[{"data":1,"prerenderedAt":307},["ShallowReactive",2],{"portfolio-area-web-en":3},{"projects":4,"count":264,"businessAreas":265,"activeBusinessArea":266},[5,41,73,101,122,152,181,208,236],{"name":6,"slug":7,"title":8,"order":9,"area":10,"titleImage":14,"client":18,"clientRef":19,"duration":28,"tools":29,"tags":30,"paragraphs":34,"__typename":40},"Landmanager","landmanager","Lease and land management",160,[11],{"id":12,"__typename":13},"e33bad05-eedb-4d0b-bfed-6f4339912399","Businessarea",[15],{"url":16,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002Fc93ffbd9-8de9-4736-9336-0b120b26ac77\u002F","Asset","",[20],{"flatData":21,"__typename":27},{"name":6,"link":22,"image":23,"__typename":26},"https:\u002F\u002Fland-manager.de",[24],{"url":25,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002Fe878c44d-c4ab-49ce-81c1-8983a2d2d018\u002F","ClientFlatDataDto","Client","Since 2025",null,[31,32,33],"C#","ASP.NET","Blazor",[35,38],{"text":36,"__typename":37},"Landmanager is a software solution for managing leased and owned agricultural land. Developed by farmers and GIS-experts, the application is specifically designed for agricultural businesses and landowners.","ProjectDataParagraphsChildDto",{"text":39,"__typename":37},"It supports the efficient management of numerous lease agreements, including shared land and offers features such as automatic contract renewal reminders, SEPA payment generation, document management, and integration with modern GIS technologies. The user interface is intuitively designed and includes cloud GIS integration, property maps (ALKIS data), lease editors, and workflows for contract drafting and contract management.","ProjectFlatDataDto",{"name":42,"slug":43,"title":44,"order":45,"area":46,"titleImage":48,"client":51,"clientRef":52,"duration":60,"tools":32,"tags":61,"paragraphs":66,"__typename":40},"SatGrass","satgrass","Satellite-based grassland monitoring for Austria using Sentinel and weather data for precise yield and quality estimation",150,[47],{"id":12,"__typename":13},[49],{"url":50,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002F361fb93c-74d7-46ef-8d48-ff50ee6a1606\u002F","Federal Ministry of Agriculture and Forestry",[53],{"flatData":54,"__typename":27},{"name":55,"link":56,"image":57,"__typename":26},"BMLUK","https:\u002F\u002Fwww.bmluk.gv.at\u002Fen",[58],{"url":59,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002F467b2c20-d20a-4f34-8a9e-3a40ee37b471\u002F","Since 2024",[31,32,62,63,64,65],"STAC","ZARR","Keycloak","CQRS",[67,69,71],{"text":68,"__typename":37},"SatGrass is an implementation project that transforms satellite- and weather-based models for estimating yield and forage quality of Austrian grasslands into an operational system. The goal is to provide an application for farmers, agricultural institutions, and researchers that delivers reliable, near real-time information.",{"text":70,"__typename":37},"The system is based on geospatial grassland data, current and forecasted weather data, and Sentinel-1 and Sentinel-2 satellite imagery. A scalable backend infrastructure with a relational database enables efficient processing and storage of this information. Machine learning models calculate daily dry matter yield and crude protein content, taking into account vegetation onset and cutting dates. ",{"text":72,"__typename":37},"Results are stored as time series for each plot as well as aggregated for regions and years. Standard interfaces ensure that both internal and external users can access the data in a consistent way. SatGrass supports more precise grassland management, provides objective statistical foundations, and contributes to climate adaptation in agriculture.",{"name":74,"slug":75,"title":76,"order":77,"area":78,"titleImage":80,"client":83,"clientRef":84,"duration":60,"tools":29,"tags":92,"paragraphs":94,"__typename":40},"PyroScout","pyroscout","Near-real-time detection and visualization of thermal hotspots for early wildfire detection and fire watch using commercially available drones",140,[79],{"id":12,"__typename":13},[81],{"url":82,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002F2ea00f3f-7cea-4310-b654-604f6f550bbb\u002F","Kuratorium für Verkehrssicherheit",[85],{"flatData":86,"__typename":27},{"name":87,"link":88,"image":89,"__typename":26},"KFV","https:\u002F\u002Fwww.kfv.at\u002F",[90],{"url":91,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002F7a0af836-205c-4030-b15a-007835a3a8af\u002F",[32,33,31,93],"DJI",[95,97,99],{"text":96,"__typename":37},"Forest fires pose an increasing threat to the environment, the population, and the economy, especially during the dry summer months. The project investigates how commercially available drones equipped with thermal imaging cameras and artificial intelligence (AI) can be used to detect potential fires early and precisely locate them. The goal is to develop a cost-effective and reliable alternative to existing monitoring methods.",{"text":98,"__typename":37},"The feasibility study represents the first phase of a three-stage project (feasibility study – prototype development – pilot project). During this phase, drone models, thermal imaging