[{"data":1,"prerenderedAt":99},["ShallowReactive",2],{"portfolio-project-lisl-land-informationssystem-luxemburg-en":3},{"project":4,"businessAreas":56},{"name":5,"slug":6,"area":7,"title":14,"links":15,"titleImage":16,"paragraphs":20,"tasks":26,"client":36,"duration":37,"tools":38,"clientRef":39,"tags":49,"gallery":53,"videos":54,"__typename":55},"LIS-L - Land Information System for Luxembourg","lisl-land-information-system-luxembourg",[8],{"flatData":9,"__typename":13},{"title":10,"slug":11,"__typename":12},"Consulting","consulting","BusinessareaFlatDataDto","Businessarea","Develop and test a land information and land monitoring system for the Grand Duchy of Luxembourg",[],[17],{"url":18,"__typename":19},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002Fe4af588f-7d6e-4ce9-a50b-c8d31413560d\u002F","Asset",[21,24],{"text":22,"__typename":23},"The LIS-L project had the objective to develop and test a land information and land monitoring system for the Grand Duchy of Luxembourg, which gives access to summary land use and land cover statistics for different aggregated grid resolutions and\u002For reporting units, such as municipalities or districts.","ProjectDataParagraphsChildDto",{"text":25,"__typename":23},"The project involves an update and revision of the 2007 OBS (Occupation Biophysique du Sol) database, originally with 78 land use and land cover classes, for the reference year of 2015 and the introduction of a new land monitoring concept, i.e. the separate mapping of 7 land cover and >50 land use classes. The mapping is based on 1m VHR satellite images (Pleiades) and intra-annual time-series of SPOT5-Take 5 images, applying a Minimum Mapping Unit of 50m2 (25m2 in case of built-up areas).",[27,30,32,34],{"text":28,"__typename":29},"Knowledge transfer from the LISA project","ProjectDataTasksChildDto",{"text":31,"__typename":29},"Support the information system and database design",{"text":33,"__typename":29},"Adopting the EAGLE concept",{"text":35,"__typename":29},"Support the database implementation and validation tool","ESA via space4environment","2016 - 2018","QGIS, PostgreSQL & PostGIS",[40],{"flatData":41,"__typename":48},{"name":42,"link":43,"image":44,"__typename":47},"European Space Agency","https:\u002F\u002Fwww.esa.int\u002F",[45],{"url":46,"__typename":19},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002F911fbd3c-def7-400e-b1a2-4b6db43f5e30\u002F","ClientFlatDataDto","Client",[50,51,52],"QGIS","PostGIS","PostgreSQL",null,[],"ProjectFlatDataDto",[57,69,80,92],{"title":58,"slug":59,"icon":60,"tags":61,"description":68,"__typename":12},"Web Solutions","web","fas laptop-code",[62,63,64,65,66,67,51],"C#","ASP.NET","Blazor","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.",{"title":70,"slug":71,"icon":72,"tags":73,"description":79,"__typename":12},"Geospatial","geo","fas map",[74,75,76,77,78],"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":81,"slug":82,"icon":83,"tags":84,"description":91,"__typename":12},"Mobile Apps","mobile","fas mobile-alt",[85,86,87,88,89,90],"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":10,"slug":11,"icon":93,"tags":94,"description":98,"__typename":12},"fas user-tie",[95,96,51,97],"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.",1782065712870]