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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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Cette donnée raster résulte d'une classification par méthode d'apprentissage profond à partir d'imagerie très haute résolution spatiale (1.5m) SPOT 6/7. Des post-traitements ont été effectués afin de mieux caractériser les classes relatives à l'artificialisation.
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Objectif : Estimer l’abondance relative de micromammifères et leur portage pour certains agents pathogènes transmis par les tiques dans la Zone Atelier Armorique dans le cadre du programme de recherche OSCAR (Outil de Simulation Cartographique à l’échelle du paysage Agricole du Risque acarologique – 2012-2015). Protocole : Pose de 34 pièges INRA sur vingt-quatre lignes de 100 mètres placéesdans différents types de paysage (forêt, lisière de forêt, bocage ouvert et dense le long de lisières de bois ou de haies) puis relevés à 24 et 48heures. Les animaux piégés ont subi une prise de sang puis ont été sacrifiés pour réaliser par la suite des analyses moléculaires sur différentsorganes (détection de Borreliaburgdoreferisl.,Anaplasmaphagocytophylum et Babesiamicroti). Article de référence : Michel, N., F. Burel, and A. Butet. 2006. How does landscape use influence small mammal diversity, abundance and biomass in hedgerow networks of farming landscapes? Acta Oecologica 30:11–20. 10.1016/j.actao.2005.12.006
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Macrophytes are a group of aquatic plants. They are at the base of the food chain and can provide a habitat for many other species. The relative abundance of different species is used to calculate an environmental quality index (IBMR). 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 reference stations, are outside the area of influence of the former dams (one downstream, the other upstream). At these stations, aquatic biocenoses (including benthic macroinvertebrates, biofilms, macrophytes, etc.) are monitored. The parameters monitored are specific composition and cover, at 8 stations in the main course, located upstream, downstream and in neolotic areas of macrophyte communities. The monitoring frequency consists of one annual campaign for stations outside reservoirs (S0, S1 and S5) and two annual campaigns (spring/autumn) for neolotic stations (S2, S3.4, S4.1 and S6). The protocol used is the sampling protocol for macrophytes and bryophytes in accordance with standard NF T90-395 (October 2003), which defines the IBMR. Taxa are sampled for laboratory identification. This layer gives the value of the IBMR and EQR (normalized) index at a station for a campaign, as well as information concerning the robustness of this index, the quantities of taxa used to calculate these indices and also information in terms of the proportion of major floristic groups (heterotrophs, algae, bryophytes, pteridophytes, helophytes, phanerogrames, floating vegetation and submerged vegetation).
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[résumé à traduire en anglais] Jeu de données (observations, prélèvements et analyses) sur les bois flottés, issus de la campagne de terrain de 2018 sur le site n°16, South Aulatsivik (HdCi_20). Les observations et les prélèvements (tranches/galettes de bois) sont organisés selon des quadrats [protocole à compléter si nécessaire]; la liste des points définissant ces quadrats se trouve dans le fichier 'Note_terrain_Nain_2018.xls'; ainsi que la liste des bois (échantillons) 'Récolte driftwood selon quadrats'. [localisations géographiques à revoir avec resp. projet]. Observations: volume, forme, état de conservation, photographies [à revoir avec resp. projet]. Prélèvements: a priori 111 échantillons 'bois' ('Driftwood'), plus quelques (3?) 'Old Driftwood' [à vérifier, carnet de terrain]; localisés au Canada. Analyses prévues: identification taxonomique, dendrochronologie, géochimie, C14 (pour les 'VDR'), [...]. [Mots-clés à compléter] Etendue_geo : (du site 16) 56°38'24.09"N;61°23'3.21"W; 56°36'2.95"N;61°22'56.89"W; 56°36'2.69"N;61°27'28.85"W; 56°38'29.91"N;61°22'40.60"W Liens et documents associés [à compléter] : liste des échantillons, des quadrats, description du protocole dans publis, liste des photos, couche carto [à compléter : revoir avec resp.projet] Keywords: Arctic, Subarctic, Greenland, Nunavik, Labrador-Nunatsiavut, Canada, Norse, Farming, Intercation Human-environment, Thule, Inuit, Natural-archives, Archaeological settlements, Archaeological-artefacts, Raw-materials, Climate, Environment, Landscape, Ecosytems, Biodiversity, Global-changes, Social-changes, Flora, Fauna, Soils, PalenvDNA, Perception, Memory, Heritage, Holocene, Last-Millenium
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During National Science Week on Sunday 26th August 2007, Geoscience Australia opened its doors to the community to showcase a diverse range of work activities. Members of the public had the opportunity to discover how earthquakes are detected, pan for gold, tour the building, view Australia in 3D, become a seafloor detective and talk to the people who work for Australia's national geoscience research organisation. The photographs of that open day have been converted into thumbmail images and are available on the GA web site.
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This is a data set on some morphological and physiological impacts of salinity on two isolated of Microcystis aeruginosa performed in laboratory experiments in the spring of 2022. Two non axenic isolated colonial Microcystis aeruginosa strains (PMC1323.21 and PMC1262.20) were used for the experiments. Both strains were provided by the Paris Museum Collection (PMC). For these experiments, colonies of both strains were grown in BG11 medium in Erlenmeyer flasks and kept in an exponentially growing phase. The batch cultures were stored in a growing chamber at 22 °C and under a light intensity of 40 μE/m2/s with a photoperiod of 14h/10h. For details see Bormans et al 2023 in MicrobiologyOpen This data set contains the following sheets: read_me cell_diameter_strain_1323.21 cell_diameter_strain_1262.20 volume_colonies_7d_strain_1262.20 volume_colonies_3d_strain_1262.20 autofluorescence 1323.21 autofluorescence 1262.20 intercellular spacing 1262.20
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This data set contains the temperature values at the position of 557 Pardosa saltans spiders, measured each minute during 90 minutes in a laboratory thermal gradient. Additionnal information on sex, development stage and morphology is provided for each individual. For details see Cabon et al 2023 in Journal of Thermal Biology: https://www-sciencedirect-com.passerelle.univ-rennes1.fr/science/article/pii/S0306456523002474 https://doi.org/10.1016/j.jtherbio.2023.103706 Link to the dataset: https://doi.org/10.48579/PRO/AF5COX
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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.