dataset 607955538577088512

Description

Resources

Name Format Description Link
0 https://zenodo.org/record/5827756
0 https://zenodo.org/record/5827756
0 https://zenodo.org/record/5827756
0 https://zenodo.org/record/5827756
0 https://zenodo.org/record/5827756
0 https://zenodo.org/record/5827756
0 https://zenodo.org/record/5827756
0 https://zenodo.org/record/5827756
0 https://zenodo.org/record/5827756
0 https://zenodo.org/record/5827756
0 https://zenodo.org/record/5827756
0 https://zenodo.org/record/5827756
0 https://zenodo.org/record/5827756
0 https://zenodo.org/record/5827756
0 https://zenodo.org/record/5827756
0 https://zenodo.org/record/5827756
0 https://zenodo.org/record/5827756
0 https://zenodo.org/record/5827756
0 https://zenodo.org/record/5827756
0 https://zenodo.org/record/5827756
0 https://zenodo.org/record/5827756
0 https://zenodo.org/record/5827756
0 https://zenodo.org/record/5827756
0 https://zenodo.org/record/5827756

Tags

  • mdrones4rivers
  • riparian
  • rhine
  • open-data
  • near-infrared
  • high-resolution
  • uav
  • aerial
  • drone
  • mfund-fkz-19f2054
  • hydromorphology
  • digital-surface-model
  • federal-waterways
  • image-classification
  • river
  • rgb
  • multispectral
  • orthophoto
  • vegetation
  • monitoring
  • mcloud_id60a79c12-8da7-4d13-82c2-1d231a228184
  • remote-sensing
  • emmericher-ward
  • water
  • dsm
  • uas
  • mfund-projekt-mdrones4rivers
  • substrate
  • geotiff
  • renaturation

Topics

  • ENVI

Categories