2026-06-04T06:32:34Zhttp://doidb.wdc-terra.org/oaip/oaioai:doidb.wdc-terra.org:70852021-06-15T11:46:20ZDOIDBDOIDB.CRC1211false4DOIDB.CRC1211
10.5880/CRC1211DB.41
Walk, Janek
Janek
Walk
RWTH Aachen, Department of Geography
Bartz, Melanie
Melanie
Bartz
University of Cologne, Institute of Geography
Stauch, Georg
Georg
Stauch
https://orcid.org/0000-0002-8046-140X
RWTH Aachen, Department of Geography
Brückner, Helmut
Helmut
Brückner
University of Cologne, Institute of Geography
Lehmkuhl, Frank
Frank
Lehmkuhl
RWTH Aachen, Department of Geography
UAS-based micro-scale surface texture for different generations of the coastal alluvial fan Guanillos, Atacama Desert
CRC1211 Database (CRC1211DB)
2021
Environment
Ground-based remote sensing
Geomorphology
GIS
Deutsche Forschungsgemeinschaft
http://dx.doi.org/10.13039/501100001659
CRC 1211
Earth - Evolution at the Dry Limit
19.08.2020
en
Data table
2 Datasets
CSV
1
[Creative Commons] Attribution-NonCommercial 4.0 International
This dataset contains two micro-scale surface roughness measures - the standard deviation of slope (StdSlo) and the Vector Ruggedness Measure (VRM) - of the coastal alluvial fan Guanillos (GUA) in northern Chile (21.97°S, 70.17°W).
Both roughness measures are derived from 5 cm digital elevation models (DEM) constructed based on surveys using an unmanned aerial system (UAS). Surface texture is quantified for three spatial scales of ca. 1 m, 2 m, and 3 m.
Restricted to detailed areas of interest (AOI), the calculated spectral ratios are attributed to the four alluvial fan surface generations, or morphostratigraphic units, Q1 to Q4. Results are stored in an individual .csv table for each surface roughness measure.
Chile
-70.17
-21.97