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] Integrating remote sensing and geospatial big data for urban land use mapping: A review
Remote Sensing (RS) has been used in urban mapping for a long time; however, the
complexity and diversity of urban functional patterns are difficult to be captured by RS only …
complexity and diversity of urban functional patterns are difficult to be captured by RS only …
Understanding an urbanizing planet: Strategic directions for remote sensing
Scientific contributions from remote sensing over the last fifty years have significantly
advanced our understanding of urban areas. Key contributions of urban remote sensing …
advanced our understanding of urban areas. Key contributions of urban remote sensing …
[HTML][HTML] Crowding has consequences: Prevention and management of COVID-19 in informal urban settlements
COVID-19 spreads via aerosols, droplets, fomites and faeces. The built environment that
facilitates crowding increases exposure and hence transmission of COVID-19 as evidenced …
facilitates crowding increases exposure and hence transmission of COVID-19 as evidenced …
[PDF][PDF] Poverty, livelihoods and sustainable development
Adverse impacts of climate change, development deficits and inequality exacerbate each
other. Existing vulnerabilities and inequalities intensify with adverse impacts of climate …
other. Existing vulnerabilities and inequalities intensify with adverse impacts of climate …
[HTML][HTML] Towards a morphogenesis of informal settlements
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 …
global South, yet little is known of how informal urban design works as a production of urban …
[HTML][HTML] Urban waterlogging risk as an undervalued environmental challenge: An Integrated MCDA-GIS based modeling approach
In the last few decades, rainfall-induced urban waterlogging has become a significant
environmental barrier and acquired global prominence worldwide due to its frequent threat …
environmental barrier and acquired global prominence worldwide due to its frequent threat …
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 …