Dieser Dienst besteht einerseits aus den satellitenbasierten Imperviousness-Rastern (Versiegelungs-Raster) des Copernicus Landmonitoring Services der Europäischen Umweltagentur. Diese Raster zeigen dern Versiegelungsgrad in % für jedes Pixel, aufbereitet für NRW. Die Versiegelungs-Raster stehen für die Jahre 2006, 2009, 2012, 2015 und 2018 zur Verfügung. Ab dem Jahr 2018 liegt der räumliche Auflösung bei 10 Meter, zuvor lag sie bei 20 Meter. Der Stand der Daten ist das Jahr 2023. Geplant ist eine Fortschreibung für alle drei Jahre, das Veresiegelungs-Raster 2021 wird für Mitte 2026 erwartet. Basierend auf den Versiegelungs-Rastern der unterschiedlichen Jahre wurde auch der Anteil der versiegelten Fläche je Gemeinde in Prozent der gesamten Gemeindefläche berechnet. Andererseits besteht der Atom-Feed aus einem luftbildbasierten Rasterdatensatz der Bodenversiegelung mit Berechnungsstand Dezember 2024. Grundlage sind die landeseigenen, hochauflösenden Luftbilder (TrueDOP) mit einem Befliegungszeitraum von Februar 2022 bis Juni 2024. Hier wurde im Rahmen einer Kooperation zwischen Ruhr-Universität Bochum, IT.NRW und dem LANUK NRW mittels eines KI-Ansatz (KI=künstliche Intelligenz) die Bodenversiegelung mit einer räumlichen Auflösung von nur 0,5 Meter berechnet. Aus diesem hochaufgelösten Rasterdatensatz wurden ebenfalls je Gemeinde die Anteile an versiegelter Fläche gegenüber der gesamten Gemeindefläche in Prozent berechnet. Eine ständige Fortschreibung der Datenerhebung ist für alle 2 Jahre geplant.
This data set comprises images of land snails that were taken for the development of Artificial Intelligence (AI)-based models for the identification of 1) European Vertigo species, and 2) land snails from Tenerife, Canary Islands. The images were taken as part of the Training Artificial Intelligence Models for Land Snail Identification (TrAILSID) project (https://tettris.eu/2024/10/11/trailsid-training-artificial-intelligence-models-for-land-snail-identification), which is part of the initiative Transforming European Taxonomy through Training, Research and Innovations (TETTRIs) funded by the European Union. The first subproject provides 1916 images of the 17 European Vertigo species and Columella edentula, Pupilla muscorum, and Sphyradium doliolum as similar species. The genus Vertigo comprises small terrestrial gastropods, which are often difficult to identify, including species listed in the EU Habitats and Species Directive. This directive requires the surveillance of these species to determine whether a favourable conservation status has been achieved. The images of Columella edentula, Pupilla muscorum, and Sphyradium doliolum, were added to the dataset for the development of the AI model for species identification so that the AI model can recognize that a specimen does not belong to Vertigo. The second subproject provides 5592 images of 106 land snail species occurring on Tenerife, Canary Islands. Endemic terrestrial gastropods in the Canary Islands, which are part of the Mediterranean biodiversity hotspot, are often under threat due to ongoing changes in land use, urbanisation, and an increase in stochastic events such as droughts or wildfires. They are also under threat due to the introduction of foreign species with high invasive potential, which are also represented in the dataset. Images of Vertigo pygmaea, which also occurs on Tenerife, were added to the Tenerife dataset from the Vertigo dataset for the development of the AI model for species identification of species from Tenerife. Note that not all figured specimens are from Tenerife. Photographs were taken of shells housed in the collections of the Zoological Museum of the Leibniz Institute for the Analysis of Biodiversity (ZMH), the Museum of Nature and Archeology Santa Cruz de Tenerife (TFMCMT), the Natural History Museum Bern (NMBE), the Natural History Museum Gothenburg (NMG), the Natural History Museum London (NHMUK), the National Museum Wales (NMW), as well as land snails from Tenerife, Canary Islands. This