technologies, and suitable software development kits (SDKs) were evaluated. In addition, technical and organizational challenges such as flight planning, battery capacity, image resolution, and weather dependencies were analyzed, and solutions were developed.",{"text":100,"__typename":37},"A central element of the project is the automated processing of thermal images captured by drones. Using AI, temperature data and metadata (e.g., GPS position, flight altitude, camera orientation) are evaluated to identify signs of fire. The data is transferred to a cloud API and visualized in a web frontend, which also includes a configurable alarm system.",{"name":102,"slug":103,"title":104,"order":105,"area":106,"titleImage":108,"client":111,"clientRef":112,"duration":113,"tools":29,"tags":114,"paragraphs":115,"__typename":40},"ONP","onp","ONP checks and validates GML data deliveries according to ÖNORM and makes compliant submissions traceably verifiable",139,[107],{"id":12,"__typename":13},[109],{"url":110,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002F381f284f-1600-4d3f-87f5-0b8629586d32\u002F","EVN \u002F Wiener Netze",[],"2024-2025",[31,33,32],[116,118,120],{"text":117,"__typename":37},"The web application enables the validation of GML files according to ÖNORM A 2260, A 2261, and the IGLIS schema. Data suppliers can upload their GML files, have them validated, and download the validation results. This result serves as proof of compliant delivery and can be verified by the recipient to ensure the validity and accuracy of the submitted data.",{"text":119,"__typename":37},"Validation:\nThese checks ensure that geodata complies with the prescribed standards, thus enabling correct data processing and interoperability between different systems. From validating XML syntax to checking specific technical content, the application covers all necessary validation aspects and provides understandable error messages.",{"text":121,"__typename":37},"Verification:\nData recipients can verify the audit result to ensure that the submitted data was delivered correctly and according to standards.",{"name":123,"slug":124,"title":125,"order":126,"area":127,"titleImage":129,"client":29,"clientRef":132,"duration":140,"tools":29,"tags":141,"paragraphs":145,"__typename":40},"SEA Network","seanetwork","SEA Network simplifies maritime compliance management with certificate tracking, expiry monitoring and service booking",137,[128],{"id":12,"__typename":13},[130],{"url":131,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002Fd02e5d1f-3246-4bc6-8030-b7fec8b32da5\u002F",[133],{"flatData":134,"__typename":27},{"name":135,"link":136,"image":137,"__typename":26},"Datema","https:\u002F\u002Fwww.datema.nl\u002F",[138],{"url":139,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002F379c8dbd-c552-4a9e-8aca-92de5b18f336\u002F","2023-2024",[31,32,142,143,144],"ABP","Blazor Server","DDD",[146,148,150],{"text":147,"__typename":37},"SEA Network is a global platform that enables shipowners and fleet managers to monitor their compliance 24\u002F7. Shipowners can see whether safety, medical, or communication-related certificates are valid, about to expire, or have already expired. At the same time, users can book maintenance or inspections directly through the platform and choose between different service types and ports.\n",{"text":149,"__typename":37},"In addition, SEA Network centrally manages all ship certificates, making downloading, uploading, and sharing easy. The platform relies on a network of over 200 certified service providers in more than 50 countries, offering services including fire protection equipment, gas detection, and other nautical safety services.",{"text":151,"__typename":37},"SEA Network sends proactive notifications when documents or services are about to expire, enabling timely action. This automation specifically eases the burden of planning and adhering to important compliance requirements.",{"name":153,"slug":154,"title":155,"order":156,"area":157,"titleImage":159,"client":162,"clientRef":163,"duration":170,"tools":171,"tags":172,"paragraphs":178,"__typename":40},"Natura Alert API","natura-alert-api","API development for important biodiversity areas (IBAs)",110,[158],{"id":12,"__typename":13},[160],{"url":161,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002F53965df5-6e68-4d90-aecb-cb1632b0e5e1\u002F","Birdlife International",[164],{"flatData":165,"__typename":27},{"name":162,"link":166,"image":167,"__typename":26},"https:\u002F\u002Fwww.birdlife.org\u002F",[168],{"url":169,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002Fc0816d1b-6767-4e2f-a383-2edc60994a99\u002F","2018 - 2019","ASP.NET Core, OAuth & OpenID Connect, PostgreSQL & PostGIS, Docker, OpenAPI",[173,174,175,176,177],"PostGIS","PostgreSQL","Docker","OpenAPI","ASP.NET Core",[179],{"text":180,"__typename":37},"Development of a backend API to collect and review threats reported for BirdLife's IBAs (Important Biodiversity Areas). The API is consumed by both the mobile apps as well as by the web application.",{"name":182,"slug":183,"title":184,"order":185,"area":186,"titleImage":188,"client":191,"clientRef":192,"duration":200,"tools":32,"tags":201,"paragraphs":203,"__typename":40},"LACO-Wiki