Catalogue PIGMA
Catalogue PIGMA (PIGMA)
Continents, countries, sea regions of the world.
Sites photovoltaïques au sol en Nouvelle-Aquitaine en 2024
En 2019, il n'existait pas à l’échelle de la Région Nouvelle-Aquitaine de données géographiques exhaustives et homogènes sur la localisation des installations photovoltaïques au sol. Dans le cadre de l’Observatoire régional NAFU, la construction d’une base de données des installations photovoltaïques au sol a été adopté lors du COPIL du 8 mars 2019. Ce travail s'est déroulé en plusieurs phases: 1. Mobilisation de différentes sources de données disponibles (autorité environnementale, référentiel d’occupation du sol, données de la DFCI, SDIS, DDT-M et de l’ALEC) pour constituer un premier inventaire des sites photovoltaïques existant en 2018. 2. Face à l'intérêt des acteurs liés à la gestion du foncier en Nouvelle-Aquitaine, il a été décidé d'intégrer une nouvelle classe "1219 - Espaces des installations photovoltaïques au sol" dans le millésime 2020 du Référentiel régional d'OCS de la Nouvelle-Aquitaine. Elle a ensuite été ajoutée aux millésimes "2000", "2009" et "2015". Ces travaux ont été effectués dans le cadre du projet d’ajout d’un nouveau millésime 2020 dans l’OCS régionale et répercutés sur les millésimes de l’OCS précédents. Ces données ont servi de base pour la création de la carte et de la couche géographique des sites des installations photovoltaïques au sol en 2020 en Nouvelle-Aquitaine. Les données de l'OCS régionale ont été consolidées avec les données de l'AREC pour 2020 (ce point peut engendrer localement des différences légères entre ce résultat et les données de l'OCS). 3. Des collaborations sont en cours avec les acteurs intéressés par le sujet (Région Nouvelle-Aquitaine, Etat, AREC etc.) afin de disposer d'un dispositif de suivi plus régulier (annuel) et plus complet. Pour rappel, un site photovoltaïque au sol correspond à un espace visible (via la photo-interprétation d’image aériennes et satellites) d’un ou plusieurs parcs photovoltaïques (panneaux) construits ou en construction dans l'année du millésime. ### ***[Télécharger la cartographie ponctuelle via le formulaire](https://forms.office.com/e/2VmaWxYrHJ)***
Utilisation libre sous réserve de mentionner la source (a minima le nom du producteur) et la date de sa dernière mise à jour
Consolidation de la base de données avec les données de l'AREC pour 2024 (ce point peut engendrer des différences entre ce résultat et les données de l'OCS). La création d'un inventaire des sites photovoltaïques de 2018 a été effectuée par photo-interprétation d'images aériennes de l'IGN (2014, 2015, 2017 et 2018) et des données satellites de Google et de Bing.
GHRSST Level 2P 1 m Depth Global Sea Surface Temperature version 3.0 from the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi NPP satellite (GDS2)
A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on retrievals from the Visible Infrared Imaging Radiometer Suite (VIIRS). This sensor resides on the Suomi National Polar-orbiting Partnership (Suomi_NPP) satellite launched on 28 October 2011. VIIRS is a whiskbroom scanning radiometer which takes measurements in the cross-track direction within a field of regard of 112.56 degrees using 16 detectors and a double-sided mirror assembly. At a nominal altitude of 829 km, the swath width is 3060 km, providing full daily coverage both on the day and night side of the Earth. The VIIRS instrument is a 22-band, multi-spectral scanning radiometer that builds on the heritage of the MODIS , AVHRR and SeaWIFS sensors for sea surface temperature (SST) and ocean color. For the infrared bands for SST the effective pixel size is 750 meters at nadir and the pixel size variation across the swath is constrained to no more than 1600 meters at the edge of the swath. This L2P SST v3.0 is upgraded from the v2.0 with several significant improvements in processing algorithms, including contamination detection, cloud detection, and data format upgrades. It contains the global near daily-coverage Sea Surface Temperature at 1-meter depth with 750 m (along) x 750 m (cross) spatial resolution in swath coordinates. Each netCDF file has 768 x 3200 pixels in size, in compliance with the GHRSST Data Processing Specification (GDS) version 2 format specifications. Version Description:
Colloque organise par le Conseil scientifique et culturel du PNR des Landes de Gascogne
