Large-scale land use by remote sensing - Franco-Valdo-Genevois test batch

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 (Auvergne-Rhône-Alpes Region) on the implementation semi-automatic of a first level land cover layer on the territory of the SCOT du Rovaltain from satellite images. The objective of the method is to help the services in charge of territorial planning to calculate the quantified indicators characterizing land use and its evolution in order to meet the regulatory requirements in this area. The layer construction method 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 IGN process for setting up the future Large Scale OCS layer, and if the layer specifications are less ambitious, the objective is to have a layer consistent with the national repository. : compatible nomenclature, use of the same structuring skeleton of the territory, same minimal unit of collection etc... The interest of such data lies in the following points: - temporal homogeneity of the source information (the satellite images used - RapidEye images at 5m of resolutions from the GEOSUD program) are acquired on national territory a few months apart; - possibility of annual updating, due to the annual updating of national satellite coverage, and the use of automated processes; - limited costs (satellite images are available free of charge for 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 state of the "natural framework" and "urban framework", quantification of the distribution of urban or natural surfaces, quantification of the effectiveness of various development measures taken, etc. ...) It is divided into 7 classes of ground cover: Man-made surfaces, Transport infrastructures, Bare soils, Water surfaces, Eternal snow and glaciers, Woody vegetation and Non-woody vegetation. The product is delivered in vector format with a minimum collection unit (UMC, size of the smallest polygons) of 500 m². This transition from a 5 m resolution image to a 500 m² UMC implies a generalization of the geometry of the objects represented which is particularly perceptible on the linear elements of the landscape (discontinuity of the road network in particular). When available, usage information is also specified in a raster layer at 25 m². It is divided into 6 classes: Agriculture, Mines and quarries, Secondary production, land or residential use, Road, Rail, Air. The product is delivered by department, according to the area defined in the BD CARTO® (standardization in progress, the department of Drôme having been delivered on the GEOFLA® area).

Data and Resources

Additional Info

Field Value
Last Updated August 24, 2023, 10:31 (UTC)
Created August 24, 2023, 10:31 (UTC)
GUID cebfbb28-7104-4c8d-ae9e-aea228c62683
access_constraints []
bbox-east-long 5.3163906249880215
bbox-north-lat 45.2226814690621
bbox-south-lat 44.725275945326146
bbox-west-long 4.657210937579733
contact-email dg.cepe.dreal-rhone-alpes@developpement-durable.gouv.fr
coupled-resource []
dataset-reference-date [{"type": "revision", "value": "2014-12-02T23:35:25"}, {"type": "publication", "value": "2014-01-06T00:00:00"}]
frequency-of-update
harvest_object_id 01fe7578-b711-4522-adfb-3f93c4093383
harvest_source_id bb5b87c8-2656-45e3-ae6c-abcb98266558
harvest_source_title CEREMA
licence []
lineage Téledetection à partir d'images Rapideyes 2011 + apport de données exogènes BDTopo, Casier viticole, RPG, fichiers fonciers. La méthode de construction de la couche consiste à combiner une extraction automatique d'informations à partir d'images satellites (classifications supervisées sur image Rapideye de 2011) et des informations post-traitées de bases de données existantes (BD Topo®, RPG, Casier viticole...).Ce résultat est une sortie relativement brute du processus de télédetection. Des corrections complémentaires sont réalisées afin de minimiser les erreurs locales que le procédé automatique engendre, ainsi que pour enrichir la nomenclature. Il nous serait très utile d'avoir des retours "utilisateurs" de cette couche. Est-ce que ce type de produit est pertinent au regard de vos besoins de caractérisation de l'occupation des sols ? Quelles sont les améliorations indispensables / prioritaires à apporter au résultat? Comment ce type d'approche pourrait s'intégrer dans vos travaux en cours? En effet, la mise en place de la couverture régionale est en cours. Vos retours nous permettrons d'orienter la méthodologie afin de répondre au mieux aux besoins.
metadata-date 2020-12-11T13:32:47
metadata-language fre
progress
resource-type dataset
responsible-party [{"name": "Direction R\u00e9gionale de l\u2019Environnement de l\u2019Am\u00e9nagement et du Logement d'Auvergne-Rh\u00f4ne-Alpes (DREAL Auvergne-Rh\u00f4ne-Alpes)", "roles": [""]}, {"name": "Cerema", "roles": ["originator"]}]
spatial {"type": "Polygon", "coordinates": [[[4.657210937579733, 44.725275945326146], [5.3163906249880215, 44.725275945326146], [5.3163906249880215, 45.2226814690621], [4.657210937579733, 45.2226814690621], [4.657210937579733, 44.725275945326146]]]}
spatial-data-service-type
spatial-reference-system RGF93 / Lambert-93 (EPSG:2154)
spatial_harvester true