Fine-grained, spatio-temporal datasets measuring 200 years of land; development in the United States Journal Article uri icon



  • 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 nineteenth century, and is consistently enumerated at fine spatial and temporal granularity (i.e., 250 m spatial, and 5 a 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 unprecedented spatial and temporal resolution. The datasets are available at (Uhl and Leyk, 2020a, b, c, d).;

publication date

  • September 3, 2020

has restriction

  • green

Date in CU Experts

  • February 6, 2021 11:08 AM

Full Author List

  • Uhl JH; Leyk S; McShane CM; Braswell AE; Connor DS; Balk D

author count

  • 6

Other Profiles