45 citations · 57 across the 7 of their papers we have counts for
4 papers · 1 filter
CHRONEX-US: City-level historical road network expansion dataset for the conterminous United States
Johannes H. Uhl, Keith A. Burghardt, Stefan Leyk
Geospatial datasets on the long-term evolution of road networks are scarce, hampering our quantitative understanding of how the contemporary road network has evolved over the cours…
Universal Patterns in the Long-term Growth of Urban Infrastructure in U.S. Cities from 1900 to 2015
Keith Burghardt, Johannes H. Uhl, Kristina Lerman +1
Despite the rapid growth of cities in the past century, our quantitative, in-depth understanding of how cities grow remains limited due to a consistent lack of historical data. Thu…
Towards localized accuracy assessment of remote-sensing derived built-up land layers across the rural-urban continuum
Johannes H. Uhl, Stefan Leyk
The accuracy assessment of remote-sensing derived built-up land data represents a specific case of binary map comparison, where class imbalance varies considerably across rural-urb…
Spatially explicit accuracy assessment of deep learning-based, fine-resolution built-up land data in the United States
Johannes H. Uhl, Stefan Leyk
Geospatial datasets derived from remote sensing data by means of machine learning methods are often based on probabilistic outputs of abstract nature, which are difficult to transl…