The difference between aerial and satellite imagery
Understand the differences between aerial imagery and satellite imagery and which is best for use in everyday business decisions with geospatial imagery and data.
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What is aerial imagery?
With origins tracing back to as early as 1858, aerial imagery is one of the earliest forms of collecting, analyzing and archiving geospatial data. Balloons and kites have been replaced by planes, drones, and some of the most sophisticated camera systems in the world when it comes to gathering this information.
What are the characteristics of aerial photographs?
The five main characteristics of aerial photographs are time-freezing, 3D perspective, birds-eye view, readily available, and sensitive. These characteristics enable us to take measurements, play with perspective, and obtain an unmatched level of spatial data and detail, including angles, shapes, size and depth. Aerial photographs capture moments in time on the Earth’s surface that are crucial for historical purposes and future projections.
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What are the different types of aerial photography?
The main types of aerial photographs are defined by the angle at which they’re taken. Classic vertical photographs are taken with the camera axis in a vertical position, yielding the direct, overhead result that you often see in mapping. To capture low oblique photographs, the camera axis must be tilted at least three degrees. These photos are useful for taking close-up shots that need more detail. Finally, high oblique photos are shot at about 60 degrees – this covers a larger, wider view to identify geographical features and landmarks.
What are the advantages of aerial photographs?
Aerial photographs have many advantages for businesses. The photographs can capture fine detail and cover wide areas, the process is time and cost-efficient, and the imagery can be used for a whole range of industries. Aerial imagery and its associated geospatial data can be applied to disciplines as varied as construction, insurance, real estate, agriculture, urban planning, environmental studies, and wildlife monitoring.
See it in action
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What is satellite imagery?
It’s all in the name! Satellite imagery is basically images of Earth collected by imaging satellites – operated by governments and businesses around the world – and accessed through satellite imaging companies and services.
How is satellite imagery captured?
Earth-observing satellites operate in low-Earth orbit (LEO), typically ~160–2,000 km above Earth. Commercial very high-resolution satellites (e.g., Maxar WorldView-3/4) offer panchromatic pixels around 30 cm under ideal conditions, while wide-swath public missions (e.g., Sentinel-2 MSI, Landsat 8/9 OLI/TIRS) provide 10–30 m multispectral data. Satellites enable rapid, repeatable coverage at regional to global scales and are ideal for broad situational awareness and multi-spectral analytics.
What are the three main types of satellite imagery?
The three main types of satellite imagery available are visible, infrared, and water vapor. Visible imagery is what you likely think of when you see imagery of the Earth from afar – the white clouds, dark water and grey-looking earth. Conversely, infrared imagery shows clouds both by day and night, and is useful for determining things like thunderstorm intensity. Finally, water vapor imagery is the kind you see on a weather forecast map, where the different colors signify different moisture levels in the upper atmosphere.
- Visible: Visible imagery is what you likely think of when you see imagery of the Earth from afar – the white clouds, dark water and grey-looking earth.
- Infrared: Infrared imagery shows clouds both by day and night, and is useful for determining things like thunderstorm intensity.
- Water Vapor: Water vapor imagery is the kind you see on a weather forecast map, where the different colors signify different moisture levels in the upper atmosphere.
What is the difference between a satellite image and a photograph?
What are the benefits of satellite imagery?
What about drones?
What’s the difference?
The gap between aerial and satellite imagery is shrinking every day as technology advances. However, there are two key differences between satellite and aerial imagery – how much area they cover, and their main use cases. Satellite imagery covers a wider area that makes it ideal for larger-scale scientific operations. In contrast, aerial photography is taken at a lower altitude and provides more detail, so it is extremely useful for commercial applications.
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When to use aerial imagery
Use aerial imagery when you need parcel-level detail—think roof measurements, asset inspection, and change detection—with single-digit-centimeter ground sample distance (GSD) and frequent refreshes across metro areas. Use satellite imagery when you need regional to national coverage fast, multi-spectral analytics, or frequent time-series monitoring at meter-class resolutions. Best-case commercial satellites (e.g., Maxar WorldView-3) provide ~30 cm (≈12 in) panchromatic GSD; public missions such as Sentinel-2 provide 10 m, and Landsat 8/9 provide 15–30 m. Nearmap aerial programs in covered metros commonly target approximately 2.2–3 inches per pixel (≈5.5–7.5 cm).
Choosing aerial imagery vs. satellite imagery
Aerial Imagery | Satellite Imagery | |
|---|---|---|
Best suited for… | Commercial applications like roof inspections or parcel measurements. Appropriate for industries like, construction, real estate, insurance and urban planning. | Wide-scale scientific operations including state-wide or county-wide imagery. This might include multi-spectral analytics for vegetation, burn scars, or possibly minerals. |
Advantages include… | Higher detail and more accurate. | Wider coverage area. |
Applications for aerial imagery or satellite imagery
Where satellite imagery quality is often compromised by atmospheric and weather conditions, Nearmap aerial imagery gives users a clear and current overview of landscapes all around the U.S. Nearmap takes a holistic approach to aerial imagery, meaning users benefit from the most true-to-life content captured by the best imaging technology available.
Nearmap aerial imagery applications
- Roof/parcel measurements, CAD/GIS drafting — sub-3-inch GSD supports reliable digitizing and takeoffs.
- Post-catastrophe assessment — high-detail, rapidly deployed post-event captures for claims triage.
- Urban change detection & planning — frequent metro refresh; orthorectification enables accurate deltas.
Commercial satellite imagery applications
- Region-to-nation monitoring — rapid coverage and time-series (e.g., crop health via Sentinel-2 NDVI).
- Very high-resolution spot tasking — WorldView-3 for project AOIs where 30 cm detail is sufficient.
Attribute | Aerial Imagery | Satellite Imagery |
|---|---|---|
Resolution (GSD) | ≈5.5–7.5 cm (≈2.2–3 in) | WorldView-3: 30 cm pan (≈12 in); Sentinel-2: 10 m; Landsat 8/9: 15–30 m |
Coverage scale | Metro/urban footprints; multi-city programs; U.S. coverage 88% of population | Regional → global (tasking or archives); daily/near-daily revisit for some constellations |
Typical revisit | Multiple times/year in many metros; targeted post-catastrophe missions | From task-on-demand to near-daily (constellation-dependent) |
Spectral options | RGB (nadir/oblique); 3D/DSM via photogrammetry | Panchromatic + multispectral (VNIR/SWIR/thermal varies by sensor) |
Cloud sensitivity | Flights planned for low-cloud windows | Cloud-affected; rely on cloud masks/QA flags |
Geometry & accuracy | Orthorectified to map coordinates; sub-foot horizontal accuracy targets | Off-nadir angles affect GSD/relief; orthorectification varies by provider |
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FAQs
Aerial maps vs satellite mapsOften yes in cities: aerial programs commonly target approximately 2.2–3 inches per pixel, while leading commercial satellites top out near 30 cm (≈12 in). Choose aerial for parcel-level measurement; satellite for wide-area monitoring.
Aerial programs fly metros multiple times per year and on demand after major events; satellites can revisit daily or near-daily but at coarser GSD or with cloud limitations.
Orthorectification removes tilt and terrain distortions so pixels align with map coordinates, enabling accurate measurement and GIS overlay.
Sentinel-2 offers 10–20 m for most bands; Landsat 8/9 offers 15 m panchromatic and 30 m multispectral—great for environmental monitoring, not parcel-level measurements.