UAS-based very high resolution digital elevation model and orthomosaic of the coastal alluvial fan Paposo, Atacama Desert

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Title:Main Title: UAS-based very high resolution digital elevation model and orthomosaic of the coastal alluvial fan Paposo, Atacama Desert
Descriptions:Abstract: This dataset contains a very high resolution (<10 cm) digital elevation model (DEM) and orthomosaic (OM) covering the coastal alluvial fan Paposo (PAP) in northern Chile (25.03°S/70.47°W). DEMs and OMs are based on aerial imagery acquired with a low-cost unmanned aerial system (UAS) on nine flight missions conducted on the 16th, 19th, and 20th of March 2018. All missions were carried out in a double grid network with 75 to 80% frontal image overlap, a nominal flight height of 150 m above the starting point, and a nominal camera angle of 10°. For subsequent structure-from-motion (SfM) and multi-view stereo (MVS) processing we used the software Agisoft Professional After initial removal of blurry images using a software-internal image quality threshold of 0.75, in total 1806 images were processed following an adapted workflow described by USGS (2017). Photos were aligned under highest accuracy and using default accuracy settings for camera location and angle of 10 m and 10°, respectively. Subsequently, the sparse point cloud was iteratively filtered and photo alignment was optimized by adapting lens distortion parameters until a reconstruction uncertainty of 500 and a projection error of 0.5 were not exceeded. To cater for systematic topographic distortion caused by missing ground control, 54 artificial ground control points (GCP) were set on topographically smooth surfaces distributed evenly across the alluvial fan. After extracting altitudinal z values from the TanDEM-X WorldDEM™ (DLR, 2017; cf. Walk et al., 2020), the GCP were integrated in the SfM-MVS workflow with an arbitrary accuracy of 0.1 m and followed by an optimization of the photo alignment. Based on a dense cloud computed under high quality settings, a DEM with a spatial resolution of 9.76 cm was constructed, which, in turn, was used to compute an orthomosaic after color calibration with a spatial resolution of 4.88 cm. The raster geodata is stored in GeoTIFF format.
Other: Deutsches Zentrum für Luft- und Raumfahrt (DLR), 2017. TanDEM-X Science Service System. Retrieved: (Accessed 22 March 2019); United States Geological Survey, 2017. Unmanned aircraft systems data postprocessing: structure-from-motion photogrammetry (USGS). Section 2 – MicaSense 5-band MultiSpectral Imagery. USGS National UAS Project Office. Retrieved: (Accessed 24 July 2020); Walk, J., Stauch, G., Reyers, M., Vásquez, P., Sepúlveda, F.A., Bartz, M., Hoffmeister, D., Brückner, H., Lehmkuhl, F., 2020. Gradients in climate, geology, and topography affecting coastal alluvial fan morphodynamics in hyperarid regions – The Atacama perspective. Global and Planetary Change 185, 102994.
Responsible Party
Creator:Janek Walk (Author)
Funding Reference:Deutsche Forschungsgemeinschaft (DFG): CRC 1211: Earth - Evolution at the Dry Limit
Publisher:CRC1211 Database (CRC1211DB)
Publication Year:2022
CRC1211 Topic:Surface
Related Subproject:C2
Subjects:Keywords: Ground-based remote sensing, Geomorphology, GIS
Geogr. Information Topic:Environment
File Details
Data Type:Dataset - Raster geodata
Size:2 Datasets
File Size:5.6 GB
Date:Created: 08.01.2019
Mime Type:application/zip
Data Format:GeoTIFF
Download Permission:Only Project Members
General Access and Use Conditions:According to the CRC1211DB data policy agreement.
Access Limitations:According to the CRC1211DB data policy agreement.
Licence:[CRC1211DB] Data policy agreement
Specific Information - Data
Temporal Extent:16.03.2018 - 20.03.2018
Lineage:Coordinate system: WGS 1984 / UTM zone 19S (32719); Vertical DEM reference: mean sea level (orthometric heights); Spatial resolution (ground sampling distance) of DEM / OM [m]: 0.0976 / 0.0488
Subtype:Geospatial Data
Initiative Type:Study
Metadata Details
Metadata Creator:Janek Walk
Metadata Created:15.12.2022
Metadata Last Updated:15.12.2022
Funding Phase:1
Metadata Language:English
Metadata Version:V50
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