Commercial Optical Satellite Imagery: Bands, Resolution and Ordering

Summary

Optical satellite imagery is captured by passive sensors that record reflected sunlight, in the visible range and in wavelengths just outside it. Commercial optical imagery is sold from archive or by tasking a new capture, priced by area, at resolutions from 0.3 m to 10 m. What separates one product from another is spatial resolution, which bands the sensor records, and how often it revisits.

• Resolution sets what you can identify: 0.3 to 1 m resolves vehicles and building features, 10 to 30 m resolves land cover patterns.
• Bands set what you can measure. Red Edge detects plant stress before it is visible; SWIR separates alteration minerals; coastal blue penetrates water.
• The hard limits are cloud and daylight. Optical sensors see neither through cloud nor at night. Radar does both.
• Commercial optical imagery is ordered by drawing an area of interest and choosing archive or tasking. Prices are per km², not per scene.

Optical satellites are the workhorse of Earth observation, and most imagery anyone has ever looked at came from one. This covers how they work, what each band is for, and how to buy the output.

What is Optical Satellite Imagery?

Optical satellites are passive sensors that capture reflected sunlight from Earth’s surface, much like a camera in space. Unlike radar satellites that emit their own signals, optical sensors depend on the sun’s illumination, making them energy-efficient and cost-effective for many applications.

These satellites operate mostly in the visible and near-visible parts of the electromagnetic spectrum, capturing wavelengths our eyes can see plus some they cannot. The result is imagery that is intuitive to read and still carries data layers useful for analysis.

Advantages

Optical systems cost less to operate than active sensors like radar, because they do not have to generate the energy they measure. The output is natural colour, so it needs no interpretation training to look at. Resolution reaches 30 cm per pixel commercially, and the extra spectral bands support analysis well beyond what the visible range alone would allow.

Limitations

Cloud blocks the view entirely, which in some regions rules out optical imagery for months at a time. Daylight dependency means no night capture. Atmospheric haze degrades quality, and seasonal changes in sun angle alter shadow length and illumination, which matters when comparing captures taken at different times of year.

For monitoring that must not be interrupted by weather or darkness, pair optical with radar. For most commercial work, optical is the cheaper and more directly interpretable option.

Understanding Spatial Resolution: The Clarity Factor

Spatial resolution determines how much detail you can see in satellite imagery. It is measured as Ground Sample Distance (GSD), the real-world size each pixel represents.

Resolution Categories

Very High Resolution (0.3-1m): Individual objects like cars, trees, and building features are distinguishable. Essential for detailed infrastructure monitoring and precision agriculture.

High Resolution (1-5m): Buildings, roads, and field boundaries are clear. Ideal for urban planning and agricultural field management.

Medium Resolution (5-30m): Land cover patterns and large infrastructure visible. Perfect for regional monitoring and environmental studies.

Low Resolution (>30m): Continental and global patterns observable. Used for climate studies and large-scale environmental monitoring.

Geopera’s Available Resolutions

Through our Pera Portal, you can access:

• Beijing-3: 0.5m panchromatic, 2m multispectral
• Perascope Constellation: 0.75m panchromatic, 3m multispectral
• SuperView: 0.5m panchromatic, 2m multispectral
• MAXAR WorldView: 0.3m panchromatic, 1.2m multispectral
• Sentinel-2: 10m multispectral (free data)

Remember: higher resolution means smaller coverage area per image. Choose based on your project’s balance of detail versus coverage needs.

The Electromagnetic Spectrum and Spectral Bands

Optical satellites record more than we can see. They detect wavelengths invisible to the human eye, which is where most of the analytical value sits.

Understanding Spectral Bands

Each spectral band captures a specific range of electromagnetic wavelengths, and different materials reflect these wavelengths uniquely. This “spectral signature” allows us to identify and analyze surface features beyond what’s visible in regular photographs.

Essential Spectral Bands

Coastal/Deep Blue (400-450nm) Penetrates water to reveal bathymetry and detect phytoplankton. Critical for coastal monitoring and water quality assessment.

Blue (450-510nm) Sensitive to atmospheric conditions and water bodies. Used for discriminating soil from vegetation and detecting industrial pollution.

Green (510-580nm) Peak reflectance for healthy vegetation. Essential for assessing plant vigor and differentiating plant species.

Red (630-690nm) Absorbed by chlorophyll in healthy plants. Combined with NIR for vegetation indices like NDVI.

Red Edge (690-730nm) Captures the transition zone where vegetation reflectance dramatically increases. Highly sensitive to plant stress and chlorophyll content, often detecting problems before visible symptoms appear.

