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wiesehahn/README.md

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At the edge of Forest Science, Remote Sensing and Cartography

Data science for a better understanding of forest ecosystems and their sustainable management.

Using modern tools and technologies to integrate all kinds of spatial information for an in-depth analysis and striking visualizations, mainly in the field of forestry.

Tools

R-Statistics - GDAL - PDAL - QGIS - Mapbox-GL-JS - Maplibre-GL-JS - Git - ...

Data

Soil Inventories - Forest Inventories - Custom References - Open Street Map - Orthoimages - Airborne Laser Scanning - Satellite Imagery - Sensor Data - UAV Data - Climate Models - ...

Sample Projects - Visualization

Forest disturbances in the Harz Mountains (3D-rendering in R)

Forest disturbances in the Harz Mountains

An App to visualize forest disturbances

App to visualize forest disturbances

Comparing terrain in web mapping libraries (Maplibre and Mapbox GL JS)

Web-mapping - comparing maplibre and mapbox

A personal dive map with Mapbox GL

Divespots on webmap

Dominant tree species in Germany

Map of dominant tree species

Infographic for the German National Forest Inventory

National Forest Inventory - Infographic

Pinned Loading

  1. lidar-availability lidar-availability Public

    Gather information about the data availability of lidar data (mainly airborne laserscanning, ALS) in Germany, Europe and worldwide.

    11 1

  2. lidar-forestry lidar-forestry Public

    Personal space to organize information on the topic of lidar (mainly airborne) for forestry

    TeX 4