Monitoring

Monitoring trees

NEO is monitoring trees using satellite data and deep learning methodologies. Basic information such as height, diameter and species of trees can be monitored with our service.

Forests; Assess Deforestation / Forest Degradation; Assess forest damage due to storms or insects; Monitor forest resources; Land use; Forestry

Family, species, and genus of trees

Descripción del producto

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.

Idioma de servicio
English, Dutch
Lenguaje de metadatos
English, Dutch
Acuerdo de nivel de servicio
Commercial
Términos y condiciones
Licencia
Modo de entrega
  • Spatial data and report
Nivel comercial
Commercial
Estado del ciclo de vida del servicio
Production
Escala
Several provinces in the Netherlands
Localizador de servicios
Fecha de publicación
24 dic 2019

Beneficios

Benefits description

  • Satellite images cover a large area in a short time.
  • Low prices compared to field research
  • Forest inspectors know exactly where to look
Modelo de pago
Precio a partir de

Especificación técnica

Resolución espacial entregable
0.5 m
Precisión de entrega vertical
1.5 m
Precisión de entrega horizontal.
1.5 m
Capas raster entregables
  • Satellite mosaic
Capas vectoriales entregables
  • Change detection signals
Precisión de entrega
95%
Los formatos
  • .ECW, .shp
Modelo de datos de entrega
Flexible
Datos de entrega
Flexible
Traductor de datos
Flexible
Fecha de inicio de adquisición
2016-01-01
Fecha de finalización de la adquisición
Estado
Automatic Processing

Lugar de servicio

Netherlands

52.1532978,5.3806592

Comparar productos

0 productos añadidos

Comparar

Comparación de servicios

servicios

contenido relacionado

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.
Adicional
Adicional
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.
Adicional
Adicional
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.
Adicional
Adicional
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.
Adicional
Adicional