[{"data":1,"prerenderedAt":215},["ShallowReactive",2],{"portfolio-area-geo-en":3},{"projects":4,"count":170,"businessAreas":171,"activeBusinessArea":184},[5,46,79,109,138],{"name":6,"slug":7,"title":8,"order":9,"area":10,"titleImage":14,"client":18,"clientRef":19,"duration":29,"tools":18,"tags":30,"paragraphs":37,"__typename":45},"RESY","resy","Reference system",180,[11],{"id":12,"__typename":13},"420916f7-46dd-4b91-be67-68b5bd98802d","Businessarea",[15],{"url":16,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002F846eb226-95a5-4233-b5f0-e76e649611c2\u002F","Asset",null,[20],{"flatData":21,"__typename":28},{"name":22,"link":23,"image":24,"__typename":27},"GI Geoinformatik","https:\u002F\u002Fwww.gi-geoinformatik.de\u002F",[25],{"url":26,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002Fa6911254-33af-41b6-84f0-c92797445bc8\u002F","ClientFlatDataDto","Client","Since 2025",[31,32,33,34,35,36],".NET","WPF","ESRI Local Server","Blazor","GI Common","OIDC",[38,41,43],{"text":39,"__typename":40},"The reference system is a GIS based system for managing and maintaining agricultural reference areas. It serves as a central basis for identifying, locating, and delineating agriculturally used areas, as well as for calculating area based agricultural subsidies.","ProjectDataParagraphsChildDto",{"text":42,"__typename":40},"The system uses current orthophotos, geometries from the application process, and other specialized geodata layers from other administrative bodies. This data forms the basis for a precise digital representation of agricultural land use and enables continuous updates to the reference system.\n",{"text":44,"__typename":40},"Purpose and Scope:\nThe reference system forms the technical and professional basis for administrative and on-site inspections within the framework of agricultural subsidies. It enables the reliable verification of maximum eligible areas and supports both the administration and the inspection service in the evaluation and updating of land data.","ProjectFlatDataDto",{"name":47,"slug":48,"title":49,"order":50,"area":51,"titleImage":53,"client":56,"clientRef":57,"duration":65,"tools":66,"tags":67,"paragraphs":72,"__typename":45},"Modeling of ecological corridors","modeling-of-ecological-corridors","Methodology for identification and designation of ecological corridors in the ENI Carpathians",135,[52],{"id":12,"__typename":13},[54],{"url":55,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002F3ef00c46-be3f-43d2-b438-a7d213a69712\u002F","WWF Romania & SOS BirdLife Slovakia",[58],{"flatData":59,"__typename":28},{"name":60,"link":61,"image":62,"__typename":27},"WWF","https:\u002F\u002Fwww.worldwildlife.org\u002F",[63],{"url":64,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002F8cf171ea-6b57-4a69-b987-2dee2b47087e\u002F","2020 - 2021","Circuitscape, MapStore, Maxent, OSM",[68,69,70,71],"MapStore","Maxent","OSM","Circuitscape",[73,75,77],{"text":74,"__typename":40},"Based on previous initiatives on connectivity for wildlife in the Carpathians, the OBWIC project (Open Borders for Wildlife In the Carpathians) developed a methodology for identification and designation of ecological corridors of trans frontier interest in the ENI Carpathians (Hungary, Slovakia, Romania, Ukraine). The project area covered approximately 4 million ha. Umbrella species used for connectivity model are brown bear, Eurasian lynx, grey wolf and golden jackal.",{"text":76,"__typename":40},"For the identification of ecological corridors, a Habitat Suitability Model (HSM) was created. It defines core areas, which represented large areas of forest habitat. Due to the fragmentation of large carnivores’ habitats, linkage landscape structures were identified between previously drafted core areas of distribution. These linkage areas contain usually less favourable habitats for large carnivores but structurally allow the movement\u002Fmigration of umbrella species between core areas. Mainly based on the HSM and OSM data, the conception of a Habitat Resistance Model (HRM) enabled the definition of the ecological connectivity model which identified the ecological corridors.",{"text":78,"__typename":40},"For the designation of ecological corridors, the focus was set on critical connectivity zones (bottlenecks). Spots with critical permeability, due to presence of barriers, settlements, etc., were also subject of field inspection.",{"name":80,"slug":81,"title":82,"order":83,"area":84,"titleImage":86,"client":89,"clientRef":90,"duration":98,"tools":99,"tags":100,"paragraphs":104,"__typename":45},"CLC+ Backbone implementation","clc-plus-backbone-implementation","Support the implementation of the CLC+ Backbone",130,[85],{"id":12,"__typename":13},[87],{"url":88,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002F091068f6-38f7-4e7a-a3dc-3065b0d26d4b\u002F","GeoVille",[91],{"flatData":92,"__typename":28},{"name":93,"link":94,"image":95,"__typename":27},"Geoville","https:\u002F\u002Fwww.geoville.com\u002F",[96],{"url":97,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002F51b0cbf7-2858-43d9-be1f-a9833f0368b4\u002F","Since 2020","QGIS, GDAL\u002FOGR, Python",[101,102,103],"QGIS","GDAL\u002FOGR","Python",[105,107],{"text":106,"__typename":40},"CLC+ (the 2nd generation CORINE Land Cover - CLC) Backbone has been conceived as a new high spatial resolution vector product. It represents a baseline object delineation with the emphasis on geometric rather than thematic detail.",{"text":108,"__typename":40},"CLC+ Backbone will consist of two sub-products: i) An object-based vector product, derived from linear networks and image segmentation, attributed with aggregated statistics, and ii) A 10m pixel based raster product with basic land cover classes.",{"name":110,"slug":111,"title":112,"order":113,"area":114,"titleImage":116,"client":119,"clientRef":120,"duration":128,"tools":129,"tags":130,"paragraphs":135,"__typename":45},"EAGLE Data Model","eagle-data-model","A harmonized land cover data model for Europe",30,[115],{"id":12,"__typename":13},[117],{"url":118,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002F6ff37bf2-f426-43b0-9b28-6b457a64e26d\u002F","EEA via European Topic Center",[121],{"flatData":122,"__typename":28},{"name":123,"link":124,"image":125,"__typename":27},"European Enviroment Agency","https:\u002F\u002Fwww.eea.europa.eu\u002F",[126],{"url":127,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002F2af3219d-88da-4050-afef-2d5111f1e39d\u002F","2015 - 2017","Enterprise Architect, ERD, PostgreSQL & PostGIS",[131,132,133,134],"PostSQL","ERD","PostGIS","Enterprise Architect",[136],{"text":137,"__typename":40},"EAGLE workgroup contract to implement a harmonized land cover data model for Europe (UML modelling and database implementation).",{"name":139,"slug":140,"title":141,"order":142,"area":143,"titleImage":145,"client":148,"clientRef":149,"duration":157,"tools":158,"tags":159,"paragraphs":165,"__typename":45},"LISA - Land Information System Austria","lisa-land-information-system-austria","Development of the Austrian Land Information System",10,[144],{"id":12,"__typename":13},[146],{"url":147,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002Fa398dab2-b20c-441c-b509-1b59b4296942\u002F","FFG \u002F ESA via GeoVille \u002F UBA",[150],{"flatData":151,"__typename":28},{"name":152,"link":153,"image":154,"__typename":27},"FFG","https:\u002F\u002Fwww.ffg.at\u002Fen",[155],{"url":156,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002F66e04b9e-b8fb-4519-9668-32249ead063b\u002F","2009 - 2017","Enterprise Architect, ERD, PostgreSQL & PostGIS, GeoServer, Javascript, OpenLayers, Xamarin Forms",[134,132,160,133,161,162,163,164],"PostgreSQL","GeoServer","Javaskript","OpenLayers","Xamarin Forms",[166,168],{"text":167,"__typename":40},"The overall aim of the Land Information System Austria is to provide current and detailed geospatial information of the status and development of land cover and land use in Austria to public authorities and the private sector.",{"text":169,"__typename":40},"The Austrian Land Information System has been developed in four separate stages. LISA-1 (2009-2010) developed the LISA data model and produced prototypes of land cover and land use maps for a few dozen test sites. LISA-2 (2010-2012) developed concepts for the detection of land cover changes and demonstrated its application for example in upscaling it to CORINE Land Cover. CadasterENV Austria (2012-2015) produced a highly precise land cover map for urban areas of Austria using Pléiades satellite images. CadasterENV (2015-2017) produced an Austrian wide land cover map using the novel Sentinel satellite images.",5,[172,184,195,206],{"title":173,"slug":174,"icon":175,"tags":176,"description":182,"__typename":183},"Web Solutions","web","fas laptop-code",[177,178,34,179,180,181,133],"C#","ASP.NET","DDD","Azure","Kubernetes","Complex applications only unfold their true value when they are easy to access. That is why we develop modern web solutions that present geospatial and domain specific data in an interactive and comprehensible way. With cloud hosting, open interfaces, and scalable infrastructure, we create systems that are flexible to use and noticeably simplify the daily work of users.","BusinessareaFlatDataDto",{"title":185,"slug":186,"icon":187,"tags":188,"description":194,"__typename":183},"Geospatial","geo","fas map",[189,190,191,192,193],"POSTGIS","Geoserver","Geonetwork","OGC Web Services","RDF","The true value of geospatial data lies in its interpretation, and this is where our modelling approach begins. By combining remote sensing, statistics, and machine learning, we develop models that reveal spatial patterns and complex interrelationships. In this way, diverse datasets are transformed into clear insights that provide research, administration, and practice with a reliable basis for decision making.",{"title":196,"slug":197,"icon":198,"tags":199,"description":205,"__typename":183},"Mobile Apps","mobile","fas mobile-alt",[200,201,202,164,203,204],"ASP.NET CORE","GOOGLE FIREBASE",".NET MAUI","Android","iOS","Mobile applications bring data exactly where it is needed whether in the field, in operations, or on the go. Our solutions are intuitive to use, work seamlessly across platforms, and are built on modern open source technologies. They are designed to operate reliably even offline and to integrate smoothly into existing infrastructures.",{"title":207,"slug":208,"icon":209,"tags":210,"description":214,"__typename":183},"Consulting","consulting","fas user-tie",[211,212,133,213],"OGC Standards","ISO Standards","Cloud","We support companies and institutions in meaningfully connecting geospatial and domain specific data and transform them into sustainable strategies. Our consulting is based on open standards and open source technologies, ensuring that new infrastructures not only work technically but also remain reliable, future proof, and sustainable in the long term.",1783525728866]