Articles | Volume 13, issue 1
https://doi.org/10.5194/essd-13-119-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-119-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Fine-grained, spatiotemporal datasets measuring 200 years of land development in the United States
Johannes H. Uhl
CORRESPONDING AUTHOR
Department of Geography, University of Colorado Boulder, Boulder, CO 80309, USA
Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO 80309, USA
Stefan Leyk
Department of Geography, University of Colorado Boulder, Boulder, CO 80309, USA
Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO 80309, USA
Caitlin M. McShane
Department of Geography, University of Colorado Boulder, Boulder, CO 80309, USA
Anna E. Braswell
Earth Lab, Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, CO 80303, USA
Dylan S. Connor
School of Geographical Sciences & Urban Planning, Arizona State University, Tempe, AZ 85281, USA
Deborah Balk
CUNY Institute for Demographic Research and Marxe School of Public and International Affairs, Baruch College, City University of New York, New York City, NY 10017, USA
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- Creeping disaster along the U.S. coastline: Understanding exposure to sea level rise and hurricanes through historical development A. Braswell et al. 10.1371/journal.pone.0269741
- Remapping California's wildland urban interface: A property-level time-space framework, 2000–2020 A. Berg et al. 10.1016/j.apgeog.2024.103271
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- Combining Remote-Sensing-Derived Data and Historical Maps for Long-Term Back-Casting of Urban Extents J. Uhl et al. 10.3390/rs13183672
- HISDAC-ES: historical settlement data compilation for Spain (1900–2020) J. Uhl et al. 10.5194/essd-15-4713-2023
- Gridded land use data for the conterminous United States 1940–2015 C. Mc Shane et al. 10.1038/s41597-022-01591-0
- Place-level urban–rural indices for the United States from 1930 to 2018 J. Uhl et al. 10.1016/j.landurbplan.2023.104762
- Shifting social-ecological fire regimes explain increasing structure loss from Western wildfires P. Higuera et al. 10.1093/pnasnexus/pgad005
- Global urban growth between 1870 and 2100 from integrated high resolution mapped data and urban dynamic modeling X. Li et al. 10.1038/s43247-021-00273-w
- MTBF-33: A multi-temporal building footprint dataset for 33 counties in the United States (1900 – 2015) J. Uhl & S. Leyk 10.1016/j.dib.2022.108369
- A scale-sensitive framework for the spatially explicit accuracy assessment of binary built-up surface layers J. Uhl & S. Leyk 10.1016/j.rse.2022.113117
- The fastest-growing and most destructive fires in the US (2001 to 2020) J. Balch et al. 10.1126/science.adk5737
- Housing amenity and affordability shape floodplain development C. Samoray et al. 10.1016/j.landusepol.2024.107216
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- Population downscaling using high-resolution, temporally-rich U.S. property data H. Wan et al. 10.1080/15230406.2021.1991479
3 citations as recorded by crossref.
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- In the Line of Fire: Consequences of Human-Ignited Wildfires to Homes in the U.S. (1992–2015) N. Mietkiewicz et al. 10.3390/fire3030050
- A century of decoupling size and structure of urban spaces in the United States J. Uhl et al. 10.1038/s43247-020-00082-7
Latest update: 11 Dec 2024
Short summary
Fine-grained geospatial data on the spatial distribution of human settlements are scarce prior to the era of remote-sensing-based Earth observation. In this paper, we present datasets derived from a large, novel building stock database, enabling the spatially explicit analysis of 200 years of land development in the United States at an unprecedented spatial and temporal resolution. These datasets greatly facilitate long-term studies of socio-environmental systems in the conterminous USA.
Fine-grained geospatial data on the spatial distribution of human settlements are scarce prior...
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