Roncat, Andreas; Wieser, Martin; Briese, Christian; Bollmann, Erik; Sailer, Rudolf; Pfeifer, Norbert (2013): Digital surface model, hillshade and Lambertian reflectance model of the rock glaciers Oelgrube and Aeusseres Hochebenkar (Oetztal Alps, Tyrol, Austria) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.816225, Supplement to: Roncat, A et al. (2013): Analysing the suitability of radiometrically calibrated full-waveform lidar data for delineating Alpine rock glaciers. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, II-5/W2, 247-252, https://doi.org/10.5194/isprsannals-II-5-W2-247-2013
Always quote citation above when using data! You can download the citation in several formats below.
Abstract:
With full-waveform (FWF) lidar systems becoming increasingly available from different commercial manufacturers, the possibility for extracting physical parameters of the scanned surfaces in an area-wide sense, as addendum to their geometric representation, has risen as well. The mentioned FWF systems digitize the temporal profiles of the transmitted laser pulse and of its backscattered echoes, allowing for a reliable determination of the target distance to the instrument and of physical target quantities by means of radiometric calibration, one of such quantities being the diffuse Lambertian reflectance.
The delineation of glaciers is a time-consuming task, commonly performed manually by experts and involving field trips as well as image interpretation of orthophotos, digital terrain models and shaded reliefs. In this study, the diffuse Lambertian reflectance was compared to the glacier outlines mapped by experts. We start the presentation with the workflow for analysis of FWF data, their direct georeferencing and the calculation of the diffuse Lambertian reflectance by radiometric calibration; this workflow is illustrated for a large FWF lidar campaign in the Ötztal Alps (Tyrol, Austria), operated with an Optech ALTM 3100 system. The geometric performance of the presented procedure was evaluated by means of a relative and an absolute accuracy assessment using strip differences and orthophotos, resp. The diffuse Lambertian reflectance was evaluated at two rock glaciers within the mentioned lidar campaign. This feature showed good performance for the delineation of the rock glacier boundaries, especially at their lower parts.
Coverage:
Median Latitude: 46.864283 * Median Longitude: 10.883529 * South-bound Latitude: 46.834620 * West-bound Longitude: 10.755817 * North-bound Latitude: 46.893947 * East-bound Longitude: 11.011240
Event(s):
HEK (Hochebenkar) * Latitude: 46.834620 * Longitude: 11.011240 * Location: Ötztal, Tyrolian Alps, Austria
Comment:
The data sets contain the digital surface models (1m grid), the corresponding hillshades (1m resolution) and the model of the Lambertian surface reflectance (2m grid).
The data stem from an airborne lidar campaign conducted in October 2010, operating in the near infrared (1064nm laser wavelength) using full-waveform digitization. All data sets are given as GeoTIFFs in UTM projection (Zone 32N), height reference is the WGS84 ellipsoid. The according geocode is included in the file headers (EPSG:32632).
The diffuse reflectance was calibrated on behalf of in-situ reflectometer measurements in the same wavelength.
Data collection and processing were supported by the COMET project MUSICALS (MUltiscale Snow/ICemelt Discharge Simulation into ALpine ReservoirS) and C4Austria (Climate Change Consequences for the Cryosphere) funded by the Austrian Climate Research Program (ACRP).
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Event label | Event | ||||
| 2 | Comment | Comment | Roncat, Andreas | |||
| 3 | File name | File name | Roncat, Andreas | |||
| 4 | File size | File size | kByte | Roncat, Andreas | ||
| 5 | Uniform resource locator/link to file | URL file | Roncat, Andreas | GeoTIFF |
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Size:
24 data points