Contaminants-Mercury: stations above LOD/LOQ v2019
This product displays the stations where mercury has been measured and the values present in EMODnet Chemistry infrastructure are always above the limit of detection or quantification (LOD/LOQ), i.e quality value equal to 1. It is necessary to take into account that LOD/LOQ can change with time. These products aggregate data by station, producing only one final value for each station (above, below or above/below). EMODnet Chemistry has included the gathering of contaminants data since the beginning of the project in 2009. For the maps for EMODnet Chemistry Phase III, it was requested to plot data per matrix (water,sediment, biota), per biological entity and per chemical substance. The series of relevant map products have been developed according to the criteria D8C1 of the MSFD Directive, specifically focusing on the requirements under the new Commission Decision 2017/848 (17th May 2017). The Commission Decision points to relevant threshold values that are specified in the WFD, as well as relating how these contaminants should be expressed (units and matrix etc.) through the related Directives i.e. Priority substances for Water. EU EQS Directive does not fix any threshold values in sediments. On the contrary Regional Sea Conventions provide some of them, and these values have been taken into account for the development of the visualization products. To produce the maps the following process has been followed: 1. Data collection through SeaDataNet standards (CDI+ODV) 2. Harvesting, harmonization, validation and P01 code decomposition of data 3. SQL query on data sets from point 2 4. Production of map with each point representing at least one record that match the criteria The harmonization of all the data has been the most challenging task considering the heterogeneity of the data sources, sampling protocols. Preliminary processing were necessary to harmonize all the data : • For water: contaminants in the dissolved phase; • For sediment: data on total sediment (regardless of size class) or size class < 2000 μm • For biota: contaminant data will focus on molluscs, on fish (only in the muscle), and on crustaceans • Exclusion of data values equal to 0
Dissolved metal concentrations in the water column
The original datasets can be searched and downloaded from EMODnet Chemistry Chemistry CDI Data and Discovery Access Service: https://emodnet-chemistry.maris.nl/search
A marine end-to-end ecosystem model and R package. The aim is to represent the entire interconnected marine ecosystem (from physics and chemistry, to whales and fisheries in continental shelf regions) by exploring 'what if' experiments and explore uncertainty. View the application, the website or the latest publication.
WP6 Dynamics of ecosystem state and resources
MEDSEA_CH2_Specification_4 / Qualitative analysis of connectivity between MPAs
In order to assess the connectivity oceanographic data will be used. A shape map will be created combining data on MPAs adequacy and distribution of MPAs and temperature, currents seasonal GIS layers (The temperature and currents are INGV climatological products made available to CH2.
ATLANTIC_CH04_Product_4 / Phytoplankton abundance (top 3 species) time-series (1915-2014)
Phyto plankton Abundance: Identify the 3 most abundant phytoplankton species in the North Atlantic and calculate a timeseries of their abundance within the basin.
MEDSEA_CH4_Product_1 / Spatial layers of Sea surface temperature trend from observations (HadISST dataset) over periods of 10 (2003 – 2012), 50 (1963-2012) and 100 (1913-2012) years. Basin maps and NUTS3 region are considered
Description of the spatial layers atributes of sea surface temperature trend for the last 10, 50 and 100 years for the Mediterranean basin and for each NUTS3 region along the coast.
Mediterranean Sea DIVA 4D analysis of Water_body_nitrate
