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] Machine learning for spatial analyses in urban areas: a scoping review
The challenges for sustainable cities to protect the environment, ensure economic growth,
and maintain social justice have been widely recognized. Along with the digitization …
and maintain social justice have been widely recognized. Along with the digitization …
Optimizing local climate zones to mitigate urban heat island effect in human settlements
Rapid urbanization has caused radical changes in urban climates. As a result, issues
related to urban thermal environments have become more prominent. Finding a balance …
related to urban thermal environments have become more prominent. Finding a balance …
[HTML][HTML] A graph convolutional neural network for classification of building patterns using spatial vector data
X Yan, T Ai, M Yang, H Yin - ISPRS journal of photogrammetry and remote …, 2019 - Elsevier
Abstract Machine learning methods, specifically, convolutional neural networks (CNNs),
have emerged as an integral part of scientific research in many disciplines. However, these …
have emerged as an integral part of scientific research in many disciplines. However, these …
[HTML][HTML] Reviewing the application of machine learning methods to model urban form indicators in planning decision support systems: Potential, issues and …
Modern cities dynamically face several challenges including digitalization, sustainability,
resilience and economic development. Urban planners and designers must develop urban …
resilience and economic development. Urban planners and designers must develop urban …
[HTML][HTML] Spatial Signatures-Understanding (urban) spaces through form and function
D Arribas-Bel, M Fleischmann - Habitat International, 2022 - Elsevier
This paper presents the notion of spatial signatures as a characterisation of space based on
form and function designed to understand urban environments. The spatial configuration of …
form and function designed to understand urban environments. The spatial configuration of …
The role of earth observation in an integrated deprived area mapping “system” for low-to-middle income countries
Urbanization in the global South has been accompanied by the proliferation of vast informal
and marginalized urban areas that lack access to essential services and infrastructure. UN …
and marginalized urban areas that lack access to essential services and infrastructure. UN …
Machine learning-based slum mapping in support of slum upgrading programs: The case of Bandung City, Indonesia
The survey-based slum mapping (SBSM) program conducted by the Indonesian government
to reach the national target of “cities without slums” by 2019 shows mapping inconsistencies …
to reach the national target of “cities without slums” by 2019 shows mapping inconsistencies …
Artificial intelligence based methods for smart and sustainable urban planning: a systematic survey
The world's cities are facing various challenges such as rapid urbanization, poverty, climate
change, pollution, sustainable and inclusive development. Building futuristic smart and …
change, pollution, sustainable and inclusive development. Building futuristic smart and …
Classifying settlement types from multi-scale spatial patterns of building footprints
WC Jochem, DR Leasure, O Pannell… - … and Planning B …, 2021 - journals.sagepub.com
Urban settlements and urbanised populations continue to grow rapidly and much of this
transition is occurring in less developed countries. Remote sensing techniques are now …
transition is occurring in less developed countries. Remote sensing techniques are now …