We use Earth Observation satellite images to analyse, map, monitor and forecast Earths natural resources to help our clients understand the changes and developments that are taking place.
Agriculture, Forests, Inland Water, Snow & Ice, Land Ecosystems, Land use, Topography, Geology, Urban Areas, Infrastructure, Alternative Energy, Utilities (water, electricity, waste) , Hydroelectric, Power station, Regional planners, Regulatory bodies, Wind energy
WatchITgrow is an online platform to support growers to monitor arable crops and vegetables in view of increasing yields, both qualitatively and quantitatively. WatchITgrow uses various types of data starting with satellite data combined with e.g. weather data, soil data, IoT data and field data provided by the grower. These data will be combined using new technologies such as big data analytics and machine learning to provide growers with more timely and personalized advice.
Agriculture, Land use, Farming
VITO provides innovative and high-quality solutions, whereby large and small companies can gain a competitive advantage, and advises industry and governments on determining their policy for the future. VITO has 750 highly-qualified employees who work on international projects all around the world.
Agriculture, Land use, Farming, Insurance & Finance
World from Space
World from Space is a company focusing on the creation of applications based on Earth Observation (EO) and other data, especially from the Copernicus programme. WFS has experience with EO data processing (multispectral, SAR), spatial and temporal data analysis, visualizations, machine learning and integrations into software platforms or GIS. WFS fosters agile EO development with focus on activities that bring the most value in areas of agriculture, cities, air quality, development asiistance and the environment. WFS participates on ESA contracts, H2020 research projects and consultations on the use of Copernicus data and services. World from Space is incubated in ESA BIC Brno, take part in Copernicus Incubator and is the winner of the Copernicus Masters 2018.
Agriculture, Atmosphere, Urban Areas, Land Ecosystems, Environmental, Pollution & Climate, Farming
Riscognition provides direct access to complex geospatial information and analysis ready data through a suite of REST APIs. This reduces development time for geospatial data integration significantly. A catalogue of API endpoints is continuously expanded based on customer requirements. Data of third parties is hosted as a service and correspnding APIs are co-developed. The service includes user management and payments. The team offers also IT and domain expertise to bring client's data assets to the masses.
Land use, Agriculture, Monitor crops, Farming, Forestry
Providing services able to support agriculture activities to resist and adapt to climate change and at the same time ensuring the increase of productivity in a sustainable manner. Showcasing that Copernicus data sets combined with the necessary in-situ data (collected based on information collected from farm machines, industry experts and field sensors), weather and soil data can deliver improved information for-and deliver economic value to European agricultural industry and farmers. The concept is built upon a smart combination of in situ, weather and EO data. Data collected in the GEOGLAM pilot of the Agricultural showcase will be adapted to address the needs of the agro industry.
Proposal: The service aims at supporting agriculture activities to resist and adapt to climate change and at the same time ensuring the increase of productivity in a sustainable manner. The provision of improved indicators for agricultural monitoring based on in situ, meteo, soil and RS data, addresses the needs of agro industry and farmers. The tool supports agro consultants in their advice to farmers and demonstrate methodologies implementable at field level.
Agriculture, Land use, Farming
The aim is to demonstrate how Copernicus data can be used, in combination with other ancillary datasets (in situ data, static maps,…), to provide improved indicators for agricultural monitoring in an operational setting. Through previous discussions with and among the end users, the EAV (essential Agricultural Variable) crop calendar was identified as a suitable showcase, given its relevance in many monitoring systems, while it is currently not available at the Sentinel 1&2 resolution and at a larger scale. We will build on existing methodologies that are currently incorporated in different operational services, but with further improvements and adaptations that will be required to tackle issues that arise when monitoring agricultural areas at such a high resolution. On the other hand, because of the high resolution, parcel-level monitoring now becomes feasible in many regions of the world. This parcel-level monitoring has many advantages, which open up opportunities to also improve the definition of crop calendars with EO data.
Date: January 26, 2022
Proposal: Building on existing operational tools and modifying them to meet the specific user needs of the GEOGLAM community. Integrating the above mentioned datasets with the Copernicus DIAS storage and processing power. This will allow the monitoring of several essential climate variables (e.g. LAI) and the development of agricultural metrics that are more quantitative and look beyond the current growing season as requested by the GEOGLAM community represented by the GEOGLAM secretariat.
Agriculture, Land use
Land and Land Cover Analysis
AutoMap is the easy way to harness the power of satellite images on the cloud.
Agriculture, Infrastructure, Land Ecosystems, Land use, Farming, Insurance & Finance, Local and regional planners
Latitudo 40 has created the easiest and fastest platform to turn satellite imagery into geospatial information to support everyday decisions.
Agriculture, Climate, Floods, Infrastructure, Land Ecosystems, Land use, Urban Areas, Environmental, Pollution & Climate, Farming, Forestry, Insurance & Finance, Real-estate management, Utilities (water, electricity, waste) , Alternative Energy
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, Forest policy, Forest policy makers, Logging industry, Wood industry
Geosystems Hellas S.A.
The company’s vision is helping organizations harness the information of the changing earth for greater advantage, by creating geospatial business systems that transform our earth’s data into business information
Fires, Coastal, Infrastructure, Land Ecosystems, Land use, Landslides, Forests, Agriculture, Topography, Security, Farming, Forestry, Real-estate management, Retail and Geo-marketing, Humanitarian Operations and Health, Environmental, Pollution & Climate, Transportation
Mutation Signalling on agriculture parcels in the Netherlands
Agriculture parcel boundaries change continuously through time. Monitoring, based on satellite imagery in combination with artificial intelligence, aims to detect changes in the boundaries of the parcels.
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
Parcel change detection in the Netherlands
The Dutch paying agency, RVO (Rijksdienst voor Ondernemend Nederland), is required to maintain the registration of agricultural parcels in the LPIS (Land Parcel Information System). The process of keeping the registration up to date with the actual situation in the field is a challenge, as annually 5 to 10% of the parcel geometries change. An automated change signalling service is required to speed up the process of manually checking aerial imagery for changes in geometry of the parcels.
Proposal: 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.
Public Authority, Agriculture, crop acreage, Monitor crops, Assess land value, ownership, type, use, Land use, cadastral, parcels use, Farming, Agricultural commodities, Agriculture and rural development policy, Agriculture and rural policy makers, Local and regional planners, City authorities, Regional governments, Town authorities, Real-estate management
ExoLabs is a Swiss company located in Zurich, founded in 2017 as a spin-off of the University of Zurich. Remote sensing is our common interest and scientific background.
Agriculture, Forests, Land use, Snow & Ice, Forestry, Farming, Environmental, Pollution & Climate, Insurance & Finance, Travel, Tourism and Leisure
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, Farming, Forestry, Oil and Gas, Real-estate management, Retail and Geo-marketing, Utilities (water, electricity, waste)
Land Cover Analysis
10m resolution digital land cover anlaysis with 13 different land cover classes. Derived automatically from free Sentinel 2 imagery which provides global coverage and a 5 day refresh cycle.
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
A data driven decision support system for real estate.
Land use, Topography, Urban Areas, Land Ecosystems, Environmental, Pollution & Climate, Local and regional planners
Helping organisations transition towards data driven strategy.
Land Ecosystems, Land use, Urban Areas, Infrastructure, Local and regional planners