Artykuły udostępnione publicznie: - Johannes H. UhlWięcej informacji
Niedostępny w żadnym miejscu: 1
Towards a novel backdating strategy for creating built-up land time series data using contemporary spatial constraints
JH Uhl, S Leyk
Remote Sensing of Environment 238, 111197, 2019
Upoważnienia: US National Science Foundation, US National Institutes of Health
Dostępne w jakimś miejscu: 35
Two centuries of settlement and urban development in the United States
S Leyk, JH Uhl, DS Connor, AE Braswell, N Mietkiewicz, JK Balch, ...
Science advances 6 (23), eaba2937, 2020
Upoważnienia: US National Science Foundation, US National Institutes of Health
Assessing the accuracy of multi-temporal built-up land layers across rural-urban trajectories in the United States
S Leyk, JH Uhl, D Balk, B Jones
Remote sensing of environment 204, 898-917, 2018
Upoważnienia: US National Science Foundation, US National Institutes of Health
HISDAC-US, historical settlement data compilation for the conterminous United States over 200 years
S Leyk, JH Uhl
Scientific data 5 (1), 1-14, 2018
Upoważnienia: US National Science Foundation, US National Institutes of Health
Road network evolution in the urban and rural United States since 1900
K Burghardt, JH Uhl, K Lerman, S Leyk
Computers, Environment and Urban Systems 95, 101803, 2022
Upoważnienia: US National Science Foundation, US Department of Defense, US National …
Map archive mining: visual-analytical approaches to explore large historical map collections
JH Uhl, S Leyk, YY Chiang, W Duan, CA Knoblock
ISPRS international journal of geo-information 7 (4), 148, 2018
Upoważnienia: US National Science Foundation, US National Institutes of Health
Automated extraction of human settlement patterns from historical topographic map series using weakly supervised convolutional neural networks
JH Uhl, S Leyk, YY Chiang, W Duan, CA Knoblock
IEEE Access 8, 6978-6996, 2019
Upoważnienia: US National Science Foundation
Automatic alignment of contemporary vector data and georeferenced historical maps using reinforcement learning
W Duan, YY Chiang, S Leyk, JH Uhl, CA Knoblock
International Journal of Geographical Information Science 34 (4), 824-849, 2020
Upoważnienia: US National Science Foundation
Extracting human settlement footprint from historical topographic map series using context-based machine learning
JH Uhl, S Leyk, YY Chiang, W Duan, CA Knoblock
8th International Conference of Pattern Recognition Systems (ICPRS 2017), 1-6, 2017
Upoważnienia: US National Science Foundation
Fine-grained, spatio-temporal datasets measuring 200 years of land development in the United States
JH Uhl, S Leyk, CM McShane, AE Braswell, DS Connor, D Balk
Earth System Science Data Discussions 2020, 1-43, 2020
Upoważnienia: US National Science Foundation, US National Institutes of Health
Towards the automated large-scale reconstruction of past road networks from historical maps
JH Uhl, S Leyk, YY Chiang, CA Knoblock
Computers, environment and urban systems 94, 101794, 2022
Upoważnienia: US National Science Foundation, US National Institutes of Health, US …
Automatic alignment of geographic features in contemporary vector data and historical maps
W Duan, YY Chiang, CA Knoblock, V Jain, D Feldman, JH Uhl, S Leyk
Proceedings of the 1st workshop on artificial intelligence and deep learning …, 2017
Upoważnienia: US National Science Foundation
Combining remote-sensing-derived data and historical maps for long-term back-casting of urban extents
JH Uhl, S Leyk, Z Li, W Duan, B Shbita, YY Chiang, CA Knoblock
Remote sensing 13 (18), 3672, 2021
Upoważnienia: US National Science Foundation, US National Institutes of Health
A century of decoupling size and structure of urban spaces in the United States
JH Uhl, DS Connor, S Leyk, AE Braswell
Communications earth & environment 2 (1), 20, 2021
Upoważnienia: US National Science Foundation, US National Institutes of Health
Spatialising uncertainty in image segmentation using weakly supervised convolutional neural networks: A case study from historical map processing
JH Uhl, S Leyk, YY Chiang, W Duan, CA Knoblock
IET Image Processing 12 (11), 2084-2091, 2018
Upoważnienia: US National Science Foundation
An automatic approach for generating rich, linked geo-metadata from historical map images
Z Li, YY Chiang, S Tavakkol, B Shbita, JH Uhl, S Leyk, CA Knoblock
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Upoważnienia: US National Science Foundation
Exposing the urban continuum: Implications and cross-comparison from an interdisciplinary perspective
JH Uhl, H Zoraghein, S Leyk, D Balk, C Corbane, V Syrris, AJ Florczyk
International journal of digital earth, 2020
Upoważnienia: US National Science Foundation, US National Institutes of Health
Place-level urban–rural indices for the United States from 1930 to 2018
JH Uhl, LM Hunter, S Leyk, DS Connor, JJ Nieves, C Hester, C Talbot, ...
Landscape and Urban Planning 236, 104762, 2023
Upoważnienia: US National Institutes of Health
Data practices for studying the impacts of environmental amenities and hazards with nationwide property data
C Nolte, KJ Boyle, AM Chaudhry, C Clapp, D Guignet, H Hennighausen, ...
Land Economics 100 (1), 200-221, 2024
Upoważnienia: US National Science Foundation
A scale-sensitive framework for the spatially explicit accuracy assessment of binary built-up surface layers
JH Uhl, S Leyk
Remote Sensing of Environment 279 (113117), 2022
Upoważnienia: US National Science Foundation, US National Institutes of Health, US …
Informacje na temat publikacji i finansowania automatycznie określa program komputerowy