Johannes Uhl
Geographic information scientist + Post-doctoral research associate @ University of Colorado, Boulder, USA. Leveraging large spatio-temporal datasets for long-term modeling of land use / land cover changes + evolution of urban systems.
Talks
A python-based pipeline for large-scale land cover information extraction from cloud-based historical topographic map collections
We leverage open-source python tools to extract historical land cover information (1890-1950) from the United States Geological Survey (USGS) Historical Topographic Map Collection (HTMC). Based on python packages for image processing, machine learning, and geospatial analysis, we extracted historical road networks, urban areas, and forest extents to enhance our knowledge of historical landscape evolution in the United States.