How it works
From location to insight in a few clear steps.
Define what matters, analyze the observations available for it, review what changed with the evidence alongside, and put the result to work.
- 01
Choose a location
Draw an area, search for a place, or upload a boundary to define what matters.
- 02
Analyze observations
Explore available imagery, compare dates, and apply suitable geospatial analytics.
- 03
Review what changed
Visualize potential changes and examine the evidence and data quality behind them.
- 04
Put insights to work
Share results through maps, reports, alerts, or connected workflows.
Under the hood
The processing pipeline, stage by stage.
Each stage keeps its inputs and decisions attached to the result, so a finding can always be traced back to where it came from.
Area of interest, data discovery, data quality checks, preprocessing, spatial and AI analysis, review and context, then map, report, or API output.
- 01
Area of interest
A drawn polygon, a searched place, an uploaded boundary, or a saved asset.
- 02
Data discovery
Find suitable observations for the area and time window from available sources.
- 03
Data quality checks
Screen for cloud cover, coverage gaps, resolution, and licensing constraints.
- 04
Preprocessing
Align, mask, and prepare imagery so observations can be compared fairly.
- 05
Spatial and AI analysis
Classification, comparison, anomaly, and change-detection methods.
- 06
Review and context
People confirm, correct, or dismiss findings with the source evidence alongside.
- 07
Map, report, or API output
Results leave as maps, summaries, alerts, exports, or integrations.
What shapes a result
Satellite data is powerful. It is also physical.
GeoVeyra communicates observation timestamps and data-quality conditions instead of implying live coverage everywhere. These are the factors we review with every team.
- Revisit
- How often a sensor passes over your area sets the earliest a new observation can exist.
- Cloud cover
- Optical sensors can't see through cloud. Radar can, but shows the surface differently.
- Spatial resolution
- Pixel size decides the smallest feature an analysis can reliably separate.
- Time interval
- Seasons, harvests, and tides create change that isn't the change you care about.
- Licensing
- Some imagery carries terms on access, use, and redistribution of derived outputs.
- Review
- Consequential findings deserve a person's confirmation before anyone acts on them.
Read more in Revisit, resolution, and cloud cover.
Walk through the workflow on your own area of interest.
Tell us what you want to monitor or understand. Let's explore how geospatial intelligence could fit your workflow.