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 …
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 …
[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 …
[HTML][HTML] Slums from space—15 years of slum mapping using remote sensing
The body of scientific literature on slum mapping 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 …
[HTML][HTML] Deep learning segmentation and classification for urban village using a worldview satellite image based on U-Net
Z Pan, J Xu, Y Guo, Y Hu, G Wang - Remote Sensing, 2020 - mdpi.com
Unplanned urban settlements exist worldwide. The geospatial information of these areas is
critical for urban management and reconstruction planning but usually unavailable …
critical for urban management and reconstruction planning but usually unavailable …
Deep fully convolutional networks for the detection of informal settlements in VHR images
C Persello, A Stein - IEEE geoscience and remote sensing …, 2017 - ieeexplore.ieee.org
This letter investigates fully convolutional networks (FCNs) for the detection of informal
settlements in very high resolution (VHR) satellite images. Informal settlements or slums are …
settlements in very high resolution (VHR) satellite images. Informal settlements or slums are …
[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 …
[HTML][HTML] A critical review of high and very high-resolution remote sensing approaches for detecting and mapping slums: Trends, challenges and emerging …
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 …
[HTML][HTML] The temporal dynamics of slums employing a CNN-based change detection approach
R Liu, M Kuffer, C Persello - Remote sensing, 2019 - mdpi.com
Along with rapid urbanization, the growth and persistence of slums is a global challenge.
While remote sensing imagery is increasingly used for producing slum maps, only a few …
While remote sensing imagery is increasingly used for producing slum maps, only a few …