45 citations · 100 across the 14 of their papers we have counts for
10 papers · 1 filter
COMBUST: Gridded combustible mass estimates of the built environment in the conterminous United States (1975-2020)
Johannes H. Uhl, Maxwell C. Cook, Cibele Amaral +4
The increasing occurrence of natural hazards such as wildfires and drought, along with urban expansion and land consumption, causes increasing levels of fire risk to populations an…
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…
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…
Analyzing urban scaling laws in the United States over 115 years
Keith Burghardt, Johannes H. Uhl, Kristina Lerman +1
The scaling relations between city attributes and population are emergent and ubiquitous aspects of urban growth. Quantifying these relations and understanding their theoretical fo…
Uncertainty prediction of built-up areas from global human settlement data in the United States based on landscape metrics
Johannes H. Uhl, Stefan Leyk
The level of landscape heterogeneity may affect the performance of remote sensing based land use / land cover classification. However, the relationship between mapping accuracy of…
A framework for scale-sensitive, spatially explicit accuracy assessment of binary built-up surface layers
Johannes H. Uhl, Stefan Leyk
To better understand the dynamics of human settlements, thorough knowledge of the uncertainty in geospatial built-up surface datasets is critical. While frameworks for localized ac…
MTBF-33: A multi-temporal building footprint dataset for 33 counties in the United States (1900-2015)
Johannes H. Uhl, Stefan Leyk
Despite abundant data on the spatial distribution of contemporary human settlements, historical data on the long-term evolution of human settlements at fine spatial and temporal gr…
Place-level urban-rural indices for the United States from 1930 to 2018
Johannes H. Uhl, Lori M. Hunter, Stefan Leyk +5
Rural-urban classifications are essential for analyzing geographic, demographic, environmental, and social processes across the rural-urban continuum. Most existing classifications…
Road Network Evolution in the Urban and Rural United States Since 1900
Keith Burghardt, Johannes Uhl, Kristina Lerman +1
Road networks represent a key component of human settlements, such as cities, towns, and villages, that mediate pollution and congestion, as well as economic development. However,…