environment
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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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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).
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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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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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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. 2 sampling campaigns (spring and autumn) for benthic macroinvertebrates (bmi) have been carried out since September 2014. During each campaign, 2 sampling protocols are implemented: - in accordance with standard NF T90-333, which enables the calculation of the IBG-DCE and I2M2 (‘SURBER’) - via artificial substrates immersed for 1 month (‘SUBART’), in order to focus on measuring the ‘effect of dams’. 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 details the benthic macroinvertebrate taxa and their abundance obtained after analysis (according to standard NF T90-388). These data are distributed by campaign and by sector. Taxa presenting all the morphological criteria clearly visible and characteristic allowing the exactitude of their determination and an irreproachable state of conservation are integrated into the reference collection of the Sélune Observatory. This collection can be consulted on request (see contact point). Taxon determination is based on version v17 of the TAXREF reference.
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Cette carte est issue de travaux de recherche menés dans le cadre du projet GABIR (Gestion Agricole des Biomasses à l’échelle de l’Ile de la Réunion). Elle a été produite en utilisant une mosaïque d'images Spot6/7 pour calculer la segmentation (extraction d'objets homogènes à partir de l'image). Nous utilisons une base de données terrain ayant une nomenclature emboitée avec 3 niveaux de précision nous permettant de produire une classification par niveau. Le niveau 3, le plus détaillé distinguant les types de cultures présente une précision globale de 86% et un indice de Kappa est de 0,85. Le niveau 2, distinguant les groupes de cultures présente une précision globale de 91% et un indice de Kappa est de 0,90. Le niveau 1, distinguant les grands groupes d'occupation du sol présente une précision globale de 97% et un indice de Kappa est de 0,95. (2019-06-12) La précision globale de la carte est de 88,71 % et l'indice de Kappa est de 86,47%. La chaine Moringa est mise au point au sein du CES Occupation des Sols du pôle THEIA pour cartographier l’occupation du sol dans les contextes variés des pays du Sud. Afin d’être plus facilement reproductible, elle est automatisée et son implémentation est réalisée avec des outils libres (Orfeo Toolbox, R, Python). (2019-03-26)
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La zone d'étude se situe au nord ouest du Sénégal et s'étale sur 5 100km². Elle inclue la ville de Thiès et une partie de la ville de Dakar, et remonte jusqu'à Kébémer, aux portes du désert de Loumpoul. La carte d'occupation 2018 a été réalisée à partir d'une image à Très Haute Résolution Spatiale (THRS) à 1.5m Spot6 acquise le 15/10/2010 et une série temporelle d'images Sentinel2 (résolution 10m) acquises entre le 01/01/2018 et le 31/12/2018. Le traitement a été réalisé via la chaine de traitement Moringa développée dans l'UMR TETIS. La méthodologie s'appuie sur une Segmentation Orientée Objet de l'image THRS puis d'une classification de chaque polygone (algorithme Random Forest) s'appuyant sur l'image SPOT6, la série temporelle Sentinel2, le SRTM à 30m et de nombreux indices calculés à partir de ces images (NDVI, indices de texture, pente,...). L’algorithme a été entrainé via un jeu de données acquises sur le terrain complété de données obtenues par photo-interprétation. Des corrections manuelles par photo-interprétation ont été réalisées afin d'améliorer le résultat. La précision globale est de 93%. La classification contient 13 classes d'occupation du sol : culture irriguée hors bas-fond, culture irriguée de bas-fond, culture pluviale, plantation, dune sable - arbustes, eau, savane arbustive, savane herbacée, sol nu, sol inondable, sol faiblement végétalisé, végétation naturelle dense et zone urbaine.
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Ce jeu de données concerne les cartes produites, pour l'année 2019, en utilisant une mosaïque d'images Spot6/7 pour calculer la segmentation (extraction d'objets homogènes à partir de l'image). Nous utilisons une base de données terrain ayant une nomenclature emboitée avec 3 niveaux de précision nous permettant de produire une classification par niveau. Le niveau le plus détaillé distinguant les types de cultures présente une précision globale de 88% et un indice de Kappa est de 0,86. Le niveau 2, distinguant les groupes de cultures présente une précision globale de 92% et un indice de Kappa est de 0,93. Le niveau 1, distinguant les grands groupes d'occupation du sol présente une précision globale de 97% et un indice de Kappa est de 0,95. Une fiche détaillée présentant la méthode et les résultats de validation est téléchargeable (2020-04-30)