Near-Infrared/NIR (760-900nm) Strongly reflected by healthy vegetation. The foundation for most vegetation health assessments and moisture detection.

Panchromatic (450-800nm) Combines all visible wavelengths into high-resolution grayscale. Provides the sharpest detail but without color information.

Multispectral vs Panchromatic: Making the Right Choice

Multispectral imagery provides several bands of spectral information at moderate resolution. It is what you need for spectral indices or false-colour composites.

Panchromatic imagery trades colour for spatial detail, which suits identifying small features or precise boundaries.

Pansharpening combines both: fusing high-resolution panchromatic with multispectral bands creates sharp, full-color imagery. At Geopera, we offer pansharpened products that deliver both detail and spectral richness. Learn more about our processing capabilities.

Real-World Applications

Where optical imagery earns its cost, by sector.

Agriculture & Crop Monitoring

Modern farming relies on satellite-derived vegetation indices to optimize operations:

• Crop health assessment using NDVI identifies stress zones before visible symptoms
• Irrigation management through soil moisture analysis reduces water waste
• Yield prediction helps with harvest planning and market positioning
• Pest and disease detection enables targeted treatment instead of blanket applications

Explore our agriculture solutions to see how Australian farmers are increasing yields while reducing inputs.

Mining & Resource Management

Mining uses optical imagery across the whole project lifecycle, covered in more depth in the mineral exploration guide:

• Exploration using multispectral analysis to identify mineral signatures
• Site monitoring tracks excavation progress and equipment deployment
• Environmental compliance documents vegetation clearing and rehabilitation
• Infrastructure planning optimizes haul road design and processing facility placement

Our mining industry solutions help companies maintain operational efficiency while meeting environmental obligations.

Environmental Monitoring

Conservation efforts depend on consistent, accurate Earth observation:

• Deforestation tracking with change detection algorithms
• Water quality monitoring using spectral signatures of algae and sediments
• Coastal erosion measurement through time-series analysis
• Fire scar mapping for post-disaster assessment and recovery planning

View our environmental monitoring capabilities to understand ecosystem changes at any scale.

Urban Planning & Infrastructure

Cities use optical imagery for smarter development:

• Urban sprawl analysis guides sustainable growth policies
• Green space monitoring ensures adequate urban vegetation
• Construction progress tracking keeps projects on schedule
• Traffic pattern analysis from high-frequency imaging

Discover infrastructure monitoring solutions that help build better cities.

Forestry & Vegetation Management

Forest managers protect valuable resources with satellite insights:

• Tree species classification using multispectral signatures
• Disease and pest outbreak detection through red edge analysis
• Biomass estimation for carbon credit calculations
• Fire risk assessment combining vegetation indices with weather data

Our forestry solutions support sustainable forest management across Australia’s diverse ecosystems.

Commercial Optical Satellite Imagery

Not all optical imagery is commercial. It is worth being clear about the split, because it determines what you can get and what it costs.

Public programmes give data away. Sentinel-2 delivers 10 m multispectral globally, Landsat 30 m back to 1972. Free, unlimited, and adequate for regional work, land cover mapping and long time series. If 10 m answers your question, stop here and use it.

Commercial optical imagery is what you buy when it does not. Operators including Maxar, 21AT and SpaceWill sell captures at 0.3 m to 2 m, either from archive or by tasking a new acquisition, alongside Geopera’s own Perascope constellation. You are paying for resolution, for the ability to specify a date, and for the licensing and provenance that lets the imagery support a formal claim.

The practical dividing line is the object you need to identify. Vehicles, individual trees, building features and equipment need commercial resolution. Paddocks, forest blocks, urban extent and water bodies do not.

Commercial optical imagery is priced by area rather than by scene, which matters more than it sounds: it means ordering several dates over the same footprint for change detection does not multiply the bill the way per-scene pricing does. Current rates by resolution tier are in the satellite imagery cost guide, and the buying guide covers minimum order areas, licensing and the process end to end.

How to Access Optical Satellite Imagery with Geopera

Through Pera Portal, the process runs from discovery to delivery in one place: draw or upload an area of interest, see what exists over it, compare options across operators, and see the price per km² before ordering.

Archive vs. Tasking

Archive Imagery: Previously captured data available for immediate download. Cost-effective for historical analysis or when recent imagery exists. Most areas have archive coverage within the past 12 months.

Tasking Orders: Request new captures over your area of interest. Essential for time-critical projects or specific acquisition parameters. Typical delivery within 7-14 days, weather permitting.

