Geospatial data used in "Estimation of river water surface elevation using UAV photogrammetry and machine learning"

Geospatial data used in article "Estimation of river water surface elevation using UAV photogrammetry and machine learning" by Radosław Szostak, Marcin Pietroń, Przemysław Wachniew, Mirosław Zimnoch and Paweł Ćwiąkała (AGH UST).

Each zip archive contains the following files:

dsm.tif - raster of digital surface model,

ortho.tif - raster of orthophoto,

gnss_wse.json - geojson multipoint shape containing RTN GNSS measurements of water surface elevation,

grid.json - geojson multipolygon shape containing square areas of samples used in deep learning solution.

centerline.json - geojson multipoint shape containing values sampled from DSM along centerline,

wateredge.json - geojson multipoint shape containing values sampled from DSM along "water-edge".

Data in AMO18.zip archive was collected by Bandini et. al (https://doi.org/10.5281/zenodo.3519888).

Preprocessed machine learning dataset and source codes are available in github repository at: https://github.com/radekszostak/river-wse-uav-ml