A spatio-temporal analysis investigating completeness and inequalities of global urban building data in OpenStreetMap
B Herfort, S Lautenbach… - Nature …, 2023 - nature.com
OpenStreetMap (OSM) has evolved as a popular dataset for global urban analyses, such as
assessing progress towards the Sustainable Development Goals. However, many analyses …
assessing progress towards the Sustainable Development Goals. However, many analyses …
BuildMapper: A fully learnable framework for vectorized building contour extraction
Deep learning based methods have significantly boosted the study of automatic building
extraction from remote sensing images. However, delineating vectorized and regular …
extraction from remote sensing images. However, delineating vectorized and regular …
Assessing OSM building completeness for almost 13,000 cities globally
Q Zhou, Y Zhang, K Chang… - International Journal of …, 2022 - Taylor & Francis
OpenStreetMap (OSM) is an essential source for acquiring building data, although such data
may suffer from quality issues. Many studies have focused on assessing OSM building data …
may suffer from quality issues. Many studies have focused on assessing OSM building data …
A Review of Building Extraction from Remote Sensing Imagery: Geometrical Structures and Semantic Attributes
In the remote sensing community, extracting buildings from remote sensing imagery has
triggered great interest. While many studies have been conducted, a comprehensive review …
triggered great interest. While many studies have been conducted, a comprehensive review …
Differences between gridded population data impact measures of geographic access to healthcare in sub-Saharan Africa
Background Access to healthcare is imperative to health equity and well-being. Geographic
access to healthcare can be modeled using spatial datasets on local context, together with …
access to healthcare can be modeled using spatial datasets on local context, together with …
The missing millions in maps: exploring causes of uncertainties in global gridded population datasets
Gridded population datasets model the population at a relatively high spatial and temporal
granularity by reallocating official population data from irregular administrative units to …
granularity by reallocating official population data from irregular administrative units to …
Auditing geospatial datasets for biases: using global building datasets for disaster risk management
CM Gevaert, T Buunk… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
The presence of biases has been demonstrated in a wide range of machine learning
applications; however, it is not yet widespread in the case of geospatial datasets. This study …
applications; however, it is not yet widespread in the case of geospatial datasets. This study …
From lines to Polygons: Polygonal building contour extraction from High-Resolution remote sensing imagery
Automated extraction of polygonal building contours from high-resolution remote sensing
images is important for various applications. However, it remains a difficult task to achieve …
images is important for various applications. However, it remains a difficult task to achieve …
[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 …
[HTML][HTML] Small area population denominators for improved disease surveillance and response
AJ Tatem - Epidemics, 2022 - Elsevier
The Covid-19 pandemic has highlighted the value of strong surveillance systems in
supporting our abilities to respond rapidly and effectively in mitigating the impacts of …
supporting our abilities to respond rapidly and effectively in mitigating the impacts of …