dataset 607955555966672896

Description

Resources

Name Format Description Link
0 https://doi.org/10.5281/zenodo.5575332
0 https://doi.org/10.5281/zenodo.5575332
0 https://doi.org/10.5281/zenodo.5575332
0 https://doi.org/10.5281/zenodo.5575332
0 https://doi.org/10.5281/zenodo.5575332
0 https://doi.org/10.5281/zenodo.5575332
0 https://doi.org/10.5281/zenodo.5575332
0 https://doi.org/10.5281/zenodo.5575332
0 https://doi.org/10.5281/zenodo.5575332
0 https://doi.org/10.5281/zenodo.5575332
0 https://doi.org/10.5281/zenodo.5575332
0 https://doi.org/10.5281/zenodo.5575332
0 https://doi.org/10.5281/zenodo.5575332
0 https://doi.org/10.5281/zenodo.5575332
0 https://doi.org/10.5281/zenodo.5575332
0 https://doi.org/10.5281/zenodo.5575332
0 https://doi.org/10.5281/zenodo.5575332
0 https://doi.org/10.5281/zenodo.5575332
0 https://doi.org/10.5281/zenodo.5575332
0 https://doi.org/10.5281/zenodo.5575332
0 https://doi.org/10.5281/zenodo.5575332
0 https://doi.org/10.5281/zenodo.5575332
0 https://doi.org/10.5281/zenodo.5575332
0 https://doi.org/10.5281/zenodo.5575332

Tags

  • feldmessung
  • mcloud_id5f8af10e-b22c-469f-a843-d58f893e42c7
  • sedimente
  • klassifikation
  • vegetation
  • hyperspektral
  • mfund-projekt-mdrones4rivers
  • mfund-fkz-bmvi-19f2054a-d

Topics

  • ENVI

Categories