Company

NEO

Creating valuable services by sensing the dynamics of our habitat.

Aerial image of the Waddenzee, The Netherlands

About

NEO is a Dutch international earth observation service provider, celebrating its 23rd anniversary. NEO concentrates on solving technological and process challenges in monitoring of geo-objects using earth observation tools. We provide services that create valuable services by sensing the dynamics of our habitat. NEO serves over 200 customers in the Netherlands, within the European Union, in Central and Eastern Europe, as well as in Africa, Asia and Latin America. With its 30 Geo- and EO-specialists in 2019 the company is independent from all providers of imagery, software and other organizations. Our information helps our customers to reduce costs, increase safety, and prevent errors, to comply with regulations and to manage our environment better.

Agriculture; Floods; Forests; Land use; Urban Areas; Topography

Certifcation
  • ISO-9001
  • ISO-27001
Registration Number
Address
Stadsring 65D 3811HN Amersfoort
Telephone
+31332100700
Fax
+31332100700
Contact Name
Eva Stierman
Contact Position
Contact Telephone
+31332100700
Contact Email
eva.stierman@neo.nl
Value chain
  • https://www.neo.nl/
HQ location
Stadsring 65D, 3811 HN Amersfoort, The Netherlands

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Related Content

Mutation Signalling on agriculture parcels in the Netherlands
Agriculture, crop acreage, Monitor crops, crop types extent, Land use, Assess land value, ownership, type, use, Measure land use statistics, Agricultural commodities, Agriculture and rural development policy, Farming, Real-estate management, Local and regional planners, City authorities, Planners, Regional governments, Town authorities, Agriculture and rural policy makers
NEO signals changes to agriculture parcels. 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. This supports the process of keeping the national LPIS (Land Parcel Identification System) registry up to date. 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. In this way the 500.000 parcels in the Netherlands are monitored. Open data from the national satellite data portal in the Netherlands is used.
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Land Cover Analysis
Floods, Inland Water, Land Ecosystems, Geology, Forests, Infrastructure, Land use, Urban Areas, Fires, Earthquakes, Construction, Emergency Services, Environmental, Pollution & Climate, Farming, Utilities (water, electricity, waste) , Oil and Gas, Minerals and Mining
LCA stands for Land Cover Analysis and is used to provide an up to date, digital overview of what covers the surface of our earth split out into 10 key land cover classes. The LCA is often the first step in many environmental monitoring or site selection processes.
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Monitoring trees
Forests, Assess Deforestation / Forest Degradation, Assess forest damage due to storms or insects, Monitor forest resources, Land use, Forestry, Forest policy, Forest policy makers, Logging industry, Wood industry
NEO is monitoring trees using satellite data and deep learning methodologies. This service informs people about the status of different trees species in their surrounding/municipality. Trees managed by municipalities can be checked on presence and correct attributes such as tree height.
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Solar panel service
Infrastructure, Map and monitor solar energy (solar farms), solar energy, solar radiation, Monitor urban areas, Urban Areas, urban development, urban settlement, urban atlas, urban areas, smart cities, individual houses inventory, Alternative Energy, Regional planners, Solar energy, Environment, Real-estate management
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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