campaigner for palm oil maps","laco-wiki-campaigner-for-palm-oil-maps","Building a campaign system for the LACO-Wiki land cover validation platform",60,[187],{"id":12,"__typename":13},[189],{"url":190,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002Fbab984e0-8e9a-4a80-86db-e145fe848056\u002F","WWF US",[193],{"flatData":194,"__typename":27},{"name":195,"link":196,"image":197,"__typename":26},"WWF","https:\u002F\u002Fwww.worldwildlife.org\u002F",[198],{"url":199,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002F8cf171ea-6b57-4a69-b987-2dee2b47087e\u002F","2016 - 2017",[202],"ASP.Net",[204,206],{"text":205,"__typename":37},"Palm oil cultivation has been criticized for impacts on the natural environment, including deforestation, loss of natural habitats, which has threatened endangered species and increased greenhouse gas emissions. Maps of palm oil extent have been produced by NASA’s Jet Propulsion Lab by means of use of SAR (Synthetic Aperture Radar) imagery in several iterations.",{"text":207,"__typename":37},"These map iterations shall be validated by local experts using the LACO-Wiki land cover validation platform. To simplify this process, a campaign system for LACO-Wiki had to be developed.",{"name":209,"slug":210,"title":211,"order":212,"area":213,"titleImage":215,"client":218,"clientRef":219,"duration":227,"tools":228,"tags":229,"paragraphs":231,"__typename":40},"IFBN - International Forest Observation System","ifbn-international-forest-observation-system","Global forest plot data for earth observation and land surface modelling",40,[214],{"id":12,"__typename":13},[216],{"url":217,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002Fbed3ecf1-ab83-4e39-84d4-31e5d69d7360\u002F","ESA via IIASA",[220],{"flatData":221,"__typename":27},{"name":222,"link":223,"image":224,"__typename":26},"European Space Agency","https:\u002F\u002Fwww.esa.int\u002F",[225],{"url":226,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002F911fbd3c-def7-400e-b1a2-4b6db43f5e30\u002F","2015 - 2017","ASP.NET, PostgreSQL & PostGIS, OpenLayers",[32,174,173,230],"OpenLayers",[232,234],{"text":233,"__typename":37},"The International Forest Biomass Network (IFBN) is an international cooperation to establish and maintain a global in-situ forest biomass database. IFBN is launched under the auspices of the European Space Agency, to provide ground biomass data measurements for the Earth Explorer mission BIOMASS.",{"text":235,"__typename":37},"This database will be essential for validating and improving global satellite observations and land surface models. The long-term objective of this activity is to build a global, open and freely accessible database of relevant forest parameters.",{"name":237,"slug":238,"title":239,"order":240,"area":241,"titleImage":243,"client":246,"clientRef":247,"duration":255,"tools":256,"tags":257,"paragraphs":261,"__typename":40},"AusCover Geo-Wiki","auscover-geo-wiki","AusCover, is providing an online and mobile means to test and validate maps of land-cover and biophysical variables",20,[242],{"id":12,"__typename":13},[244],{"url":245,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002Feea2155b-6680-49b3-9cfe-63da62a434e0\u002F","The University of Queensland, Australia",[248],{"flatData":249,"__typename":27},{"name":250,"link":251,"image":252,"__typename":26},"The University of Queensland","https:\u002F\u002Fwww.uq.edu.au",[253],{"url":254,"__typename":17},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002Fe9cf8950-f0fe-45b3-86fe-d85a3f1132ea\u002F","2015","QGIS, PHP, JavaScript",[258,259,260],"QGIS","PHP","JavaScript",[262],{"text":263,"__typename":37},"As it is difficult to obtain accurate validation data over large areas, the Geo-Wiki website allows “citizen-scientists” and volunteers to view, with Google Earth as a backdrop, these maps in real time, and apply their local area knowledge to determine if the classification is correct or incorrect. If the mapped features are deemed incorrect, the volunteer submits information on which land-cover class or other variable would be more appropriate. The submitted validation information is recorded and used iteratively to produce new and more accurate land-cover and other biophysical parameter maps.",9,[266,275,286,298],{"title":267,"slug":268,"icon":269,"tags":270,"description":273,"__typename":274},"Web Solutions","web","fas laptop-code",[31,32,33,144,271,272,173],"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":276,"slug":277,"icon":278,"tags":279,"description":285,"__typename":274},"Geospatial","geo","fas map",[280,281,282,283,284],"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":287,"slug":288,"icon":289,"tags":290,"description":297,"__typename":274},"Mobile Apps","mobile","fas mobile-alt",[291,292,293,294,295,296],"ASP.NET CORE","GOOGLE FIREBASE",".NET MAUI","Xamarin Forms","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":299,"slug":300,"icon":301,"tags":302,"description":306,"__typename":274},"Consulting","consulting","fas user-tie",[303,304,173,305],"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.",1785223288274]