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Earth Observation: find, store, analyze and process GIS data within a single EOS platform

Most image analysis tasks can now run online thanks to EOS Platform, a new cloud service by EOS Data Analytics for search, analysis, storing, and visualization of geospatial data.

With EOS Platform you get access to an ecosystem of four mutually integrated EOS products, which together provide a powerful toolset for geospatial analysts. Image data is stored in cloud-based EOS Storage and is available for image processing or remote sensing analysis at any time; this can be a raw user file, an imagery obtained from LandViewer or an output file from EOS Processing.

There are at least two reasons why image processing is the platform’s major asset: the processing of large data amounts runs online and offers as many as 16 workflows with even more coming soon. On top of that, users can get the best cartographic features of EOS Vision for vector data visualization and, as announced for the future, its analysis.

1 – A list of EOS Processing workflows that can be filtered by industry, input data type

When it comes to raster data, you can work with a variety of satellite and airborne datasets in LandViewer, EOS Processing, and EOS Storage. Users can also upload their own GeoTiff, JPEG, JPEG 2000 files and apply GIS data processing algorithms via API or from the web interface. EOS Vision is your tool for vector data operations with multiple formats support (ESRI Shapefile, GeoJSON, KML, KMZ).

The whole package for image processing

EOS Processing offers a great experience with its sixteen processing workflows, including the popular raster tools (merge, reprojection, pansharpening), remote sensing analytics, photogrammetry, and proprietary feature extraction algorithms that can’t be found anywhere else. Get your data ready for the upcoming LiDAR analysis and 3D modeling as they’ll become available soon.

Such pre-processing tasks as cloud detection or radiometric calibration help you refine raw data for further analysis: you can correct images for atmospheric effects and obtain the real ground radiance or reflectance values.

Object detection, change detection, and classification

The convolutional neural networks, pre-trained by EOS Data Analytics to extract features from imagery, let you apply state-of-art methods to detect objects and track changes from space.

  • Having only a set of multi-temporal images and change detection workflow, you can track how illegal deforestation progresses over time.

2 – Agricultural lands in Southern Ukraine, field edges detected by EOS proprietary algorithm.

  • Edge detection can show the exact boundaries of your agricultural lands down to the last pixel.
  • It is possible to estimate the parking lot traffic of largest shopping centers with car detection algorithm.

The best of spectral analysis

Products within EOS Platform support almost all remote sensor types and the user can choose from a long list of spectral indices to calculate on the fly. Aside from the complete set of vegetation indices (NDVI, ReCI, ARVI, SAVI, AVI, etc.), there are also indices to outline landscape features (water, snow and ice – NDWI, NDSI) and burned areas (NBR). The greatest thing is that here you get the freedom of experimenting with spectral bands and can create custom band combinations that best fit your purposes.

3 – A false-color Sentinel-2 image of General Levalle, Argentina, in which red represents vegetation.

The user-friendly interface of EOS Processing makes it easy to manage processing workflows depending on the user’s business needs. You can set the parameters for processing and repeatedly use such customized workflow to automate high-frequency analytical tasks. The coming updates will add an ability to create custom algorithms from the available data processing operations.

Agriculture, forestry, oil and gas, and more industries

A tandem of EOS products offers a much-needed solution for individuals, businesses, and organizations across numerous industries.

With vegetation indices and crop classification feature, agronomists can continuously monitor crop conditions to detect plant diseases, pests, droughts. Forestry specialists can assess fire damages, monitor forest health, track and enforce logging restrictions.

EOS Platform is a great choice for regional and urban planning, helping users identify land cover classes to generate a vegetation map. It can also make a complete list of urban features like buildings, roads, and other major features in the region.

4 – Vehicle detection algorithm in action. The parked cars are outlined and color-marked depending on their paint color

The platform can tackle disaster management by measuring flood extent and finding fire boundaries. When it comes to oil and gas, it is capable of identifying oil rigs and assessing the environmental impact.

EOS Data Analytics uses cloud-based services to address different verticals with a single platform, scientifically proven analytics, scale-ups and it builds products that could add value to remote sensed data to deliver expert-level results for your business.

Unlock the full potential of Earth observation data with EOS Platform, directly in your browser: https://eos.com/platform

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