High Resolution Imagery Samples
Our High Resolution Sensors
|Sensor Name||Sensor Type||Spectral Bands||Sensor Resolution||Potential Coverage Area|
|Digital Aerial||Airplane||Natural color|
|Continental US +
|SuperView-1||4 satellite constellation||Pan|
|Pléiades 1A/1B||2 satellite|
|70-cm (sold as 50-cm)|
2.8-m (sold as 2-m)
|72-cm (older 90-cm)|
|Jilin-1 Nighttime||6 satellite constellation||Color||92-cm||Global|
|TripleSat||4 satellite constellation||Pan|
|96-cm (sold as 80-cm)|
3.84-m (sold as 3.2-m)
|TeLEOS-1||Satellite||Pan||1-m||Near equatorial orbit - 15° N to 15° S|
What exactly does high resolution imagery really mean? While the term is used frequently, it is rarely defined. Here at Apollo Mapping, we define high resolution imagery as having 1 meter (m) or better resolution.
For most high resolution sensors, the panchromatic (or black and white) band has 1-meter or better resolution. If the sensor collects multispectral (or red, green, blue, etc.) data simultaneously, which is more common than not, these images have a resolution which is two or four times that of the panchromatic band.
How long will it take to receive my imagery? We get this question all the time. The answer is that it depends on a few variables, but one of the main factors is whether we can find your imagery in an archive or if we will have to place a tasking order.
A tasking order is an on-demand service whereby clients define a custom polygon on the planet to be imaged by the next available high resolution satellite. The time to collect this area of interest is controlled by local weather conditions and competition from surrounding tasking orders.
An archive order relies on a historic database of high resolution imagery with a specific time/date stamp and known cloud cover. Clients are able to browse available data with the assistance of Apollo Mapping to determine the best imagery for their intended applications.
When to use high resolution imagery
The uses of high resolution imagery are as vast as the human imagination. Here is a list of several situations when it makes the most sense to use high resolution imagery:
- Plan the location of a solar and/or wind farm
- Assess the health of urban forest canopies
- Construct accurate topographic models
- Digitize surface cracks on rapidly melting glaciers
- Plan field survey locations and methodology
- Model the environmental impacts of a new housing community, particularly on the local plant species
- Trace footpaths and roadways in rural and urban environments
- Assess the amount of new building in an urban environment via change detection