environment
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synthèse au 1/250 000 de la carte géologique du Massif armoricain
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As part of the Sélune observatory, pilot stations have been set up along the main course of the Sélune, distributed from upstream to downstream of the hydroelectric dams. Three stations are located in the former reservoirs of the dams, while the other two, known as the reference stations, are outside the area of influence of the former dams (one downstream and the other upstream). Aquatic biocenoses (including benthic macroinvertebrates, biofilms, macrophytes, etc.) are monitored at these stations. At each of these stations, benthic macroinvertebrates (bmi) have been sampled regularly, in spring and autumn, since September 2014 and in accordance with standard NF T 90-333. The fauna inventories obtained after determination can thus be used to calculate biotic indices such as the IBG-DCE and the I2M2. In addition, samples were taken using artificial substrates immersed for 1 month, in order to focus on measuring the "dam effect". The protocol is described in: Piscart C., Moreteau, J.C., Beisel J.N. (2006). Monitoring changes in freshwater macroinvertebrate communities along a salinity gradient using artificial substrates. Environmental Monitoring and Assessment 116: 529-542. This layer gives the locations of these stations.
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The spawning grounds of the sea lamprey Petromyzon marinus are located within the perimeter of the Sélune Observatory. As this species is migratory, its colonisation of the Sélune river and its tributaries will probably be influenced by the removal of the Sélune dams. The spawning grounds are characterised by a depression accompanied by a sediment ejection dome immediately downstream. The stones returned to the dome are lighter, making the nests easily visible and identifiable for up to several weeks after spawning.
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Hyperspectral data were obtained during an acquisition campaign led on Toulouse (France) urban area on July 2015 using Hyspex instrument which provides 408 spectral bands spread over 0.4 – 2.5 μ. Flight altitude lead to 2 m spatial resolution images. Supervised SVN classification results for 600 urban trees according to a 3 level nomenclature: leaf type (5 classes), family (12 and 19 classes) and species (14 and 27 classes). The number of classes differ for the two latter as they depend on the minimum number of individuals considered (4 and 10 individuals per class respectively). Trees positions have been acquired using differential GPS and are given with centimetric to decimetric precision. A randomly selected subset of these trees has been used to train machine SVM and Random Forest classification algorithms. Those algorithms were applied to hyperspectral images using a number of classes for family (12 and 19 classes) and species (14 and 27 classes) levels defined according to the minimum number of individuals considered during training/validation process (4 and 10 individuals per class, respectively). Global classification precision for several training subsets is given by Brabant et al, 2019 (https://www.mdpi.com/470202) in terms of averaged overall accuracy (AOA) and averaged kappa index of agreement (AKIA).
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The map described here was produced as part of the Resilient Productive Territories (RPT) project. This project is funded by the World Bank. Reference of the database used to produce these maps: Dupuy, Stéphane; Lelong, Camille; Manasse, Marie Esther; Rambao, Jery; Mondésir, Jacques Philémon; Gaetano, Raffaele, 2021, "Nippes - Haïti - 2020, Reference Spatial Database", doi:10.18167/DVN1/29RZMQ , CIRAD Dataverse,V1
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Cette carte a été produite dans le cadre de la convention 2010 -- 0190 de l'Agence de l'Eau Rhône Méditerranée et Corse concernant l'optimisation d'une méthode de quantification du rôle des corridors rivulaires sur l'état écologique des cours d'eau.
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Cette carte d'occupation du sol a été obtenue avec la chaîne Moringa mise au point par l’équipe Cirad de l’UMR TETIS. Il s’agit du résultat d’une classification supervisée combinant une mosaïque d’images Spot6/7 acquises en 2021, d’indices de textures calculés à partir de cette image Spot6/7 et de la sérietemporelle des 63 images Sentinel-2 de 2021 . Cette carte a été réalisée avec une base de données d’apprentissage actualisée en 2021. La carte présentée s'appuie sur le 3ème niveau (le plus détaillé), les données attributaires contiennent les niveaux 1 et 2. Les fichiers de style de ces niveaux sont associés à cette carte.
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Hyperspectral ENVI standard simulated images. Spatial and spectral configurations generated correspond to ESA SENTINEL-2 instrument that was lunched on 2015, and HYPXIM sensor which was under study at that time.
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Cette carte a été produite dans le cadre du projet FUI-2012 SIRHYUS (Services d'Information pour la gestion des Ressources HYdriques et de leurs USages) et a bénéficié d'une aide de l'Etat gérée par l'Agence Nationale de la Recherche au titre du Programme Investissements d'Avenir pour le projet EQUIPEX GEOSUD ANR-10-EQPX-20.
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As part of the Sélune observatory, pilot stations have been set up along the main course of the Sélune, distributed from upstream to downstream of the hydroelectric dams. Three stations are located in the former reservoirs of the dams, while the other two, known as the reference stations, are outside the area of influence of the former dams (one downstream and the other upstream). At these stations, aquatic biocenoses (including benthic macroinvertebrates, biofilms, macrophytes, etc.) are monitored. At each of these stations, benthic macroinvertebrates (bmi) have been sampled regularly, in spring and autumn, since September 2014 and in accordance with standard NF T 90-333. The fauna inventories obtained after determination can thus be used to calculate biotic indices such as the IBG-DCE and the I2M2. In addition, samples were taken using artificial substrates immersed for 1 month, in order to focus on measuring the ‘dam effect’. The protocol is described in: Piscart C., Moreteau, J.C., Beisel J.N. (2006). Monitoring changes in freshwater macroinvertebrate communities along a salinity gradient using artificial substrates. Environmental Monitoring and Assessment 116: 529-542. This layer gives the results obtained for the IBG-DCE and I2M2 biotic indices with the associated parameters (diversity, variety, etc.), as well as the number of samples taken (‘effort’ column). Finally, the layer contains the output from the ‘ODInvertebres’ diagnostic tool for benthic invertebrates, which aims to identify the most likely anthropogenic pressures causing changes in ecological quality (6 probability values for physico-chemical water quality and 6 others relating to hydromorphology or land use in the catchment area). Reference on ‘ODInvertebres’ : Mondy, C. P., & Usseglio-Polatera P. Using conditional tree forests and life history traits to assess specific risks of stream degradation under multiple pressure scenario. Science of the Total Environment 461 (2013): 750-760. The genus Baetis cited in the fauna lists refers to the genus ‘Baetis lato sensu’ according to the SANDRE nomenclature (Sandre code: 9794). Taxa presenting all of the clearly visible and characteristic morphological criteria enabling them to be accurately identified and in an irreproachable state of conservation are included in the Observatoire Sélune's reference collection. This can be consulted on request (see point of contact).