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Title: Fine-grained, spatiotemporal datasets measuring 200 years of land development in the United States

Citation Type: Journal Article

Publication Year: 2021

ISSN: 1866-3508

DOI: 10.5194/ESSD-13-119-2021

PMID: 34970355

Abstract: The collection, processing, and analysis of remote sensing data since the early 1970s has rapidly improved our understanding of change on the Earth s surface. While satellite-based Earth observation has proven to be of vast scientific value, these data are typically confined to recent decades of observation and often lack important thematic detail. Here, we advance in this arena by constructing new spatially explicit settlement data for the United States that extend back to the early 19th century and are consistently enumerated at fine spatial and temporal granularity (i.e. 250m spatial and 5-year temporal resolution). We create these time series using a large, novel building-stock database to extract and map retrospective, fine-grained spatial distributions of built-up properties in the conterminous United States from 1810 to 2015. From our data extraction, we analyse and publish a series of gridded geospatial datasets that enable novel retrospective historical analysis of the built environment at an unprecedented spatial and temporal resolution. The datasets are part of the Historical Settlement Data Compilation for the United States

Url: https://pubmed.ncbi.nlm.nih.gov/34970355/

User Submitted?: No

Authors: H. Uhl, Johannes; Leyk, Stefan; M. McShane, Caitlin; E. Braswell, Anna; S. Connor, Dylan; Balk, Deborah

Periodical (Full): Earth system science data

Issue: 1

Volume: 13

Pages: 119-153

Data Collections: IPUMS NHGIS

Topics: Natural Resource Management

Countries:

IPUMS NHGIS NAPP IHIS ATUS Terrapop