Data scientists, GIS engineers and software developers EOS, A California-based company, have recently launched a state-of-the-art cloud-based tool that allows users, journalists, researchers, and students to search and analyze vast amounts of up-to-date Earth observation data.
LandViewer is a real-time image processing and analysis service that offers:
- Instant access to petabytes of new and archive data;
- The possibility of finding geospatial images at any scale with two clicks, by selecting the desired area on the map or by the name of the location;
- Image analysis in real time, with the option of downloading the desired images for commercial purposes.
The EOS solution enables users to carry out multipurpose queries, find and use any Earth observation image available from the Sentinel 2 and Landsat 8 satellites in one place and much faster than before. It is a free service, easy to use, and which can be accessed from any browser or device.
Thanks to LandViewer, users can explore the Sentinel 2 and Landsat 8 satellites stored on the Amazon Cloud platform, apply search filters for the date of the image, cloud cover or sun rise, analyze the Images, download and share them with others.
Using mosaic generation technology, LandViewer can retrieve scenes of file data with any magnification in less than 10 seconds. Images can be viewed in different combinations of bands or in a spectral index in real time like the NVDI, selected to offer the information that best fits with the needs of the user. For this to be possible, EOS experts have developed a technology that transforms, in real time, raw satellite image data stored in GeoTIFF format of 16 bits in tiles, which the user can immediately see in the browser window . It is not necessary to create and store preview windows in the browser or to archive the data, since the images are immediately displayed in the browser from the primary data.
The user can apply various combinations of preinstalled and customized spectral bands to highlight and display data of any type in the image. For example, forest fires are most easily seen in the infrared spectrum. There are several bands available to analyze vegetation, agricultural lands, ice sheets, rivers, lakes and oceans. Users can examine in detail all objects located in a scene, for example, those related to fire, flood, illegal logging or management of water resources. 2014, 2015, 2016 and 2017 geospatial images can also be compared chronologically to identify changes in the development of river, forest and other natural features.
In February of the 2017, geoscientists of Israel used LandViewer In their research and extracted satellite derived bathymetry to create a 100 m grid map of the Arabian peninsula. GIS experts also conducted bathymetric analyzes of shallow water using the best images (no waves, clean atmosphere, good visualization of real bathymetry, etc.) available in LandViewer.
"At 2017, EOS will reflect the social and commercial pulse of humanity on the planet," says EOS founder and CEO Max Polyakov. In fact, the company has the most powerful technologies for remote sensing image processing, while the EOS warehouse aggregates data from several sources: satellite, air and unmanned aerial vehicles. From now on, users can access innovative technologies for image analysis based on the cloud, methods based on neural networks, point clouds - photogrammetry, change detection, and mosaic generation.