Intelligent analytics and monitoring using satellite data
TerraEye is a global analytics and monitoring service that utilizes satellite data (multi- and hyperspectral, infrared and interferometric radar aperture technology, inSAR), artificial intelligence and predictive analytics to provide accurate and real-time information on environmental and infrastructure changes.
The service is browser-based, so there is no need to install separate software. TerraEye also offers an open software interface, which enables easy integration and, for example, the transfer of visual map-layers to other platforms and applications. TerraEye is easy to use by design, doesn’t require special knowledge. The system produces reports and analyzes in a clear and visual format, so that even complex information can be easily understood and used in decision-making.
With TerraEye, the current state can be compared with historical data from several years ago using already existing satellite data, which enables effective detection and analysis of changes.
In addition, the system is learning - the accuracy of analysis can be further improved with samples and measurements taken from the terrain.
Whether you are monitoring water quality, biodiversity, habitats of endangered species, the effects of climate change, changes in land surface or land use, or prospecting for ore, TerraEye offers an efficient, fast and reliable solution to support decision-making.
Water bodies
Regarding water bodies, it is possible to monitor water level fluctuations, flood seasons, shoreline erosion, eutrophication and the effects of human activity on water bodies. Satellite measurements and images can also be used to monitor the physicochemical parameters of surface water (e.g. solids, turbidity, chlorophyll, iron, COD and CDOM), assess their effects on water bodies in the studied area, identify deviations and, for example, detect possible leaks.
The resolution for monitoring water bodies is at best 1.2 x 1.2 meters. At best, the measurement frequency can be up to every two days for any water body over its entire surface area.
If the results provided by the model are to be further refined, samples taken from the terrain can be used to calibrate the model. However, thanks to the system's extensive reference data, this is not necessary.
Examples of water quality monitoring:
Biodiversity
The state of vegetation can be assessed using several parameters, such as vegetation moisture, density and leaf green content. In addition, the success or decline of a selected plant class can be compared between selected dates. The desired plant types and areas for monitoring can be taught to artificial intelligence on a region-specific basis. This allows, for example, the habitats of rare plants and animals to be located quickly over a large area, thus speeding up the mapping of vulnerable areas.
In the image, known occurrences of endangered species are shown in white and similar habitats are shown in blue.
Natural moisture content and snow
Monitoring natural moisture content can be used, for example, to monitor the moisture content of wetlands and the rate of snow melting. The service can also be used to monitor the accumulation of meltwater and the routes of surface water in catchment areas. The service provides a completely new tool for water management.
The image shows the moisture content of the peatland in Viiankiaava on September 8, 2023 (MWI, Mire Wet Index)
Changes in land surface and land use
Satellite radar data enables, for example, monitoring of land subsidence and the stability of dams. In addition, the areas of different land uses can be measured quickly and accurately even over large areas. The system automatically identifies the area taken into use for mining operations from a specified area, as well as the subcategories of land use, such as open pit mining, tailings areas, tailings areas and any built infrastructure. Radar data can also be used to calculate the volume of tailings areas.
The system measures the areas of the above-mentioned areas at a desired timeline. In this way, land use and its changes can be monitored, for example, through time parameters from the current state retrospectively to a desired time.
The application's land use function is particularly useful for authorities and financers, for example to get a quick overview of the area and its development in time. Illegal mining, which has become a problem in some countries, is also possible to detect with satellite monitoring.
The image illustrates changes in the ground level in the Cadia Mine mining area in Australia.
Mineral mapping
TerraEye uses multi-channel satellite imagery to identify geological features that may indicate mineral deposits.
Based on this information, TerraEye creates a detailed terrain map, identifying potential fault lines and surface outcrops. In addition, the system can autonomously generate mineralization maps, which are then compared to results from open databases. This allows for the identification of mineral potential areas and helps to direct field investigations more effectively.
✅ SAM (Spectral Angle Mapper) – Identifies minerals by comparing spectral information with known data.
✅ MTMF (Mixture-Tuned Matched Filtering) – Improves the accuracy of analysis for mixed pixels.
✅ Geological spectral indices – Highlight important geological features.
TerraEye does more than speed up mineral exploration – it can significantly shorten the initial exploration process and reveal areas that have previously been overlooked. An easy-to-use, visual reporting system helps mineral prospectors and geologists make more accurate decisions, reduce the need for fieldwork, and optimize resource use.
Rapid mapping of large areas or detailed analysis? Whichever you choose, the result is faster research, smarter targeting, and a clearer path to discoveries.
Minerals detected by satellite (Geologsfjord, Greenland) in the image.
Factors limiting satellite measurements:
Snow cover is a limiting factor in imaging the ground surface, and cloudiness can occasionally limit the visibility of satellites. Similarly, detecting minerals in terrain with high cover (trees, dense undergrowth) is also challenging.
However, filtering out thin vegetation from images is possible using an advanced algorithm and combining data from multiple satellites. As the measurement resolution of satellites improves, the problems caused by cover also decrease.
Environmental monitoring abbreviations
Here you will find a comprehensive list of abbreviations used in the TerraEye platform for environmental monitoring. The abbreviations cover vegetation indices, water quality metrics, and snow cover analysis, among others. The list helps users understand key parameters and their applications in remote sensing and environmental assessments.
Contact us
and book a service demonstration!
Markus Latvala
markus.latvala@feasib.com
+358 40 149 7541
Anu Keränen
anu.keranen@feasib.com
+358 40 195 2626
Contact!
Feasib Consulting
Vierimaantie 5
84100 Ylivieska
Feasib Analytics
Kummuntie 8
85560 Nivala
Business ID: 1070074-8
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