Remote Sensing for Urban Planning

Sébastien Gadal (1, 2, 3)

1 AMU - Aix Marseille Université
2 ESPACE - Études des Structures, des Processus d’Adaptation et des Changements de l’Espace
3 North-Eastern Federal University

The lecture note presents the last advances in the use of remote sensing for urban planning.

Keywords: Remote Sensing; Urban Planning; Hyperspectral imagery; High Temporal Spatial Urban Monitoring; Very High Spatial Resolution; Machine Learning; Deep Learning; Artificial Intelligence; Man-Made Object Databases; Natural Object Databases; Predictive Modelling; Urban simulation; Land Use Conflitcts; Risk Exposure Modelling

Domains: Computer Science [cs]; Image Processing [eess.IV]; Humanities and Social Sciences; Methods and statistics; Environmental Sciences; Environmental and Society; Humanities and Social Sciences; Geography; Computer Science [cs]; Modeling and Simulation

Sébastien Gadal. Remote Sensing for Urban Planning. Virtual Global Faculty Week 2021, Kaunas University of Technology, Mar 2021, Kaunas University of Technology, Lithuania. ⟨hal-03183746⟩