Resources
Understand Earth observation before you rely on it.
Plain-language guides, a working glossary, and straight answers about what satellite data can and can't tell you.
Guides
Practical guides.
Change detection
What is satellite change detection?
Change detection compares observations of the same place from different dates to find where the surface appears to have changed. Done well, it focuses attention. Done carelessly, it mistakes seasons, clouds, and shadows for events.
Data fundamentals
Revisit, resolution, and cloud cover: what shapes satellite data freshness
Satellite imagery is collected on orbits, through an atmosphere, at a fixed pixel size. Those three facts decide how often you can see a place, how small a change you can detect, and how often the view is blocked.
Formats and integration
A practical guide to cloud-native geospatial formats: COG, STAC, GeoParquet, and GeoJSON
Cloud-native formats let software read just the part of a dataset it needs, straight from object storage. Four of them cover most Earth observation workflows: COG for rasters, STAC for catalogs, and GeoParquet and GeoJSON for vectors.
Responsible AI
Why geospatial AI needs human review
AI is very good at pointing to where something may have changed. It is less good at knowing when it is wrong. Human review turns fast model output into findings an organization can stand behind.
Glossary
Terms you'll meet.
- Area of interest (AOI)
- The geographic boundary you want to analyze, such as a drawn polygon, an uploaded boundary file, or a saved asset.
- Change detection
- Comparing observations of the same place from different dates to find where the surface appears to have changed.
- Cloud Optimized GeoTIFF (COG)
- A GeoTIFF organized internally so clients can fetch only the tiles and resolution levels they need over HTTP.
- GeoJSON
- A JSON format for vector features such as points, lines, and polygons, standardized as RFC 7946.
- GeoParquet
- A specification for storing vector geometries in Apache Parquet, a compressed columnar format suited to large datasets.
- Land cover
- The physical material at the surface, such as vegetation, water, bare soil, or built-up area.
- Multispectral imagery
- Imagery that records several bands of light, including wavelengths beyond what the eye can see, such as near-infrared.
- NDVI
- Normalized Difference Vegetation Index, computed from red and near-infrared bands to indicate vegetation vigor.
- Revisit time
- How often a satellite or constellation can observe the same location. Cloud cover can make usable observations less frequent.
- Spatial resolution
- The ground size represented by one pixel, for example 10 metres. Smaller pixels show finer detail.
- STAC
- SpatioTemporal Asset Catalog, an open specification for describing and searching geospatial assets such as satellite scenes.
- Synthetic aperture radar (SAR)
- An active radar sensor that can image the surface through cloud and at night.
FAQ
Frequently asked questions.
What is GeoVeyra?
GeoVeyra is an AI-powered satellite and geospatial intelligence platform focused on making Earth observation data easier to explore, analyze, and apply to practical decisions.
What can I use GeoVeyra for?
Common use cases include land-use change analysis, environmental observation, infrastructure and site monitoring, regional planning, and location-based risk research. What's possible for your area depends on suitable data access, which we review with you.
Does GeoVeyra own or operate satellites?
No. GeoVeyra analyzes Earth observation and geospatial data made available by external providers, such as public Earth observation programs and, where agreements exist, licensed commercial imagery.
Is the information real-time?
Not necessarily. Data availability and freshness depend on sensor revisit schedules, cloud conditions, processing pipelines, and source licensing. GeoVeyra shows observation timestamps rather than implying live coverage.
Can GeoVeyra detect changes automatically?
GeoVeyra uses AI-assisted change detection to surface areas that may need attention. Results depend on suitable imagery and should be validated, with human review for consequential decisions.
What kinds of data does GeoVeyra work with?
Optical and radar satellite imagery, vector boundaries, elevation information, and other appropriately licensed geospatial datasets, depending on the application.
Can GeoVeyra integrate with existing tools?
Yes. Results can leave as maps, reports, GeoJSON and other open formats, alerts, and API-based integrations. Specific formats and connections are scoped with your team.
Who is GeoVeyra for?
Organizations that depend on location-specific intelligence, including infrastructure, environmental, agricultural, risk, research, and planning teams.
How do I get started?
Book a demo. Share your organization, area of interest, and use case, and we'll follow up by email to arrange a walkthrough around your question.
Have a question the guides don't answer?
Tell us what you want to monitor or understand. Let's explore how geospatial intelligence could fit your workflow.