Machine learning and remote sensing integration for leveraging urban sustainability: A review and framework

Climate change and rapid urbanisation exacerbated multiple urban issues threatening urban sustainability. Numerous studies integrated machine learning and remote sensing to monitor urban issues and develop mitigation strategies for sustainability. However, few studies comparatively analysed joint applications of machine learning and remote sensing for urban issues and sustainability. This paper presents a systematic review and formulates a framework integrating machine learning and remote sensing in urban studies. The literature analysis reveals: Most studies occurred in Asia, Europe, and North America, driven by technical and ethical factors, highlighting responsible approaches for data-scarce regions;…

• AR
  Australian Research Council