Prelocalisation of probable wetlands in Maine-et-Loire

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Dataset information

Country of origin
Updated
2021.01.15 06:38
Created
2019.10.15
Available languages
French
Keywords
environment, milieux-naturels, passerelle-inspire, donnees-ouvertes, open-data, grand-public, maine-et-loire, habitats-et-biotopes, dreal
Quality scoring
145

Dataset description

Pre-location corresponds to the identification of probable marshes and wetlands. It consisted of visual prospecting on orthophotoplanes throughout the territory to locate all sites likely to be related to a wetland. __Origin__ This photo-interpretation pre-location work was carried out with the software GIS (Geographic Information System) MapInfo.L'S & #x27 analysis;is based on the following available data: the aerial photo (BD ORTHO), the relief (Digital Terrain Model), the hydrographic network, the geological map.L' identification of ' a probable wetland is made by observations of color and texture of aerial photographic images, coupled with the other data for their interpretation.The contour of the identified areas is drawn and the tables identifying the #x27; object are completed (index corresponding to the typology of the ZH and a confidence index).The pre-location s' is carried out in 4 phases: a setting of l'interpretation, the entry on the whole territory, carried out on the ORTHO BD, the synthesis of the results. Pre-localisation is therefore not intended to replace or be assimilated to the procedures of ' inventories, which s' support systematic field recognitions. <b>Items of the data awarded:</b> Type of wetland (type_zh): 1: Body of water 2: People 3: Culture in continuity of several ZH 4: Wet meadow 5: Wasteland and Megaphorbia 6: Wood in continuity of several ZH 7: rosemary 8: vase, schorre 9: marshes 10: anthropogenic areas, technical basins, drained areas Reliability of the digitisation of the wetland (ind_conf): 1: high reliability 2: average reliability 3: poor topographic situation 4: bad facies but logical situation __Partner organisations__ DREAL Pays de la Loire [See this page on geo.data.gouv.fr](https://geo.data.gouv.fr/fr/datasets/4a2f7171535db5830f4b927bb91c626df78c7cbd)
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