Annually modelling built-settlements between remotely-sensed observations using relative changes in subnational populations and lights at night

Computers, Environment and Urban Systems
Jeremiah J NievesA J Tatem

Abstract

Mapping urban features/human built-settlement extents at the annual time step has a wide variety of applications in demography, public health, sustainable development, and many other fields. Recently, while more multitemporal urban features/human built-settlement datasets have become available, issues still exist in remotely-sensed imagery due to spatial and temporal coverage, adverse atmospheric conditions, and expenses involved in producing such datasets. Remotely-sensed annual time-series of urban/built-settlement extents therefore do not yet exist and cover more than specific local areas or city-based regions. Moreover, while a few high-resolution global datasets of urban/built-settlement extents exist for key years, the observed date often deviates many years from the assigned one. These challenges make it difficult to increase temporal coverage while maintaining high fidelity in the spatial resolution. Here we describe an interpolative and flexible modelling framework for producing annual built-settlement extents. We use a combined technique of random forest and spatio-temporal dasymetric modelling with open source subnational data to produce annual 100 m × 100 m resolution binary built-settlement datasets in four test co...Continue Reading

Citations

Mar 26, 2021·The Science of the Total Environment·Zhiwei YangZhifeng Wu
Apr 24, 2021·Social Sciences & Humanities Open·Jeremiah J NievesAndrew J Tatem
Aug 10, 2021·The Science of the Total Environment·Xiu ZhangGuohui Li

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Methods Mentioned

BETA
feature-extraction

Software Mentioned

R
Random
GeoTiff

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