scene (minimum) | 13 |
| Number of Epochs per Scene (median) | 13 |
| Number of Epochs per Scene (maximum) | 13 |
| General Scene Type | Landscape |
| Specific Scene Type | Glacier |
| Location | Belvedere Glacier (Italy) |
| Acquisition Type | Photogrammetric from aerial images |
| Acquisition Device | Leica Wild RC10 | Leica Wild RC20 | Leica Wild RC30 | Z/I-Imaging DMC | Canon PowerShot S110 | SenseFly S.O.D.A. | DJI FC6310 | and Hawkeye Firefly 8S + Agisoft Metashape |
| Acquisition Platform | Aircraft | SenseFly eBee | DJI Phantom 4 Pro | and Parrot Disco |
| Scan Interval | Years |
| Acquisition Months | Janurary: 0 February: 0 March: 0 April: 0 May: 0 June: 0 July: 5 August: 2 September: 2 October: 3 November: 1 December: 0 |
| Representation | |
| Data Representation | Unstructured, globally aligned (e.g., point cloud or ray cloud) |
| Specific Data Representation | Point cloud |
| File Format/Encoding | LAZ |
| Raw Data | - |
| Additional Data | Orthophotos | DSMs | metadata (density | bbox | etc.) |
| Coordinate System | 7791 |
| Quality and Usability | |
| Registration | Finely registered |
| Number of Partial Epochs | 75.00% |
| Unusable Data Reason | - |
| Splits | No |
| Per-Point Attributes | |
| Intensity/Reflectivity | No |
| Color | Yes |
| Semantic Labels | - |
| Instance Labels | No |
| Change Labels | - |
| Statistics | |
| Number of Points per Epoch (minimum) | 39M |
| Number of Points per Epoch (median) | 79M |
| Number of Points per Epoch (maximum) | 263M |
| Avg. Point Spacing (minimum) | 1.0dm |
| Avg. Point Spacing (median) | 1.5dm |
| Avg. Point Spacing (maximum) | 1.0m |
| Avg. Change Points per Epoch | - |
Paper Reference 1
@article{ioli2022glaciermonitoring,
author = {Ioli, Francesco and Bianchi, Alberto and Cina, Alberto and De Michele, Carlo and Maschio, Paolo and Passoni, Daniele and Pinto, Livio},
title = {Mid-Term Monitoring of Glacier’s Variations with UAVs: The Example of the Belvedere Glacier},
journal = {Remote Sensing},
volume = {14},
year = {2022},
number = {1},
article-number = {28},
issn = {2072-4292},
doi = {10.3390/rs14010028},
}
Dataset Reference 1
@dataset{ioli2024datasetbelvedereglacier,
author = {Ioli, Francesco and
De Gaetani, Carlo and
Barbieri, Federico and
Gaspari, Federica and
Pinto, Livio and
Rossi, Lorenzo},
title = {Belvedere Glacier long-term monitoring Open Data},
year = {2024},
publisher = {Zenodo},
version = {2.0},
doi = {10.5281/zenodo.10817029},
}