Multi-scale methodology to map grey and green structures in urban areas using Pléiades images and existing geographic data

Revue Française de Photogrammétrie et de Télédétection

Emilie Hanson¹  Eléonore Wolff¹  Omar Benarchid¹  Léo Vétillard²  Jean Nabucet³  Laurence Hubert-Moy³  Simon Rougier⁴  Julien Deniau⁴  Anne Puissant⁵ 

[1] IGEAT, Université Libre de Bruxelles;LETG-Rennes COSTEL UMR CNRS 6554, Université Rennes 2,;LETG-Rennes COSTEL UMR CNRS 6554, Université Rennes;LIVE UMR CNRS 7362, Université de Strasbourg;Université de Strasbourg - Laboratoire LIVE;

关键词: morphologie urbaine;    imagerie Pléiades;    Données urban structure;    Pleiades imagery;    ancillary data;    object-based image classification;   

DOI  :  10.52638/rfpt.2015.237

来源: DOAJ

【 摘 要 】

Identification and monitoring of urban fabric and preservation of existing ecosystems have become major issues to maintain or increase biodiversity in areas under urban influence in most of European cities. While many studies have shown the interest of using optical remotely sensed data for that purpose, a consolidated and reproducible methodological framework was still missing. In this context, a multi-scale methodology has been proposed in the framework of the project VALI-URB to map built-up and vegetated land features in urban and suburban areas based on Pleiades images and existing ancillary data (vector databases or the Open Street Map database). The objective of this paper is to highlight the interest of using land cover/use maps derived from Pleiades images and vector databases to semi-automatically characterize grey and green infrastructures at a scale of 1:10,000. First results are presented on two medium-sized cities with different urban forms: Strasbourg and Rennes (France).

【 授权许可】

Unknown