Moving 10-years analysis of nitrates at Mediterranean Sea for each season : - winter (January-March), - spring (April-June), - summer (July-September), - autumn (October-December). Every year of the time dimension corresponds to the 10-year centered average of each season. Decades span from 1960-1969 until 2004-2013. Observational data span from 1960 to 2013. Depth range (IODE standard depths): -1500.0, -1400.0, -1300.0, -1200.0, -1100.0, -1000.0, -900.0, -800.0, -700.0, -600.0, -500.0, -400.0, -300.0, -250.0, -200.0, -150.0, -125.0, -100.0, -75.0, -50.0, -30.0, -20.0, -10.0, -5.0, -0.0. Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVA (Data-Interpolating Variational Analysis) tool. Profiles were interpolated at standard depths using weighted parabolic interpolation algorithm (Reiniger and Ross, 1968). GEBCO 1min topography is used for the contouring preparation. Analyzed filed masked using relative error threshold 0.3 and 0.5. DIVA settings: A constant value for signal-to-noise ratio was used equal to 3. Correlation length was optimized and filtered vertically and a seasonally-averaged profile was used. Logarithmic transformation applied to the data prior to the analysis. Background field: the data mean value is subtracted from the data. Detrending of data: no. Advection constraint applied: no. Originators of Italian data sets-List of contributors • Brunetti Fabio (OGS) • Cardin Vanessa, Bensi Manuel doi:10.6092/36728450-4296-4e6a-967d-d5b6da55f306 • Cardin Vanessa, Bensi Manuel, Ursella Laura, Siena Giuseppe doi:10.6092/f8e6d18e-f877-4aa5-a983-a03b06ccb987 • Cataletto Bruno (OGS) • Cinzia Comici Cinzia (OGS) • Civitarese Giuseppe (OGS) • DeVittor Cinzia (OGS) • Giani Michele (OGS) • Kovacevic Vedrana (OGS) • Mosetti Renzo (OGS) • Solidoro C.,Beran A.,Cataletto B.,Celussi M.,Cibic T.,Comici C.,Del Negro P.,De Vittor C.,Minocci M.,Monti M.,Fabbro C.,Falconi C.,Franzo A.,Libralato S.,Lipizer M.,Negussanti J.S.,Russel H.,Valli G., doi:10.6092/e5518899-b914-43b0-8139-023718aa63f5 • Celio Massimo (ARPA FVG) • Malaguti Antonella (ENEA) • Fonda Umani Serena (UNITS) • Bignami Francesco (ISAC/CNR) • Boldrini Alfredo (ISMAR/CNR) • Marini Mauro (ISMAR/CNR) • Miserocchi Stefano (ISMAR/CNR) • Zaccone Renata (IAMC/CNR) • Lavezza, R., Dubroca, L. F. C., Ludicone, D., Kress, N., Herut, B., Civitarese, G., Cruzado, A., Lefèvre, D., Souvermezoglou, E., Yilmaz, A., Tugrul, S., and Ribera d’Alcala, M.: Compilation of quality controlled nutrient profiles from the Mediterranean Sea, doi:10.1594/PANGAEA.771907, 2011. Units: umol/l
Nitrate concentration parameters in the water column
Usage is subject to mandatory citation: "This resource was generated in the framework of EMODnet Chemistry, under the support of DG MARE Call for Tender EASME/EMFF/2016/006 - lot4."
Levés photogrammétriques des épis de la plage de Capbreton (40)
Levés photogrammétriques par drone des épis Prévent et Santocha, de la plage de Capbreton, entre 2018 et 2022. Levés réalisés à l'aide d'un drone DJI Phantom 4 Pro, avec GPS Trimble R10 et le système Orphéon. Levés réalisés par CASAGEC Ingénierie (dailloux@casagec.fr) Traitement : Agisoft PhotoScan. Nuage de points trié à 20 cm. Données : format ASCII. Système de coordonnées : Lambert 93 - NGF
/Ocean Temperature/Sea Surface Temperature
MedSea - CH04 - Climate and Coastal Protection
Proposal for generating dedicated maps on contaminants
http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-projects/Phase-2/Mediterranean Sea/Winter (January-March) - 10-years running averages /Water_body_nitrate.4Danl.nc.html
http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-projects/Phase-2/Mediterranean Sea/Spring (April-June) - 10-years running averages /Water_body_nitrate.4Danl.nc.html
http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-projects/Phase-2/Mediterranean Sea/Summer (July-September) - 10-years running averages /Water_body_nitrate.4Danl.nc.html
http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-projects/Phase-2/Mediterranean Sea/Autumn (October-December) - 10-years running averages/Water_body_nitrate.4Danl.nc.html
NASA/JPL/PODAAC > Physical Oceanography Distributed Active Archive Center, Jet Propulsion Laboratory, NASA
DOD/USNAVY/NAVOCEANO > Naval Oceanographic Office, U.S. Navy, U.S. Department of Defense
ISPRA-Institute for Environmental Protection and Research
National Institute of Oceanography and Applied Geophysics - OGS, Division of Oceanography
Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory
University of Plymouth, Institute of Marine Studies
Northern Ireland Environment Agency, Water Management Unit
Scottish Environment Protection Agency, Stirling Office
Leibniz Institute for Baltic Sea Research Warnemünde
State Office for Water Economy and Shore, Schleswig-Holstein, Kiel
CNR, Istituto di Scienze Marine (Sezione di Venezia - ex IBM)
CNR, Institute of Marine Science (ISMAR) (Lesina)
CNR, Institute of Marine Science (ISMAR) - Ancona
