Skip to content

nwfva-b4/forest-data-resources

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 

Repository files navigation

Forest Data Resources

A collection of geospatial data resources in the context of forestry and remote sensing for Germany. The aim is to collect data resources which are available for wider extents (e.g. federal state level) as open data. This list does not intend to be complete, but rather lists resources which are relevant in my daily work.

Forest Mask

  • Stocked forest area map (2018) - Thünen Institute
    Badge Badge
  • Tree Cover Density (2018) - Copernicus High Resolution Layers
    Badge Badge Badge

Tree Species

  • Dominant Tree Species for Germany (2017/2018) - Thünen Institute
    Badge Badge
  • Tree Species - Sentinel-1/2 - Germany, 2022 - DLR
    Badge Badge
  • Dominant Leaf Type (2018) - Copernicus High Resolution Layers
    Badge Badge
  • Forest Type (2018) - Copernicus High Resolution Layers
    Badge Badge

Orthophotos

  • Germany
    Badge Badge

  • Brandenburg/Berlin
    Badge Badge

  • Hesse
    Badge

  • Lower Saxony
    Badge

  • North Rhine Westphalia
    Badge Badge

  • Saxony Anhalt
    Badge

Digital Surface Model

  • Lower Saxony
    Badge

Digital Terrain Model

  • Brandenburg/Berlin
    Badge
  • Lower Saxony
    Badge

Basemap

  • Badge Badge

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors