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Conference papers

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
Abstract : 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
Document type :
Conference papers
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https://hal-amu.archives-ouvertes.fr/hal-03183746
Contributor : Sébastien GADAL Connect in order to contact the contributor
Submitted on : Sunday, March 28, 2021 - 8:25:00 PM
Last modification on : Thursday, August 4, 2022 - 4:54:00 PM

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Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives 4.0 International License

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  • HAL Id : hal-03183746, version 1

Collections

UNIV-AVIGNON | CNRS | UNIV-AMU | ESPACE | TDS-MACS | UNIV-COTEDAZUR | ESPACE_AIX-EN-PROVENCE | ANR

Citation

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⟩

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