Johannes H. Uhl

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)
• Analyzing urban scaling laws in the United States over 115 years
• Advances on the global human settlement layer by joint assessment of earth observation and population survey data
• Advances on the Global Human Settlement layer by joint assessment of earth observation and population survey data
• Advances on the Global Human Settlement Layer by joint assessment of Earth Observation and population survey data
• Changes in agglomeration and productivity are poor predictors of inequality across the archaeological record