NadirEO Catalog
Browse and access Earth Observation solutions
Showing 18 of 18
Geosphere: Ground Motion
Visualises millimetre-scale ground motion from satellite interferometry, with the displacement time series of every single measurement point.
DetailsGeosphere: Ground Motion
Geosphere is the WebGIS client for PS-InSAR ground deformation data based on the European Ground Motion Service. Draw the area, pick level, orbit and motion component, and the result is a map of measurement points coloured by displacement velocity: subsidence, uplift, slope instability, settlement near major infrastructure.
Change Detection
Finds real changes on the ground between two dates, separating them from the false changes caused by shadows and seasonal vegetation.
DetailsChange Detection
The service compares two super-resolved Sentinel-2 images of the same area acquired on different dates and returns polygons of what actually changed: new construction, demolition, earthworks, land-use conversion.
The initial change map comes from principal component analysis followed by K-means clustering on the difference image — an unsupervised approach that needs no training data. The real value, though, is in what comes next: the two great producers of false change — shadows, which move with the solar angle between acquisitions, and vegetation, which changes with the season — are masked explicitly. Shadows are detected with multiple thresholds and then projected according to each scene’s actual solar angle, so a shadow shifting position is never mistaken for a change on the ground.
Burnt Area Detection
Delineates the area burnt by a wildfire from Sentinel-2 imagery before and after the fire, cross-checked at native and super-resolved scale.
DetailsBurnt Area Detection
The application produces the perimeter of a burnt area after a wildfire, from a pair of Sentinel-2 images acquired before and after the event. The result is a vector layer ready for damage assessment and restoration planning.
The indicator is dNBR, the difference in the normalised burn ratio derived from the near-infrared and short-wave infrared bands — the most reliable spectral signature of charred vegetation. What sets it apart is the double pass: dNBR is computed both on the native Sentinel-2 pair and on the super-resolved pair, and the final perimeter is the intersection of the two. The two resolutions validate each other, cutting the false positives a single threshold would produce.
The perimeter is then cleaned of isolated fragments and smoothed before export.
Sustax – Climate Intelligence
Sustax (by Geoskop) delivers highly accurate, validated, decision-ready global climate data — historical reanalysis and forward-looking scenario projections — as standardised, ready-to-use datasets for climate-risk and impact analysis.
DetailsSustax – Climate Intelligence
Sustax, developed by our partner Geoskop, is a climate-data platform that turns raw climate information into accessible, standardised, decision-ready datasets. It combines CMIP6 climate projections with ERA5 reanalysis, so you get both historical observations and future scenarios across the IPCC Shared Socio-Economic Pathways (SSP1-1.9 … SSP5-8.5).
Data is available as daily variables and monthly climate indices across five domains — temperature, precipitation, wind gust, relative humidity, and solar radiation — on a global grid. ERA5 covers 1979–2022 and the CMIP6 projections run to 2080. Every dataset is bias-corrected and validated against ERA5, with accuracy metrics and model-spread information provided for transparency about uncertainty.
On NadirEO you request any Sustax dataset for your location through the platform API; the service returns a time-series export you can integrate directly into your risk and impact workflows.
Data Access
NadirEO unified access to over 200 open Earth data sources — satellite, climate, elevation, land cover, and more, with on-the-fly search, clipping, and delivery.
DetailsData Access
NadirEO Data Access is the platform’s unified gateway to Earth data, providing resilient, on-demand access to a broad catalogue of more than 200 open sources — spanning far beyond satellite imagery. Alongside optical and radar missions such as Sentinel-1, Sentinel-2, and Landsat, the service reaches climate and weather reanalysis, elevation and terrain models, land cover and land-use datasets, vegetation and biomass products, population and built-environment layers, and a wide range of environmental and geophysical datasets.
Built on cloud-native geospatial standards, the service discovers data through STAC catalogues and reads directly from public cloud storage, returning only the area and variables requested rather than depending on the rate-limited APIs of individual providers. Users simply select the dataset, area of interest, time range, bands or variables, and output format; the service transparently handles spatial clipping, multi-scene mosaicking, format conversion, and reliable delivery at scale, combining unrestricted free sources with a managed queue for rate-limited archives.
Fully integrated with the NadirEO ecosystem, Data Access acts as the data foundation for the platform’s application modules and services — from super-resolution and flood delineation to hazard assessment — feeding analysis-ready data directly into automated Earth Observation workflows, or delivering it to your own tools and pipelines through a developer-friendly API. By removing the complexity of multi-source data retrieval, it lets teams focus on analysis and decision-making rather than data logistics.