Our Satellite Partners

We hold supplier agreements across several optical operators, plus our own exclusive constellation, so the sensor gets chosen for the job rather than because it is the only one on the shelf:

• Perascope: Geopera’s own exclusive constellation, frequent revisit
• 21AT: Beijing-3, 0.5 m resolution
• MAXAR: 30 cm resolution
• Wyvern: hyperspectral, 23 to 32 bands
• Sentinel Hub: free Sentinel-2 data at 10 m

Processing Options

All Geopera imagery comes fully processed and analysis-ready:

• Orthorectification removes geometric distortions
• Atmospheric correction ensures accurate spectral values
• Pansharpening combines detail with color
• Custom band combinations for specific applications
• Vegetation indices calculated and delivered

Getting Started

1. Define your requirements: Area size, resolution needs, temporal requirements
2. Search available data: Use our catalog to find archive imagery or plan a tasking
3. Select processing level: Choose from our standard or custom processing options
4. Place your order: Simple checkout with transparent pricing
5. Access your data: Download via portal or integrate through our API

Start exploring available imagery or contact our team for guidance on your specific requirements.

Choosing the Right Optical Imagery

Selecting optimal imagery involves balancing multiple factors:

Resolution Requirements

Infrastructure projects: 0.3-1m for detailed engineering Agricultural monitoring: 1-5m for field-level analysis Regional studies: 10-30m for cost-effective coverage Continental mapping: 30m+ for large-scale patterns

Temporal Considerations

Change detection: Consistent acquisition dates and sun angles Crop monitoring: Weekly to monthly during growing season Construction tracking: Monthly or quarterly updates Emergency response: Daily tasking if available

Spectral Requirements

Visual interpretation: RGB natural color Vegetation analysis: Red, NIR, and Red Edge bands Water studies: Blue and coastal bands Mineral exploration: SWIR and thermal bands

Budget Optimization

• Start with free Sentinel-2 data for regional assessments
• Use medium resolution for initial surveys
• Reserve high resolution for detailed areas of interest
• Consider archive imagery before requesting new tasking

Advanced Techniques and Analysis

Modern optical satellite analysis extends far beyond visual interpretation:

Spectral Indices

Calculate specialized indices from band combinations:

• NDVI (Normalized Difference Vegetation Index): Vegetation health
• NDWI (Normalized Difference Water Index): Water body detection
• NDSI (Normalized Difference Soil Index): Bare soil mapping
• Custom indices: Tailored to specific materials or conditions

Explore our vegetation indices documentation for calculation methods and applications.

Time Series Analysis

Track changes over time with multi-temporal imagery:

• Seasonal vegetation patterns
• Urban growth trajectories
• Erosion and deposition rates
• Post-disaster recovery monitoring

Machine Learning Integration

Apply AI to extract insights at scale:

• Automated feature detection
• Land cover classification
• Change detection algorithms
• Predictive modeling

The Future of Optical Satellite Technology

The optical satellite industry is evolving rapidly, with innovations that will transform Earth observation:

Emerging Capabilities

Hyperspectral imaging with hundreds of narrow bands for material identification

Video from space capturing dynamic events in real-time

30cm resolution becoming commercially available

Daily global coverage through large constellations

On-board AI processing for immediate insight delivery

Geopera’s Technology Roadmap

We’re continuously expanding our capabilities:

• Adding new satellite partnerships for better coverage
• Developing advanced processing algorithms
• Integrating AI-powered analysis tools
• Streamlining data delivery through API enhancements

Stay updated with our latest capabilities by contacting us.

Common Questions About Optical Imagery

How does cloud cover affect imagery?

Clouds obstruct the satellite’s view of the ground. We provide cloud coverage percentages for all archive imagery and can schedule multiple tasking attempts to capture cloud-free data.

What’s the difference between optical and radar satellites?

Optical satellites use reflected sunlight (passive), while radar satellites emit their own signals (active). Optical provides clearer, more intuitive imagery but can’t penetrate clouds. Radar works in all weather but requires more processing for interpretation.

How current is archive imagery?

Most populated areas have archive imagery within 6-12 months. High-interest areas may have weekly or monthly coverage. Search our catalog for specific availability over your area of interest.

Can I request specific acquisition angles?

Yes, for tasking orders you can specify off-nadir angles, sun elevation requirements, and other parameters. This is particularly useful for avoiding shadows in mountainous terrain or capturing building facades.

Starting an Optical Imagery Project

The useful first step is almost always the cheap one. Run your question against free Sentinel-2 at 10 m and see how far it gets you. A surprising number of projects finish there, and the ones that do not will have told you exactly which constraint forced the upgrade, which makes the commercial order much easier to specify.

When you do need commercial optical imagery, search the archive over your area of interest at portal.geopera.com and see what exists and what it costs before committing to anything.