Sentinel-1
SAR backscatter for all-weather structure, surface response and change.
Monitor what changes.
Understand what matters.
OrbitalMosaic brings aligned satellite observations, contextual geospatial layers and ready-to-run analytical workflows into one monitoring environment.
- Multi-sensor
- S1, S2, S3 and context layers
- Persistent
- Recurring monitoring over time
- Actionable
- Maps, metrics and export-ready outputs
Water persistence
Observation stack ready
Sentinel-1 SAR
Sentinel-2 optical
Sentinel-3 regional
Weather and terrain
LULC and infrastructure
Analysis-ready by design
One aligned stack, ready for consistent analysis across space and time.
Sentinel observations, quality information and contextual layers are aligned around the same place and monitoring period, so derived indicators and model workflows remain connected to their source evidence.
Sentinel-2
Multispectral imagery for surface condition, indices and segmentation.
Sentinel-3
Regional observations for wider environmental and water context.
Quality masks
Cloud, shadow and observation-quality layers retained with each scene.
Geospatial context
DEM, terrain, LULC, protected areas, roads, settlements and critical infrastructure.
Weather and climate
Rainfall, temperature, wind and related variables aligned to the monitoring period.
Prepared for use and download
Aligned rastersMasksMetricsVectorsMetadataWater Persistence Monitoring
Built first as a water observatory for Crete, the platform turns recurring observations into a coherent record of surface-water conditions, seasonal behavior and meaningful change.
From area selection to a repeatable monitoring run.
Draw an area of interest, select the period and observation cadence, and let OrbitalMosaic assemble the monitoring stack for the selected site.
- Area-of-interest setup and monitoring window
- Recurring acquisition and quality screening
- Consistent comparison across observation dates
02
Water presence, not a single snapshot
Build a frequency view from multiple valid masks to distinguish persistent water from seasonal or intermittent coverage.
03
Track extent through time
Review water extent as a time series, identify departures from recent behavior and retain the full observation history.
Choose the question. Keep the workflow reproducible.
Users select an area, observation period and analytical workflow. OrbitalMosaic returns inspection-ready maps, change summaries, time series and downloadable results.
Water segmentation and persistence
Map surface water, build water-presence frequency and track extent through time.
- Segmentation masks
- Extent time series
- Persistence probability
Burned-area mapping
Segment fire-affected land and compare post-event observations with the pre-event baseline.
- Burn scar mask
- Affected-area summary
- Post-fire comparison
Solar farm detection
Identify utility-scale photovoltaic installations and monitor expansion across reporting periods.
- Site polygons
- Area estimates
- Growth comparison
Infrastructure change detection
Locate meaningful construction and land transformation between aligned observations.
- Before / after inspection
- Change response map
- Area-of-change summary
Vegetation recovery
Follow the return, persistence or decline of vegetation after fire, drought or land disturbance.
- Recovery trajectory
- Index trends
- Spatial recovery classes
Land-cover transitions
Explain change as a transition between classes, such as vegetation to bare ground or built-up land.
- From / to classes
- Transition matrix
- Mapped change zones
Model availability depends on data coverage and pilot configuration.
Change you can see, locate and review.
The model response remains linked to the source observations. Analysts can inspect the before and after imagery, move the comparison curtain and review where the model concentrated its response.
Before / after imagery
Drag the curtain
Change response
aligned
Evidence first.
Use the response map to focus inspection, then return to the aligned observations for interpretation and reporting.
Built around the monitoring decision, not the satellite scene.
Every run keeps the selected place, dates, data inputs, model workflow and outputs connected. The result is easier to repeat, compare and hand over.
- 01
Define the area
Draw or select the location that needs persistent monitoring.
- 02
Set the period
Choose the baseline, monitoring window and recurrence.
- 03
Assemble the stack
Align observations, quality masks and contextual layers.
- 04
Run the workflow
Select the analytical model and produce comparable outputs.
- 05
Review and export
Inspect evidence, compare dates and download the results.
One monitoring area, multiple aligned views
Open Water Persistence Monitoring.
The live application is loaded only when requested, keeping this product page fast while preserving direct access to the working environment.
Live application not loaded.
Persistent monitoring, developed close to the science.
OrbitalMosaic is currently in prototype development, with an initial inland-water pilot in Crete, Greece. The same repeatable monitoring approach is being extended to hazards, ecosystems and infrastructure.
Request a demo