Flood Mapping
An end-to-end service that maps the extent of a flood by comparing Sentinel-1 radar images taken before and after the event, and publishes the result as a browsable map.
DetailsFlood Mapping
An end-to-end service that produces a flood map on demand, starting only from an area of interest and the date of a flood event. The service automatically requests the required Sentinel-1 radar imagery through the platform’s Data Access layer, runs the flood delineation to extract the extent of the inundated areas from before- and after-event radar acquisitions, and publishes the resulting flood map directly to GeoNode, where it can be explored, shared, and combined with other layers. By orchestrating data retrieval, processing, and publication into a single automated workflow, it removes the need for manual data search and processing, delivering a ready-to-use flood-extent map shortly after the event. Because it relies on radar data, mapping is possible even through cloud cover, making the service well suited to rapid post-event response, damage assessment, and insurance claim verification.
Flood Delineation
Earth Observation application that extract the extent of flood events using radar satellite imagery.
DetailsFlood Delineation
Earth Observation application that maps the extent of flood events using radar satellite imagery. By comparing pre- and post-event acquisitions, the service delineates inundated areas and identifies affected assets and land, supporting damage assessment, and insurance claim verification. Radar data enables mapping even under cloud cover. Outputs are delivered as flood-extent layers ready to use.
Burnt Area Mapping
Earth Observation service mapping the extent and severity of wildfire events using satellite imagery. By analysing pre- and post-event acquisitions, the service delineates burned areas, estimates burn severity, and quantifies the affected surface, supporting impact assessment, damage estimation, and post-event recovery planning. Outputs are delivered as burned-area perimeters and severity maps ready to use.
Space Academy
A catalogue of space training services built on 60+ years of operational experience, delivered by global space experts.
DetailsSpace Academy
“The academy features a catalogue of space training services that is built upon over 60 years of operational experience across the full range of space sector disciplines, delivered by global space experts with decades of experience.
Training spans subjects including Earth observation, satellite navigation, satellite communications, ground segment operations and engineering, satellite operations, space engineering management, and space business-related disciplines. A combination of hands-on and theoretical training can be delivered, and can be targeted at different levels (beginner, intermediate, advanced).
Training programmes can be customised to your needs and are delivered by a team of international experts from world-leading international facilities in Europe (Italy, Germany, the Netherlands, and the UK), or delivered locally subject to the availability of the necessary infrastructure, facilities, and resources. Where training is delivered locally on the client’s premises, the team works with the client to ensure the facility is suitably equipped to deliver the training.”
JupyterHub
Collaborative platform to run Jupyter Notebooks on shared infrastructure for EO data processing and analysis.
DetailsJupyterHub
JupyterHub is a collaborative platform that allows multiple users to access and run Jupyter Notebooks through a shared web interface. It is built to support teams working on data science, research, or education by providing isolated environments for each user while running on centralized infrastructure.
In the context of Earth Observation, JupyterHub is especially useful for processing satellite data, running geospatial analyses, and sharing reproducible workflows. It enables scientists, developers, and analysts to work together efficiently, using powerful computing resources and standardized tools, all accessible from a browser.
GeoNode
Open-source geospatial content management system to publish, share, and collaboratively use geospatial data and maps.
DetailsGeoNode
GeoNode is an open-source geospatial content management system – a platform for the management and publication of geospatial data. It brings together mature and stable open-source software projects under a consistent and easy-to-use interface, allowing non-specialised users to share data and create interactive maps. Built-in data management tools support the integrated creation of data, metadata, and map visualisations, and each dataset can be shared publicly or restricted to specific users. As a flexible and extensible platform (an OSGeo project), it can be customised and integrated with other applications to meet specific requirements.
ArcGIS Enterprise
Comprehensive Esri GIS platform to manage, analyse, and share spatial data in a secure, scalable infrastructure.
DetailsArcGIS Enterprise
ArcGIS Enterprise is a comprehensive geographic information system (GIS) platform developed by Esri that allows organizations to manage, analyze, and share spatial data within a secure, scalable infrastructure. It is designed for deployment on-premises or in cloud environments and is often used by governments, utilities, transportation agencies, and other organizations that rely heavily on geospatial data. Within the platform, it provides the GIS environment used to build interactive dashboards and analytical products over Earth Observation outputs – for example asset condition indices, hazard dashboards, and transportation-asset management views.
GeoReporting
Collaborative environment to integrate datasets, visualise geospatial information, and generate Earth Observation reports.
