Proposition: On behalf of several provinces NEO has monitored whether trees disappeared in areas that fall under the nature conservation law. The enforcement of this law is difficult, as areas are enormous and human resources limited. By monitoring the trees in an automated way NEO delivers only the most relevant changes to the client to follow up in the field. The nationwide tree database of the Boomregister that was developed by NEO is used as baseline. Satellite data is used as source for the yearly updates. We use deep learning algorithms to signal where trees have disappeared, and filter them to only keep the most relevant ones.

Proposition: To provide park managers with more insight into the fire dynamics of this large park and two adjacent agropastoral areas, ZEBRIS proposed the use of the platform firemaps..net to provide frequent and timely updates of burned areas and near real time monitoring of fires. To assess greenhouse gas emissions, measuring biomass burning and smoke release rates with infrared satellites was proposed. Fire risk and vulnerability were to be analysed using satellite data of past fire events, land cover information, weather data and fire behaviour models. Analysis and reporting-ready statistics were to be done largely automated in the processing environment provided by firemaps.net and served through a web GIS interface or as downloadable raster and vector data.

Proposition: WindSight is a suite of novel EO-based products for characterization of the land surface roughness and topography anywhere in the world. Together with state-of-the-art flow modeling tools for wind energy planning and prospecting, WindSight can replace current procedures for land surface characterization, which are based on manual assessment, coarse global data sets, or costly airborne measurement campaigns.

Proposition: Using satellite data and derived measurements of water parameters and a model for shellfish growth, Planetek is delivering Rheticus® Aquaculture service, providing information to aquafarmers about mussels’ growth rates, consisting of weekly bulletins with indicators calculated by the algorithms. Within the e-shape project, by organizing pilots in different plants in the Mediterranean Sea with the collaboration of the aquafarmers associations, we intend to scale up the adoption of the Rheticus® Aquaculture service in the Mediterranean and worldwide markets. We will pursue it by codesigning the service with the end-users, and adapting it to the different needs that different areas will require.

Proposition: DynaCrop pursues a synergy with companies already established in the food value chain and helps them to integrate EO-based information at scale. In this way, it minimizes resources needed for EO integration (money, time, human resources) and provides users with state-of-the-art service. Information is delivered through the value-added platform (API, white label web application, QGIS plugin) and users are receiving user-centric consulting and R&D cooperation as part of the cooperation.

Proposition: Planetek Italia is an Italian company, established in 1994, which employs 50 men and women, passionate and skilled in Geoinformatics, Space solutions, and Earth science. We provide solutions to exploit the value of geospatial data through all phases of data life cycle from acquisition, storage, management up to analysis and sharing. We operate in many application areas ranging from environmental and land monitoring to open-government and smart cities, and including defence and security, as well as Space exploration and satellite missions. The main activity areas are: Satellite, aerial and drone data processing for cartography and geo-information production; Continuous monitoring with satellite data of Earth’s surface, infrastructures, work sites, urban dynamics or marine coastal areas in support of decision-making and operational activities Design and development of Spatial Data Infrastructures (SDI) for geospatial data archive, management and sharing; Design and development of real-time geo-location based solutions, through positioning systems such as GPS/Galileo/GNSS and indoor location systems; Development of software for the satellite on-board data and image processing and for ground segment infrastructures.

Proposition: There is a shortfall in current remote sensing data provision in relation to the following two challenges that cannot be met with current satellite or airborne imaging survey technologies: (i) Cost-effective capture of fine-scale spatial data describing the current hydrological condition and water resource status of catchments at user-defined time-steps; (ii) Data capture at fine temporal resolution for describing water system dynamics in soil moisture, vegetation, and topography in catchments where there are important downstream effects on water resources (e.g., floods, erosion events or vegetation removal). These challenges apply in particular to small streams and floodplain flow pathways that become hydraulically and geomorphologically very important during flash floods. However, given the small size and stream order of these systems but their high significance nonetheless during rain storms, they require detailed, high-resolution data on topology and geometry, including all built and natural features. We therefore proposed the development of a benchmark data set from a variety of drone-based technologies for high-accuracy mapping of topography and infrastructure in the context of floodplain and drainage geometries. We suggested to do this first in a small agricultural sub-catchment to test data and model capabilities, before establishing benchmarks for data and flood models in a much more complex residential area (depicted in image) that is prone to flash flooding.

Proposition: The service automatically checks satellite imagery time series and delivers a classification of parcels in line with the requirements. Additionally a dataset of 2D geometries of suspected changes, including properties of the change signal such as nature of change (e.g. building, water, vegetation) and date of change is delivered to add further efficiency to the process of updating the geometries of the parcels, in order to comply with LPIS requirements.

Proposition: We were commissioned by the client to provide them with accurately mapped coastlines at both low and high tide, as well as identify submerged hazards, such as reefs, rocks and sand banks.

Proposition: On behalf of several provinces NEO has monitored whether trees disappeared in areas that fall under the nature conservation law. The enforcement of this law is difficult, as areas are enormous and human resources limited. By monitoring the trees in an automated way NEO delivers only the most relevant changes to the client to follow up in the field. The nationwide tree database of the Boomregister that was developed by NEO is used as baseline. Satellite data is used as source for the yearly updates. We use deep learning algorithms to signal where trees have disappeared, and filter them to only keep the most relevant ones.

Proposition: Haifa city. The technical tool is a 3D planning application (facing the time in the past and in the future - 4D) and is made to test the urban planning functionality combined climate change initiative following the Paris Agreement (5D) and affordable housing policies (5D) to achieve the “best use” of urban land following the UN Agenda for Sustainable Development.

Proposition: The province of Zuid Holland had a challenge with 15% of the monument buildings being empty. This causes reduction in property prices and loss of cultural heritage. The renovation charges exceeded 150million, and a strategy was required to choose the correct sites for redevelopment. The data driven strategy proposed a solution to make life easier for the department culture and heritage to reduce the number of empty monuments.