Social cartography and satellite-derived building coverage for post-census population estimates in difficult-to-access regions of Colombia

Sanchez-Cespedes, Lina Maria; Leasure, Douglas R.; Tejedor‐Garavito, Natalia; Cruz, Glenn Harry Amaya; Velez, Gustavo Adolfo Garcia; Mendoza, Andryu Enrique; Salazar, Yenny Andrea Marín; Esch, Thomas; Tatem, Andrew J.; Bohórquez, Mariana Ospina

doi:10.1080/00324728.2023.2190151

Cited by 2 publications

(1 citation statement)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Data on the locations and extents of buildings and settlements are essential for many applications, from monitoring urban development (Domingo et al, 2023) and contingency planning (Nirandjan et al, 2022), to humanitarian response efforts (Herfort et al, 2021, Ullah et al, 2023 and in conducting national population and housing censuses (Darin et al, 2022, Sanchez-Cespedes et al, 2023. Over the last decade, with the growth of new sources of data, there has been a shift away from spatially detailed data on settlement extents and building locations being limited to countries with welldeveloped geospatial systems.…”

Section: Introductionmentioning

confidence: 99%

Building footprint data for countries in Africa: to what extent are existing data products comparable?

Chamberlain,

Darin,

Adewole

et al. 2023

Preprint

View full text Add to dashboard Cite

Growth and developments in computing power, machine-learning algorithms and satellite imagery spatiotemporal resolution have led to rapid developments in automated feature-extraction. These methods have been applied to create geospatial datasets of features such as roads, trees and building footprints, at a range of spatial scales, with national and multi-country datasets now available as open data from multiple sources. Building footprint data is particularly useful in a range of applications including mapping population distributions, planning resource distribution campaigns and in humanitarian response. In settings with well-developed geospatial data systems, such datasets may complement existing authoritative sources, but in data-scarce settings, they may be the only source of data. However, knowledge on the degree to which building footprint data products are comparable and can be used interchangeably, and the impact of selecting a particular dataset on subsequent analyses remains limited. For all countries in Africa, we review the available multi-country building footprint data products and analyse their similarities and differences in terms of building area and count metrics. We explore the variation between building footprint data products across a range of spatial scales, including sub-national administrative units and different settlement types. Our results show that the available building footprint data products are not interchangeable. There are clear differences in counts and total area of building footprints between the assessed data products, as well as considerable spatial heterogeneity in building footprint coverage and completeness.

show abstract