Using satellite imagery to understand and promote sustainable development

M Burke, A Driscoll, DB Lobell, S Ermon - Science, 2021 - science.org
BACKGROUND Accurate and comprehensive measurements of a range of sustainable
development outcomes are fundamental inputs into both research and policy. For instance …

Machine learning algorithms for urban land use planning: A review

V Chaturvedi, WT de Vries - Urban Science, 2021 - mdpi.com
Urbanization is persistent globally and has increasingly significant spatial and
environmental consequences. It is especially challenging in develo** countries due to the …

A spatial-temporal attention-based method and a new dataset for remote sensing image change detection

H Chen, Z Shi - Remote Sensing, 2020 - mdpi.com
Remote sensing image change detection (CD) is done to identify desired significant
changes between bitemporal images. Given two co-registered images taken at different …

[HTML][HTML] Towards a morphogenesis of informal settlements

K Dovey, M van Oostrum, I Chatterjee, T Shafique - Habitat International, 2020 - Elsevier
Informal settlement is the most pervasive mode of urbanization throughout cities of the
global South, yet little is known of how informal urban design works as a production of urban …

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 …

[HTML][HTML] “Domains of deprivation framework” for map** slums, informal settlements, and other deprived areas in LMICs to improve urban planning and policy: A …

A Abascal, N Rothwell, A Shonowo… - … , environment and urban …, 2022 - Elsevier
The majority of urban inhabitants in low-and middle-income country (LMIC) cities live in
deprived urban areas. However, policy efforts and the monitoring of global goals and …

A critical review of high and very high-resolution remote sensing approaches for detecting and map** slums: Trends, challenges and emerging opportunities

R Mahabir, A Croitoru, AT Crooks, P Agouris… - Urban Science, 2018 - mdpi.com
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 …

Automatic building extraction on satellite images using Unet and ResNet50

W Alsabhan, T Alotaiby - Computational Intelligence and …, 2022 - Wiley Online Library
Recently, settlement planning and replanning process are becoming the main problem in
rapidly growing cities. Unplanned urban settlements are quite common, especially in low …

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 …

[HTML][HTML] Towards user-driven earth observation-based slum map**

M Owusu, M Kuffer, M Belgiu, T Grippa… - … , environment and urban …, 2021 - Elsevier
Earth observation (EO) capabilities to produce up-to-date geographical information on slums
over large areas supporting urban planning and evidence-based policymaking are largely …