Uhl Johannes H, Leyk Stefan, McShane Caitlin M, Braswell Anna E, Connor Dylan S, Balk Deborah
Department of Geography, University of Colorado Boulder, Boulder, CO 80309, USA.
Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO 80309, USA.
Earth Syst Sci Data. 2021;13(1):119-153. doi: 10.5194/essd-13-119-2021. Epub 2021 Jan 27.
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 (https://dataverse.harvard.edu/dataverse/hisdacus, last access: 25 January 2021) and are available at https://doi.org/10.7910/DVN/YSWMDR (Uhl and Leyk, 2020a), https://doi.org/10.7910/DVN/SJ213V (Uhl and Leyk, 2020b), and https://doi.org/10.7910/DVN/J6CYUJ (Uhl and Leyk, 2020c).
自20世纪70年代初以来，遥感数据的收集、处理和分析迅速增进了我们对地球表面变化的理解。虽然基于卫星的地球观测已被证明具有巨大的科学价值，但这些数据通常仅限于近几十年的观测，而且往往缺乏重要的专题细节。在此，我们在这一领域取得进展，构建了美国新的空间明确的定居点数据，这些数据可追溯到19世纪初，并以精细的空间和时间粒度（即250米空间分辨率和5年时间分辨率）持续进行枚举。我们使用一个大型的新型建筑存量数据库创建这些时间序列，以提取并绘制1810年至2015年美国本土建成区属性的回顾性、细粒度空间分布。通过数据提取，我们分析并发布了一系列网格化地理空间数据集，这些数据集能够以前所未有的空间和时间分辨率对建成环境进行全新的回顾性历史分析。这些数据集是美国历史定居点数据汇编（https://dataverse.harvard.edu/dataverse/hisdacus，最后访问时间：2021年1月25日）的一部分，可在https://doi.org/10.7910/DVN/YSWMDR（乌尔和莱克，2020a）、https://doi.org/10.7910/DVN/SJ213V（乌尔和莱克，2020b）以及https://doi.org/10.7910/DVN/J6CYUJ（乌尔和莱克，2020c）获取。
