Large-scale land use by teledetection 2011: Department of Haute-Savoie

Open data API in a single place

Provided by etalab

Get early access to Large-scale land use by teledetection 2011: Department of Haute-Savoie API!

Let us know and we will figure it out for you.

Dataset information

Country of origin
Updated
2021.01.21 16:06
Created
2021.01.21
Available languages
French
Keywords
imagery-base-maps-earth-cover, dreal-auvergne-rhone-alpes, usage-des-sols, rhone-alpes, passerelle-inspire, occupation-du-sol, specification-regionale, donnees-ouvertes
Quality scoring
115

Dataset description

Please note: only the floor cover is treated in this delivery. It is the land cover of the department of Haute-Savoie. CEREMA worked in 2013 as part of an exploratory study for DREAL Rhône Alpes, DRAAF Rhône-Alpes and the Regional Council of Auvergne-Rhône-Alpes (Region Auvergne-Rhône-Alpes) on the semi-automatic implementation of a layer of first-level land use in 3 test territories from satellite images. The objective of the method is to assist the services in charge of territorial planning in calculating the quantified indicators characterising land use and its evolution in order to meet the regulatory requirements for land use. The method of layer construction consists of combining 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 the implementation of the future OCS Grande Scale layer, and if the specification of the layer is less ambitious, the objective 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 source information (the satellite images used — RapidEye images at 5 m of GEOSUD resolutions) are acquired on the national territory within a few months of the interval; — possibility of annual update, due to the annual update of the national satellite coverage, and the use of automated processes; — limited costs (satellite images are available free of charge to institutional users, and process automation reduces human time for photo-interpretation methods for example); — response to a first level of needs (zero state of the " natural carpent " and "l " urban reinforcement ", quantification of the distribution of urban or natural areas, quantification of the effectiveness of different management measures taken, etc.) It is presented in 7 soil cover classes: Anthropogenic surfaces, Transportation infrastructure, bare soils, Water surfaces, Eternal Snows and Glacier, 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 an UMC 500 m² implies a generalisation of the geometry of the objects represented, which is particularly noticeable on the linear elements of the landscape (mainly discontinuity of the road network). When available, the usage information is also specified in a raster layer at 25 m². It is divided into 6 classes: Agriculture, Mines and quarries, Secondary production, Tertary or residential use, Road, Ferré, Aérien. The product is delivered by department, according to the right-of-way defined in the CARTO® BD. __Origine__ Teletection from Rapideyes 2011 images + input of exogenous data BDTopo, wine locker, RPG, land files. The method of layer construction consists of combining an automatic extraction of information from satellite images (supervised classifications on 2011 Rapideye image) and post-processed information from existing databases (BD Topo®, RPG, wine cellar, etc.).This result is a relatively raw output of the teledetection process. Additional corrections are made in order to minimise local errors caused by the automatic process, as well as to enrich the nomenclature. It would be very useful for us to have " user " returns from that diaper. Is this type of product relevant to your land use characterisation needs? What are the necessary/priority improvements to the outcome? How could this type of approach be integrated into your ongoing work? Indeed, the establishment of regional coverage is under way. Your feedback will allow us to orient the methodology in order to best meet the needs. This work has benefited from State assistance managed by the National Research Agency under the Future Investment Program for the EQUIPEX GEOSUD project with reference ANR-10-EQPX-20 and a grant from the Auvergne-Rhône-Alpes region. __ Partner Organisations__ CEREMA, Regional Directorate for the Environment of the Planning and Housing of Auvergne-Rhône-Alpes (DREAL Auvergne-Rhône-Alpes) __Links annexes__ * [boxDownloadFrontalParametrage](https://catalogue.datara.gouv.fr/geosource/panierDownloadFrontalParametrage?LAYERIDTS=12696708) [See this sheet on geo.data.gouv.fr](https://geo.data.gouv.fr/fr/datasets/5840dfab2fb7d0be19bb0e30b3669343a0f702b2)
Build on reliable and scalable technology
Revolgy LogoAmazon Web Services LogoGoogle Cloud Logo
FAQ

Frequently Asked Questions

Some basic informations about API Store ®.

Operation and development of APIs are currently fully funded by company Apitalks and its usage is for free.
Yes, you can.
All important information such as time of last update, license and other information are in response of each API call.
In case of major update that would not be compatible with previous version of API, we keep for 30 days both versions so you will have enough time to transfer to new version. We will inform you about the changes in advance by e-mail.

Didn't find the API you need?

Let us know and we will figure it out for you.

API Store provides access to European Open Data via scalable and reliable REST API interface.
Copyright © 2024. Made with ♥ by Apitalks