Published February 6, 2023 | Version v1
Dataset Open

The application of unmanned aerial vehicle (UAV) surveys and GIS to the analysis and monitoring of recreational trail conditions - dataset

Authors/Creators

  • 1. Faculty of Geographical and Geological Sciences, Adam Mickiewicz University, Poznań, Poland
  • 2. Department of Environment and Society, Utah State University, Logan, Utah
  • 3. The Arctic Sustainability Lab, Faculty of Biosciences Fisheries and Economics, UiT-The Arctic University of Norway, Tromsø, Norway

Description

This dataset contains data used to test the protocol for high-resolution mapping and monitoring of recreational impacts in protected natural areas (PNAs) using unmanned aerial vehicle (UAV) surveys, Structure-from-Motion (SfM) data processing and geographic information systems (GIS) analysis to derive spatially coherent information about trail conditions (Tomczyk et al., 2023). Dataset includes the following folders:

  1. Cocora_raster_data (~3GB) and Vinicunca_raster_data (~32GB) - a very high-resolution (cm-scale) dataset derived from UAV-generated images. Data covers selected recreational trails in Colombia (Valle de Cocora) and Peru (Vinicunca). UAV-captured images were processed using the structure-from-motion approach in Agisoft Metashape software. Data are available as GeoTIFF files in the UTM projected coordinate system (UTM 18N for Colombia, UTM 19S for Peru). Individual files are named as follows [location]_[year]_[product]_[raster cell size].tif, where:
    • [location] is the place of data collection (e.g., Cocora, Vinicucna)
    • [year] is the year of data collection (e.g., 2023)
    • [product] is the tape of files: DEM = digital elevation model; ortho = orthomosaic; hs = hillshade
    • [raster cell size] is the dimension of individual raster cell in mm (e.g., 15mm)

  2. Cocora_vector_data. and Vinicunca_vector_data – mapping of trail tread and conditions in GIS environment (ArcPro). Data are available as shp files. Data are in the UTM projected coordinate system (UTM 18N for Colombia, UTM 19S for Peru).

Structure-from-motio n processing was performed in Agisoft Metashape (https://www.agisoft.com/, Agisoft, 2023). Mapping was performed in ArcGIS Pro (https://www.esri.com/en-us/arcgis/about-arcgis/overview, Esri, 2022). Data can be used in any GIS software, including commercial (e.g. ArcGIS) or open source (e.g. QGIS).

Tomczyk, A. M., Ewertowski, M. W., Creany, N., Monz, C. A., & Ancin-Murguzur, F. J. (2023). The application of unmanned aerial vehicle (UAV) surveys and GIS to the analysis and monitoring of recreational trail conditions. International Journal of Applied Earth Observations and Geoinformation, 103474. doi: https://doi.org/10.1016/j.jag.2023.103474

Notes

This study was supported by National Science Centre in Poland (2021/43/B/ST10/00950). Research in Orange County, California, was supported by a grant to the Recreation Ecology Lab at Utah State University by the Natural Communities Coalition, Irvine, California, USA.

Files

Cocora_raster_data.zip

Files (33.8 GB)

Name Size
md5:76c393e0f52557ce2fa09b131db63a84
2.9 GB Preview Download
md5:653c7663ea17601e5758566b7ef98037
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md5:e9b7652184ff751361ad4004057206fc
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md5:a0095574cf2c5958ad20494547c4de62
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md5:1de3962fecf3947317c29172c0f222cd
5.0 GB Download
md5:566d79836e57bb8f5aa92c1b53bdd752
5.0 GB Download
md5:e15bf5dbae584be9a848064744b679e4
5.0 GB Download
md5:567b7e53cf8983b3c6ff284d70ca166c
5.0 GB Download
md5:ce99c70ef9ebf052b82bfb511f6138a7
5.0 GB Download
md5:c2aaf2476a040ef86bdef71f7b02464b
862.9 MB Preview Download
md5:05803bf062dde158e9afeae4149269bd
1.9 MB Preview Download

Additional details

Related works

Is described by
Journal article: 10.1016/j.jag.2023.103474 (DOI)