DetailsGeoReporting
This collaborative solution simplifies and enhances the creation of Earth Observation reports. Teams can seamlessly integrate diverse datasets, visualize geospatial information, and generate insightful reports using intuitive, efficient tools. The platform streamlines the entire workflow, from initial data ingestion to the final report output. By fostering teamwork and providing user-friendly features, this system empowers organizations to produce high-quality Earth Observation reports with greater clarity and speed, ultimately improving understanding and decision-making based on valuable Earth insights.
Historical Fire Events
Identifies assets and infrastructure historically affected by fires using EFFIS Copernicus data.
DetailsHistorical Fire Events
Historical Fire Events uses historical fire data from EFFIS Copernicus to pinpoint assets and infrastructure previously affected by fires. By overlaying historical fire perimeters with asset locations – buildings, roads, power lines, and other infrastructure – in a GIS, the service identifies overlaps and proximities and reveals which assets are historically fire-prone. This data-driven understanding of past fire impacts on existing infrastructure informs risk assessments, land-use planning, and targeted mitigation, and enhances emergency preparedness and climate-change adaptation strategies. Outputs are delivered as georeferenced layers summarising the assets and infrastructure involved in past fire events.
Airport Monitoring
Satellite-based monitoring of airport infrastructure for safety, efficiency, and regulatory compliance.
DetailsAirport Monitoring
Space geospatial intelligence plays a crucial role in enhancing airport safety, efficiency, and sustainability. By leveraging satellite data and advanced analytics, airports can monitor infrastructure conditions, detect anomalies, and ensure regulatory compliance, supporting smarter, more resilient, and data-driven operations.
The service combines multiple satellites and sensors (radar, optical, and multispectral) to monitor airport infrastructure performance together with its surrounding environment. Historical satellite analysis allows past data to be reviewed to identify previously unknown issues, such as differential settlement of structures and runways or unauthorised vegetation and building encroachments. AI combines regulations, best practices, satellite data, asset characteristics, and client constraints to improve the identification of critical issues and prioritise actions and interventions. The approach is applicable and scalable for any type of airport asset operator, optimising costs and increasing return on investment for the monitored areas.
Solar Panel Detection
Automatic detection and mapping of solar panels from satellite imagery using AI.
DetailsSolar Panel Detection
Solar Panel Tracker is an Earth Observation service designed to automatically detect and map solar panels using satellite imagery. Leveraging advanced image analysis and AI algorithms, it identifies photovoltaic installations across both urban and rural areas, producing a geolocated inventory of solar assets over the area of interest. The application supports energy infrastructure monitoring, planning, and sustainability assessments – for example mapping the spread of distributed photovoltaic capacity, supporting grid and asset planning, tracking the growth of installations over time, and informing renewable-energy and sustainability reporting. Outputs are delivered as georeferenced layers ready for integration into GIS and reporting workflows or directly on Geonode application to visualise them.
Sentinel-2 Super Resolution – 1m
API-based access to Gamma Earth super-resolution for S2 imagery from 10 m to 1 m spatial resolution.
DetailsSentinel-2 Super Resolution – 1m
An Earth Observation pre-processing module that enhances the spatial resolution of Sentinel-2 imagery, producing 1-metre super-resolved images from standard 10-metre products.The solution is designed to submit satellite imagery directly to Gamma Earth’s processing pipeline, retrieve enhanced outputs programmatically, and integrate results into broader EO workflows or visualization platforms. This API-based approach ensures scalability, automation, and flexibility for Earth Observation applications, particularly in environmental monitoring, disaster response, and land analysis. Thanks to its modular and developer-friendly architecture, the solution can be easily integrated into third-party applications, enabling developers to embed Gamma Earth’s capabilities directly into their own tools, dashboards, or data pipelines.
Sentinel-2 Super Resolution – 5m
Single-image super-resolution that enhances Sentinel-2 imagery from 10 m to 5 m spatial resolution.
DetailsSentinel-2 Super Resolution – 5m
An Earth Observation pre-processing module that enhances the spatial resolution of Sentinel-2 imagery, producing 5-metre super-resolved images from standard 10-metre products. The module reconstructs ten Sentinel-2 bands – B02, B03, B04, B05, B06, B07, B08, B8A, B11 and B12 – at 5-metre resolution from L1C or L2A inputs. By increasing the effective level of detail, it improves the quality of downstream analyses such as object detection, land cover classification, and change detection, and integrates directly into Earth Observation processing workflows on the platform.
