Geospatial services based on Earth observation data
Satellite monitoring of flooding, ground deformation, environmental changes, and maritime conditions
Earth Observation Data
Provision of SAR data
All-weather spaceborne SAR imaging: planning, acquisition, and delivery of data for monitoring land and maritime areas.
Kara Sea, Northern Sea Route, December 2025
300 km
ScanSAR swath
1 m
high-resolution mode
6–12 h
revisit time
12–24 h
data delivery time
Case study: From June 8 to 11, 2026, SAR imaging was carried out over the Bering Strait and adjacent waters. Two satellites acquired and delivered 904,570 km² of data for monitoring maritime conditions and coastal areas of the Russian Arctic.
HIGH-RESOLUTION
Spotlight
PolarizationVV
Resolution1.5 m
Scene7×7 km
WIDE-SWATH
ScanSAR
Swath100–300 km
Resolution10–20 m
Sceneup to 170×170 km
Mode
Scene, km
Resolution, m
Incidence angle, °
Cost per sq. m, RUB thousand
Application
Spotlight
7 × 7
1.5
15–39
3300
Detailed imaging of local assets and infrastructure
StripMap
25 × 25
3.0 × 3.0
15–39
259
Linear routes and pipelines
ScanSAR NS
100 × 100
12.0 × 12.0
15–39
16
Monitoring of maritime areas
ScanSAR ES
170 × 170
20.0 × 20.0
15–39
6
Wide-area coverage and ice reconnaissance
ScanSAR TopSAR
100 × 100
10.0 × 10.0
15–39
19
Interferometry and deformation monitoring
Data delivery includes:
definition of areas of interest and monitoring priorities
satellite imaging planning and coordination with satellite operators
verification of data acquisition after imaging
data transfer arrangements and advisory support
Services based on Earth observation data tailored to customer needs
We select the right Earth observation data, configure processing, and deliver the results as maps, analytics, and reports.
A service for rapid flood detection, assessment of inundated areas, and monitoring flood dynamics using satellite radar data.
10 m
SAR resolution
24/7
all-weather
VV/VH
polarization
2 cases
validated
The service uses Sentinel-1 SAR imagery and segmentation algorithms to automatically delineate water surfaces. Flooded areas are identified using a consensus decision from an ensemble of neural network models, reducing false detections and improving result robustness.
Customer deliverables:
Detection of flooded areas across open land, floodplains, and agricultural fields
Flood extent boundaries and area calculations for each imaging date
Assessment of flood expansion or recession dynamics
Flood extent map produced using a consensus segmentation algorithm
A concise analytical report covering affected areas, dynamics, and nearby infrastructure
Case study:Krasnodar Krai, June 2026: SAR and Sentinel-2 data confirmed 54.7 km² of flooding near the settlement of Zapadny.
Case study:Dagestan, March 30–April 12, 2026: two flooded areas were detected within an approximately 55×55 km zone; the main area decreased from 87.9 km² to 26.0 km².
Service 02
Monitoring deformation of the ground surface
Detection of subsidence and displacement using SBAS InSAR time series— satellite radar interferometry based on the Small Baseline Subset method.
1–30 m
resolution depending on the data source
mm
deformation measurement accuracy
from 3 days
monitoring frequency
remote
deformation monitoring using satellite data
The service detects and monitors millimetre-scale ground displacement, including subsidence, uplift, and unstable areas.
Case study: Zapolyarny open-pit mine, May 20, 2025–May 20, 2026, 30 Sentinel-1 acquisitions, 8×8 km area.
Satellite
Sentinel-1 (C-band, λ = 5.5 cm)
Pilot analysis period
May 20, 2025–May 20, 2026, 30 acquisitions
Processing method
SBAS + phase linking
Measured parameter
Displacement velocity along the satellite line of sight (LOS)
Area analysed
8×8 km around the open-pit mine
Customer deliverables:
Surface displacement velocity map in mm/year
Time series of cumulative displacement across areas of interest
Locations of subsidence zones on a satellite basemap
Conclusions on site stability and monitoring recommendations
Service 03
Environmental monitoring of land areas
Assessment of natural and industrial areas using multispectral satellite data and task-specific indices.
The service is configured for each task and may include vegetation, moisture, water-stress, degradation, bare-soil, mineral, water-body, and land-surface-temperature indices. Historical time series, change maps, regression models, and anomaly maps can also be produced.
Case studies: the Lake Moncheozero area, Kola Peninsula—analysis of NDVI, NDMI, NBR, and FMR for 1985–2025; nuclear power plant sites—historical assessment of vegetation indices and cooling-reservoir temperatures for 1984–2022.
Customer deliverables:
Index maps, difference maps, and change dynamics across the area of interest
Time series, trends, regression analysis, and Z-score anomalies
Comparison of target sites with background and control areas
Detection of vegetation stress, moisture anomalies, and thermal anomalies
Comparison with ground observations, maps, and an analytical report
Kalinin Nuclear Power Plant: cooling-reservoir temperature change
Service 04
Arctic monitoring
Operational monitoring of ice and navigation conditions, vessels, and icebreaker tracks using SAR data.
24/7
all-weather
300 km
wide-area imaging
8–12 h
monitoring frequency
SOTA
AI-powered analysis
The service monitors Arctic waters using SAR data. Processing includes assessment of ice conditions; classification of water, ice, and land; vessel detection; detection of maritime infrastructure; and track analysis.
Data
SAR imagery for monitoring maritime areas
Case-study areas
Arctic seas, ports, approach channels, and routes
Applications
ice conditions, vessels, infrastructure, and icebreaker tracks
Methods
segmentation, object detection, and track-analysis algorithms
Output
situation maps and an analytical report
Customer deliverables:
Map of current ice and navigation conditions based on recent SAR data
Detection of vessels and infrastructure in ports and approach areas
Detection of icebreaker tracks and assessment of route accessibility
Analytical report supporting operational planning and safe navigation
Infrastructure
Orbital and ground segment
The radar satellite provides all-weather, round-the-clock imaging. The ground segment receives, decodes, and processes the data—from the downlink stream to finished L1/L2 products.
A distributed network of ground receiving stations minimises data delivery latency for Arctic and remote regions.
Cooperation
Let’s discuss your project and prepare a cost estimate
Tell us about your infrastructure and requirements—we’ll recommend an integration format and data delivery method.