data set comprises images of land snails that were taken for the development of Artificial Intelligence (AI)-based models for the identification of 1) European Vertigo species, and 2) land snails from Tenerife, Canary Islands. The images were taken as part of the Training Artificial Intelligence Models for Land Snail Identification (TrAILSID) project (https://tettris.eu/2024/10/11/trailsid-training-artificial-intelligence-models-for-land-snail-identification), which is part of the initiative Transforming European Taxonomy through Training, Research and Innovations (TETTRIs) funded by the European Union. The first subproject provides 1916 images of the 17 European Vertigo species and Columella edentula, Pupilla muscorum, and Sphyradium doliolum as similar species. The genus Vertigo comprises small terrestrial gastropods, which are often difficult to identify, including species listed in the EU Habitats and Species Directive. This directive requires the surveillance of these species to determine whether a favourable conservation status has been achieved. The images of Columella edentula, Pupilla muscorum, and Sphyradium doliolum, were added to the dataset for the development of the AI model for species identification so that the AI model can recognize that a specimen does not belong to Vertigo. The second subproject provides 5592 images of 106 land snail species occurring on Tenerife, Canary Islands. Endemic terrestrial gastropods in the Canary Islands, which are part of the Mediterranean biodiversity hotspot, are often under threat due to ongoing changes in land use, urbanisation, and an increase in stochastic events such as droughts or wildfires. They are also under threat due to the introduction of foreign species with high invasive potential, which are also represented in the dataset. Images of Vertigo pygmaea, which also occurs on Tenerife, were added to the Tenerife dataset from the Vertigo dataset for the development of the AI model for species identification of species from Tenerife. Note that not all figured specimens are from Tenerife. Photographs were taken of shells housed in the collections of the Zoological Museum of the Leibniz Institute for the Analysis of Biodiversity (ZMH), the Museum of Nature and Archeology Santa Cruz de Tenerife (TFMCMT), the Natural History Museum Bern (NMBE), the Natural History Museum Gothenburg (NMG), the Natural History Museum London (NHMUK), the National Museum Wales (NMW), as well as the private research collections of Klaus Groh (KG), Stefan Meng (SM), Marco T. Neiber (MTN), and Frank Walther (FW). The photographs were taken by staff from the Malacology Section of the Zoological Museum at the Leibniz Institute for the Analysis of Biodiversity (LIB): Till Cunow, Bernhard Hausdorf, Marco T. Neiber, Elicio Tapia, and Mareike Ulrich. The AI-based models for the identification of 1) European Vertigo species, and 2) land snails from Tenerife, Canary Islands are developed by Rita Pucci and Vincent Kalkman at Naturalis, Leiden, and will be made accessible by them. The image recognition models for the European species of the genus Vertigo and the terrestrial mollusc of Tenerife were created by Rita Pucci (Naturalis Biodiversity Center/LIACS) and can be downloaded for deployment from Gitlab. The models are also deployed on ARISE: Classification model for the genus Vertigo: https://gitlab.com/arise-biodiversity/DSI/algorithms/tettris-classification-vertigo Classification model for the terrestrial mollusc of Tenerife https://gitlab.com/arise-biodiversity/DSI/algorithms/tettris-classification-tenerife Contacts Marco T. Neiber Originator Leibniz Institute for the Analysis of Biodiversity Change Martin-Luther-King-Platz 3 20146 Hamburg Germany mneiber@hotmail.de https://orcid.org/0000-0001-5974-5013 Bernhard Hausdorf Originator · Administrative point of contact Leibniz Institute for the Analysis of Biodiversity Change Martin-Luther-King-Platz 3 20146 Hamburg Germany b.hausdorf@leibniz-lib.de https://orcid.org/0000-0002-1604-1689