CNR, Institute of Marine Science (ISMAR) - Bologna
Hellenic Centre for Marine Research, Institute of Oceanography (HCMR/IO)
CNR, Institute for the Marine and Coastal Environment (IAMC) - Napoli
National Centre for Scientific Research 'Demokritos', Institute of Nuclear Technology - Radiation Protection, Environmental Radioactivity Laboratory (ERL/INTRP/NCSRD)
University of Athens, Department of Chemistry, Division of Inorganic and Environmental Chemistry, Environmental and Marine Chemistry Group (EMCG/UATH)
UNIVERSITE DE PARIS VI / GEOSCIENCES AZUR - SITE DE VILLEFRANCHE / OOV
Polish Geological Institute - National Research Institute, Branch of Marine Geology (PGI BMG)
IVL Swedish Environmental Research Institute - Stockholm
Finnish Institute of Marine Research (FIMR)
P.P.Shirshov Institute of Oceanology, RAS
Bulgarian National Oceanographic Data Centre(BGODC), Institute of Oceanology
Iv.Javakhishvili Tbilisi State University, Centre of Relations with UNESCO Oceanological Research Centre and GeoDNA (UNESCO)
Institute of Marine Sciences, Middle East Technical University
National Institute for Marine Research and Development "Grigore Antipa"
Center for marine research - Rudjer Boskovic Institute
Aarhus University, Department of Bioscience, Marine Ecology Roskilde
Istanbul University, Institute of Marine Science and Management
Laboratory of Physical Oceanography/ UNIVERSITE DE BRETAGNE OCCIDENTALE (UBO)
Ukrainian Hydrometeorological Institute - Marine Branch
Murmansk Hydrometeorological Administration of Roshydromet
North-Caucasus Regional Administration of Hydrometeorology of Roshydromet
Odessa Branch of SOI (State Oceanographic Institute)
Tuapse Hydrometeorological Bureau, North-Caucasus Centre
Israel Oceanographic and Limnological Research (IOLR)
Federal Research Centre for Fisheries (Cuxhaven)
Federal Research Centre for Fisheries (Hamburg)
State Agency for Environment, Nature and Geology, Mecklenburg-Vorpommern
Aquitaine Observatory of Sciences of the Universe - University of Bordeaux (OASU)
ARPA Friuli-Venezia Giulia - Alto Adriatico Observatory
BRGM / Office of Geological and Mining Resources
UNIVERSITE DE BRETAGNE OCCIDENTALE (UBO) /Ocean Geoscience Laboratory (LGO)
UNIVERSITE DE LA MEDITERRANNEE (U2) / CENTRE D'OCEANOLOGIE DE MARSEILLE
UNIVERSITE DE NANTES / LAB.DE GEOLOGIE MARINE ET APPLIQUEE
UNIVERSITE DE RENNES I / LABORATOIRE DE GEOSCIENCES - UMR CNRS 6118
Ukrainian scientific center of Ecology of Sea (UkrSCES)
State Agency for Nature and Environment of Schleswig Holstein (LANU)
National Institute of Biology - Marine Biology Station
Lower Saxony Water Management, Coastal Defense and Nature Conservation Agency
Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research
Institute for Agricultural and Fisheries Research, Animal Sciences Unit - Fisheries
Rijkswaterstaat Water, Traffic and Environment
Institute of Geology and Geography of Nature Research Centre
State Oceanographic Institute, Sebastopol Branch (SB SOI)
Ifremer / VIGIES (Information Valuation Service for Integrated Management and Monitoring)
Institute of Oceanology, Bulgarian Academy of Sciences (IO-BAS)
Federal Maritime and Hydrographic Agency
Georgian Institute of Water Management of Georgian Technical University
National Laboratory of Energy and Geology
Taurida V.I. Vernadsky National University
Geological Institute, Russian Academy of Sciences
OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale), Department of Biological Oceanography
State Office for Agriculture, Environment and Rural Areas of Schleswig Holstein (LLUR)
Specialized Center for Hydrometeorology and Monitoring of Environment of Black and Azov Seas (SC HME BAS)
GEOMAR Helmholtz Centre for Ocean Research Kiel
Hellenic Centre for Marine Research (HCMR)
Leibniz Institute for Baltic Sea Research, Warnemünde
A.O. Kovalevsky Institute of Marine Biological Research - RAS
Environment Agency South West Regional Office
Environment Agency South East Regional Office
Environment Agency Solent and South Downs Area Office
Department of Labour Inspection, Ministry of Labour and Social Insurance
National Research Council of Italy - Institute for Marine and Coastal Environment (IAMC) (Sezione Capo Granitola)
Department of Mathematics and Statistics, University of Strathclyde
CMCC, Centro Euro-Mediterraneo sui Caimbiamento Climatici
Hellenic Centre for Marine Research, Hellenic National Oceanographic Data Centre (HCMR/HNODC)