JU
Johannes H. Uhl
Post-Doctoral Research Associate, Geographic Information Scientist (Human geography not elsewhere classified; Geospatial information systems and geospatial data modelling; Urban analysis and development)
University of Colorado Boulder, USA
Publications
- MTBF-33: A multi-temporal building footprint dataset for 33 counties in the United States (1900 – 2015)
- Map Archive Mining: Visual-Analytical Approaches to Explore Large Historical Map Collections
- Gridded land use data for the conterminous United States 1940–2015
- Author Correction: Gridded land use data for the conterminous United States 1940–2015
- Road Network Evolution in the Urban and Rural United States Since 1900
- Assessing the accuracy of multi-temporal built-up land layers across rural-urban trajectories in the United States
- HISDAC-US, historical settlement data compilation for the conterminous United States over 200 years
- A framework for radiometric sensitivity evaluation of medium resolution remote sensing time series data to built-up land cover change
- Combining Remote-Sensing-Derived Data and Historical Maps for Long-Term Back-Casting of Urban Extents
- A scale-sensitive framework for the spatially explicit accuracy assessment of binary built-up surface layers
- A century of decoupling size and structure of urban spaces in the United States
- Map Archive Mining: Visual-analytical Approaches to Explore Large Historical Map Collections
- Two centuries of settlement and urban development in the United States
- Towards the large-scale extraction of historical land cover information from historical maps
- Assessing the relationship between morphology and mapping accuracy of built-up areas derived from global human settlement data
- Map Archive Mining: Visual-analytical Approaches to Explore Large Historical Map Collections
- Exposing the urban continuum: implications and cross-comparison from an interdisciplinary perspective
- Towards a novel backdating strategy for creating built-up land time series data using contemporary spatial constraints
- Automatic alignment of contemporary vector data and georeferenced historical maps using reinforcement learning
- Automated Extraction of Human Settlement Patterns From Historical Topographic Map Series Using Weakly Supervised Convolutional Neural Networks
- Fine-grained, spatio-temporal datasets measuring 200 years of land development in the United States
- Fine-grained, spatiotemporal datasets measuring 200 years of land development in the United States
- Creeping disaster along the U.S. coastline: Understanding exposure to sea level rise and hurricanes through historical development
- Combining Remote Sensing Derived Data and Historical Maps for Long-Term Back-Casting of Urban Extents
- HISDAC-ES: Historical Settlement Data Compilation for Spain (1900–2020)
- Supplementary material to "HISDAC-ES: Historical Settlement Data Compilation for Spain (1900–2020)"
- Place-level urban–rural indices for the United States from 1930 to 2018
- Spatially explicit accuracy assessment of deep learning-based, fine-resolution built-up land data in the United States
- HISDAC-ES: historical settlement data compilation for Spain (1900–2020)