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.

SAR image of the Kara Sea
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.
Spotlight high-resolution mode
HIGH-RESOLUTION
Spotlight
PolarizationVV
Resolution1.5 m
Scene7×7 km
ScanSAR wide-swath mode
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.

One end-to-end workflow
Satellite data Algorithmic processing Thematic maps Decision-ready insights
Service 01

Flood
monitoring

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.
Flood monitoring in Krasnodar Krai
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.
Map of flooded areas in Dagestan
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.

Ground subsidence trend
Case study: Zapolyarny open-pit mine, May 20, 2025–May 20, 2026, 30 Sentinel-1 acquisitions, 8×8 km area.
SatelliteSentinel-1 (C-band, λ = 5.5 cm)
Pilot analysis periodMay 20, 2025–May 20, 2026, 30 acquisitions
Processing methodSBAS + phase linking
Measured parameterDisplacement velocity along the satellite line of sight (LOS)
Area analysed8×8 km around the open-pit mine
Surface displacement velocity map
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
Vegetation dynamics (NDVI)
NDVI vegetation dynamics
Vegetation condition dynamics (NBR)
NBR vegetation condition dynamics
Kalinin Nuclear Power Plant: cooling-reservoir temperature change
Cooling-reservoir temperature change at Kalinin Nuclear Power Plant
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.

Examples of ice-condition analysis
DataSAR imagery for monitoring maritime areas
Case-study areasArctic seas, ports, approach channels, and routes
Applicationsice conditions, vessels, infrastructure, and icebreaker tracks
Methodssegmentation, object detection, and track-analysis algorithms
Outputsituation maps and an analytical report
Icebreaker track detection
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.

Map of ground stations
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.