Skip to Main content Skip to Navigation
Theses

Apport des images satellites à très haute résolution spatiale couplées à des données géographiques multi-sources pour l’analyse des espaces urbains

Abstract : Climate change presents cities with significant environmental challenges. Urban planners need decision-making tools and a better knowledge of their territory. One objective is to better understand the link between the grey and the green infrastructures in order to analyse and represent them. The second objective is to propose a methodology to map the urban structure at urban fabric scale taking into account the grey and green infrastructures. In current databases, vegetation is not mapped in an exhaustive way. Therefore the first step is to extract tree and grass vegetation using Pléiades satellite images using an object-based image analysis and an active learning classification. Based on those classifications and multi-sources data, an approach based on knowledge discovery in databases is proposed. It is focused on set of indicators mostly coming from urbanism and landscape ecology. The methodology is built on Strasbourg and applied on Rennes to validate and check its reproducibility.
Complete list of metadatas

https://tel.archives-ouvertes.fr/tel-01685776
Contributor : Abes Star :  Contact
Submitted on : Tuesday, January 16, 2018 - 4:56:10 PM
Last modification on : Friday, February 1, 2019 - 3:09:02 AM
Long-term archiving on: : Sunday, May 6, 2018 - 7:47:04 AM

File

rougier_simon_2016_ED413.pdf
Version validated by the jury (STAR)

Identifiers

  • HAL Id : tel-01685776, version 1

Collections

Citation

Simon Rougier. Apport des images satellites à très haute résolution spatiale couplées à des données géographiques multi-sources pour l’analyse des espaces urbains. Architecture, aménagement de l'espace. Université de Strasbourg, 2016. Français. ⟨NNT : 2016STRAH019⟩. ⟨tel-01685776⟩

Share

Metrics

Record views

235

Files downloads

143