Success story

Monitoring trees for nature conservation law

Forests; Assess Deforestation / Forest Degradation; Detect illegal forest activities; Forestry; Forest management; Forest policy

Proposal

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.

Possible illegal logging becomes visible at locations that are visible and invisible to the enforcer.

Benefits

  • Satellite images cover a large area in a short time.
  • Extremely accurate due to automation supplemented with manual monitoring
  • Very cheap compared to field research
  • The forest inspectors know exactly where to look
  • Possible illegal logging becomes visible at locations that are visible and invisible to the enforcer
  • Check on licensed felling of trees saves time and money

Compare products

0 products added

Compare
services

Related Content

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.
Added
Added
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.
Added
Added
EO based phytoplankton biomass service
Inland Water, Assess and monitor water bodies   , Local and regional planners, Regional governments, City authorities, Environment, Utilities (water, electricity, waste) , Water plants, Coastal management agencies
Using knowledge about how certain substances, such as one of the main pigments of the phytoplankton (Chlorophyll a - Chl a) alter the colour of the water, these parameters can be derived from optial Earth Observation (EO) satellite sensors. Water Insight provides monitoring services of Chl a based on EO data which is validated with in situmeasurements. Also the maps of WFD phytoplankton biomass status classes are created, by application of the WFD tresholds on Chl a as a proxy for phytoplankton biomass. The maps are made available in a portal, which allows to follow the lakes in time, zoom and download maps and time series.
Added
Added
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.
Added
Added