Success story

MORFEO

Landslides; subsidence detection

Profile

Detect and monitor landslides and instability risks over urban areas, large infrastructures and the territory around it, in order to prevent disasters

Benefits

  • Updated knowledge of ground conditions
  • Continuous monitoring of landslide areas

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Related Content

Preciso® Landslide
Landslides, landslide monitoring, subsidence detection, Infrastructure
Preciso® landslide uses readings taken from Synthethic Aperture Radar (SAR) data to measure sub-centimetric movements of reference points on the ground.
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Mutation Signalling on agriculture parcels in the Netherlands
Since 2019 NEO signals changes to approximately 500 thousand agriculture parcels in the Netherlands. Monitoring, based on satellite imagery in combination with artificial intelligence, aims to detect changes in the boundaries of the parcels. The service saves time and money because, based on the mutation signalling, parcels can be looked at more specifically to determine the new parcel boundaries. The service that NEO provides is unique: it is the first time that mutation signalling based on earth observation is performed automatically on this scale. Use is made of the open data from the national satellite data portal.
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5D Multi-Purpose LIS (Land information System)
Agriculture, Infrastructure, Coastal, Floods, Forests, Inland Water, Land Ecosystems, Land use, Landslides, Sea-ice and icebergs, Snow & Ice, Topography, Urban Areas, Security, Assess Environmental impact of farming, Monitor crops, Assess Deforestation / Forest Degradation, Assess environmental impact of forestry, Assess and monitor water bodies   , Monitor land ecosystems and biodiversity, Monitor land cover and detect change , Baseline mapping , Map line of sight visibility (land surface), Asset infrastructure monitoring, Monitor coastal ecosystem, Monitor the coast line, Map and assess flooding, Detect and monitor wildfires, Forecast and assess landslides, Monitor sensitive risk areas, Forecasting epidemics and diseases, land administration, land use studies, monitoring of settlements, urban atlas, urban development, smart cities, rural areas, building inventory, building footprint, spatial planning, land cover, Solar energy, Construction, Forestry, Real-estate management, Transportation
The complexity of modern urban environments has led to the introduction of 3D Land Information Systems (LISs), which tend to replace traditional 2D LIS architectures for the purposes of urban planning and regeneration, land administration, real estate management and civil development. Both the need for 3D visualization of the geometry of buildings in various time instances through the years and the need for acquisition of 3D models in various levels of detail (LoDs), which not only fulfill the requirements of the various users but also they speed up the visualization process, are obvious. Thus, additional dimensions, that is, for time and scale, need to be supported by a modern LIS. This service introduces a 5D modelling pipeline that may be adopted by a multi-purpose LIS for the selective creation of 3D models of an urban area in various time instances and at various LoDs, enriched with cadastral and other spatial data. The methodology is based on automatic change detection algorithms for spatial-temporal analysis of the spatial changes that took place in subsequent time periods, using image orientation, dense image matching and structure from motion algorithms, the procedure requires photogrammetric stereo plotting, implements procedural modelling and relies on the availability of overlapping aerial and terrestrial imagery, ground control points and cadastral information.
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Solar panel service
NEO monitors solar panels throughout the Netherlands using deep learning methods. Solar panels are detected using various resolutions of satellite and aerial imagery. The panels are digitalized by the algorithm and related to 3D-roofs based on the AHN (Dutch national height model) to calculate zenith and azimuth angles. This data, combined with data such as solar power, allows NEO to estimate the power output for each object. Solar panels are also provided with parcel and address information and statistical reports, so customers can easily apply the data and relate it to internal registrations.
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