Using satellite imagery to understand and promote sustainable development
BACKGROUND Accurate and comprehensive measurements of a range of sustainable
development outcomes are fundamental inputs into both research and policy. For instance …
development outcomes are fundamental inputs into both research and policy. For instance …
Deep learning and earth observation to support the sustainable development goals: Current approaches, open challenges, and future opportunities
The synergistic combination of deep learning (DL) models and Earth observation (EO)
promises significant advances to support the Sustainable Development Goals (SDGs). New …
promises significant advances to support the Sustainable Development Goals (SDGs). New …
[HTML][HTML] Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks
Unprecedented urbanization in particular in countries of the global south result in informal
urban development processes, especially in mega cities. With an estimated 1 billion slum …
urban development processes, especially in mega cities. With an estimated 1 billion slum …
[BOOK][B] Lifelines: The resilient infrastructure opportunity
Infrastructure—electricity, telecommunications, roads, water, and sanitation—are central to
people's lives. Without it, they cannot make a living, stay healthy, and maintain a good …
people's lives. Without it, they cannot make a living, stay healthy, and maintain a good …
Slums from space—15 years of slum map** using remote sensing
The body of scientific literature on slum map** employing remote sensing methods has
increased since the availability of more very-high-resolution (VHR) sensors. This improves …
increased since the availability of more very-high-resolution (VHR) sensors. This improves …
Spatially disaggregated population estimates in the absence of national population and housing census data
Population numbers at local levels are fundamental data for many applications, including
the delivery and planning of services, election preparation, and response to disasters. In …
the delivery and planning of services, election preparation, and response to disasters. In …
[HTML][HTML] EO+ Morphometrics: Understanding cities through urban morphology at large scale
Earth Observation (EO)-based map** of cities has great potential to detect patterns
beyond the physical ones. However, EO combined with the surge of machine learning …
beyond the physical ones. However, EO combined with the surge of machine learning …
[HTML][HTML] The morphology of the Arrival City-A global categorization based on literature surveys and remotely sensed data
When we think about living environments of the urban poor, slums might be the most
immediate association. These slums evoke a more or less stereotype impression of built …
immediate association. These slums evoke a more or less stereotype impression of built …
Poverty from space: Using high resolution satellite imagery for estimating economic well-being
Can features extracted from high spatial resolution satellite imagery accurately estimate
poverty and economic well-being? The present study investigates this question by extracting …
poverty and economic well-being? The present study investigates this question by extracting …
A critical review of high and very high-resolution remote sensing approaches for detecting and map** slums: Trends, challenges and emerging opportunities
Slums are a global urban challenge, with less developed countries being particularly
impacted. To adequately detect and map them, data is needed on their location, spatial …
impacted. To adequately detect and map them, data is needed on their location, spatial …