Large-scale land use by remote sensing 2011: Department of Drôme

Attention: only the floor cover is processed in this delivery. The data recipe has not been carried out, this lot is still to be considered as a test batch to be improved. CEREMA worked in 2013, as part of an exploratory study for the DREAL Rhônes Alpes, the DRAAF Rhône-Alpes and the Regional Council of'Auvergne-Rhône-Alpes (Région Auvergne-Rhône-Alpes) on the semi-automatic implementation of'a layer of #x27; top-level land use on 3 test territories from #x27; satellite images. The objective of the method is to help the departments in charge of planning territories to calculate the quantified indicators characterising the land use and its evolution in order to meet the regulatory requirements in this area. The method of constructing the layer consists of combining an automatic extraction of 'information from satellite images (supervised classifications) and post-processed information from existing databases (BD Topo, RPG...). If the construction process differs from the l'IGN process for setting up the future Large Scale OCS layer, and if the layer specifications are less ambitious, the goal is to have a layer consistent with the national benchmark: compatible nomenclature, use of the same structural skeleton of the territory, same minimum collection unit etc. The interest of such data lies in the following points: — temporal homogeneity of the source information (the satellite images used — Images RapidEye at 5 m of resolutions from the GEOSUD programme) are acquired on the national territory within a few months of #x27; interval; — possibility of annual updating, due to the annual update of national satellite coverage, and the use of automated processes; — limited costs (satellite images are available free of charge to institutional users, and the automation of processes reduces the human time required for photo-interpretation methods, for example); — response to a first level of needs (zero status of the " natural structure; urban reinforcement, quantification of the distribution of urban or natural areas, quantification of the quantification of the distribution of urban or natural areas, the effectiveness of different measures of #x27; development taken, etc...) It is presented in 7 soil cover classes: Anthropogenic Surfaces, Transport Infrastructures, Nude Soils, Water Surfaces, Eternal Snows and Glaciers, Woody Vegetation and Non-wood Vegetation. The product is delivered in vector format with a minimum collection unit (UMC, size of the smallest polygons) of 500 m². This passage from #x27; a resolution image 5 m to a UMC 500 m² implies a generalisation of the geometry of the objects represented which is particularly noticeable on the linear elements of the landscape (discontinuity of the road network in particular). When available, it is also specified in a 25 m² raster layer. It is divided into 6 classes: Agriculture, Mines and Quarries, Secondary, Tertiary or Residential Production, Routier, Ferré, Air. The product is delivered by department, according to the footprint defined in the CARTO® BD (ongoing homogenisation, the Drôme department having been delivered on the GEOFLA® footprint). __Origin__ Teledetection from #x27; Rapideyes 2011 images + input of exogenous data BDTopo, Wine Case, RPG, land files. The method of constructing the layer consists of combining automatic extraction of 'information from satellite images (supervised classifications on 2011 Rapideye image) and post-processed information from existing databases (BD Topo®, RPG, Wine Case...). This result is a relatively raw output from the remote sensing process. Additional corrections are made in order to minimise the local errors that the automatic process generates, as well as to enrich the nomenclature. It would be very useful for us to have feedback & users " of that layer. Is this type of product relevant to your land use characterisation needs? What are the essential/priority improvements to the outcome? How could this type of approach be integrated into your ongoing work? Indeed, the establishment of regional coverage is underway. Your feedback will allow us to guide the methodology in order to best meet the needs. This work has benefited from the help of the State managed by the State; Agence Nationale de la Recherche under the Programme Investissements d’'Avenir for the EQUIPEX GEOSUD project with reference ANR-10-EQPX-20 and d' a grant from the Auvergne-Rhône-Alpes region. __Partner organisations__ CEREMA, Direction Régionale de l’Environnement de l’Auverment et du logement d'Auvergne-Rhône-Alpes (DREAL Auvergne-Rhône-Alpes) __Links annexes__ * [basketDownloadFrontalParametrage](https://catalogue.datara.gouv.fr/geosource/panierDownloadFrontalParametrage?LAYERIDTS=51942) [See this page on geo.data.gouv.fr](https://geo.data.gouv.fr/fr/datasets/253dd4bf85a042bef52dd9bd95d0446ca66b32e7)