High-resolution population estimation using household survey data and building footprints
The national census is an essential data source to support decision-making in many areas
of public interest. However, this data may become outdated during the intercensal period …
of public interest. However, this data may become outdated during the intercensal period …
[HTML][HTML] Urban poverty maps-From characterising deprivation using geo-spatial data to capturing deprivation from space
Most earth observation (EO) approaches only yield a binary delineation of deprived/non-
deprived areas–an oversimplified characterisation with little information inferred regarding …
deprived areas–an oversimplified characterisation with little information inferred regarding …
Mask R‐CNN‐based building extraction from VHR satellite data in operational humanitarian action: An example related to Covid‐19 response in Khartoum, Sudan
D Tiede, G Schwendemann, A Alobaidi… - Transactions in …, 2021 - Wiley Online Library
Within the constraints of operational work supporting humanitarian organizations in their
response to the Covid‐19 pandemic, we conducted building extraction for Khartoum, Sudan …
response to the Covid‐19 pandemic, we conducted building extraction for Khartoum, Sudan …
[HTML][HTML] Building footprint data for countries in Africa: to what extent are existing data products comparable?
Growth and developments in computing power, machine-learning algorithms and satellite
imagery spatiotemporal resolution have led to rapid developments in automated feature …
imagery spatiotemporal resolution have led to rapid developments in automated feature …
Characterizing human mobility patterns in rural settings of sub-Saharan Africa
Human mobility is a core component of human behavior and its quantification is critical for
understanding its impact on infectious disease transmission, traffic forecasting, access to …
understanding its impact on infectious disease transmission, traffic forecasting, access to …
Using Sentinel-1 and Google Earth Engine cloud computing for detecting historical flood hazards in tropical urban regions: a case of Dar es Salaam
This study investigates the potential of freely available Sentinel-1 imagery coupled with
Google Earth Engine (GEE) for mapping and monitoring flooding in Dar es Salaam. Sentinel …
Google Earth Engine (GEE) for mapping and monitoring flooding in Dar es Salaam. Sentinel …
[HTML][HTML] High-resolution population maps derived from sentinel-1 and sentinel-2
Detailed population maps play an important role in diverse fields ranging from humanitarian
action to urban planning. Generating such maps in a timely and scalable manner presents a …
action to urban planning. Generating such maps in a timely and scalable manner presents a …
Development of a uniform exposure model for the African continent for use in disaster risk assessment
Several destructive natural hazards have occurred throughout Africa over the past century,
yet few comprehensive exposure models exist for the continent. The high population growth …
yet few comprehensive exposure models exist for the continent. The high population growth …
How accurate are WorldPop-Global-Unconstrained gridded population data at the cell-level?: A simulation analysis in urban Namibia
Disaggregated population counts are needed to calculate health, economic, and
development indicators in Low-and Middle-Income Countries (LMICs), especially in settings …
development indicators in Low-and Middle-Income Countries (LMICs), especially in settings …
Mapping Deprived Urban Areas Using Open Geospatial Data and Machine Learning in Africa
Reliable data on slums or deprived living conditions remain scarce in many low-and middle-
income countries (LMICs). Global high-resolution maps of deprived areas are fundamental …
income countries (LMICs). Global high-resolution maps of deprived areas are fundamental …