High Resolution Satellite & Aerial Imagery

High Resolution Imagery Samples

Aerial Imagery 15-cm Natural Color - Pittsburgh, Pennsylvania; April 10, 2014
Aerial Imagery 30-cm Natural Color - Houston, Texas; September 21 to 23, 2014
Aerial Imagery 30-cm Natural Color - Toulouse, France; August 2010
Aerial Imagery 30-cm Natural Color - Valletta, Malta; June 2011
Aerial Imagery 30-cm Natural Color - San Diego, California; May 2010
WorldView-3 30-cm Natural Color - Lisbon, Portugal; April 13, 2015
WorldView-3 30-cm Natural Color - MT Bank Stadium, Baltimore, Maryland; June 8, 2015
WorldView-3 30-cm Natural Color - Sousse, Tunisia; January 10, 2015
WorldView-3 30-cm Natural Color - Adelaide, Australia; November 27, 2014
WorldView-2 50-cm Natural Color - Burj Khalifa, Dubai, United Arab Emirates; May 1, 2012
WorldView-2 50-cm Natural Color - Washington, D.C.; June 8, 2011
WorldView-2 50-cm Natural Color - The Pyramid of Giza, Egypt; December 24, 2009
WorldView-2 50-cm Natural Color - The Bahamas; November 15, 2010
Pléiades 1 50-cm Natural Color - Shanghai, China; March 20, 2013
Pléiades 1 50-cm Natural Color - Perth, Australia; September 23, 2012
Pléiades 1 50-cm Natural Color - Riyadh, Saudi Arabia; April 16, 2012
GeoEye-1 40-cm Natural Color - Dubai International Airport, United Arab Emirates; November 1, 2014
GeoEye-1 50-cm Natural Color - Canberra, Australia; December 6, 2009
GeoEye-1 50-cm Natural Color - Burning Man, Nevada; September 1, 2011
WorldView-1 50-cm Panchromatic - Fuji-Q High Land, Japan; July 16, 2011
WorldView-1 50-cm Panchromatic - Vienna, Virginia; April 12, 2010
WorldView-1 50-cm Panchromatic - Longleat, England; October 11, 2010
QuickBird 60-cm Natural Color - Gulliver's Kingdom, Japan; April 6, 2002
QuickBird 60-cm Natural Color - Dubai, UAE; February 26, 2010
QuickBird 60-cm Natural Color - St. Louis, Missouri; June 23, 2008
QuickBird 60-cm Natural Color - St. Petersburg, Russia; June 7, 2008
EROS B 70-cm Panchromatic - Minnesota National Golf Course; July 1, 2013
EROS B 70-cm Panchromatic - Desaguadero, Bolivia-Peru border; October 27, 2015
Nighttime EROS B 70-cm Panchromatic - Dallas-Fort Worth Airport, Texas; September 14, 2008
KOMPSAT-3 70-cm Natural Color – San Diego, California; March 2, 2013
KOMPSAT-3 70-cm Natural Color – Bagram Airfield, Afghanistan; August 24, 2013
IKONOS 80-cm Natural Color - Nakuru, Kenya; February 2, 2008
IKONOS 80-cm Natural Color - Alberta, Canada; October 16, 2011
IKONOS 80-cm Natural Color - Solda, Italy; December 13, 2006

Click on the expand button for a larger view of each image. You can also right-click and save any of the examples to your computer for a full resolution view.

Our High Resolution Sensors

Sensor NameSensor TypeSpectral BandsSensor ResolutionPotential Coverage Area
Digital AerialAirplaneNatural color
CIR
4-band MS
15-cm
30-cm
60-cm
Continental US +
Western Europe
Pléiades Neo4 satellite constellationPan
6-band MS
30-cm
1.2-m
Global
WorldView-4SatellitePan
4-band MS
31-cm
1.24-m
Global
WorldView-3SatellitePan
8-band MS
8-band SWIR
31-cm
1.24-m
3.71-m
Global
GeoEye-1SatellitePan
4-band MS
41-cm
1.65-m
Global
WorldView-2SatellitePan
8-band MS
46-cm
1.85-m
Global
WorldView-1SatellitePan50-cmGlobal
SuperView-14 satellite constellationPan
4-band MS
50-cm
2-m
Global
SkySatMicrosatsPan
4-band MS
50-cm (72-cm to 90-cm, older images)
1-m
Global
KOMPSAT-3ASatellitePan
4-band MS
55-cm (sold as 40-cm)
2.2-m (sold as 1.6-m)
Global
QuickbirdSatellitePan
4-band MS
60-cm
2.4-m
Global
Pléiades 1A/1B2 satellite
constellation
Pan
4-band MS
70-cm (sold as 50-cm)
2.8-m (sold as 2-m)
Global
KOMPSAT-3SatellitePan
4-band MS
70-cm (available as 50-cm)
2.8-m (available as 2-m)
Global
EROS BSatellitePan70-cmGlobal
Jilin-113 satellite constellation (Video + Optical series)Pan
4/5-band
Color nighttime
Color video
72-cm to 1.06-cm
2.88-m to 4.24-m
92-cm
92-cm
Global
GEOSAT-2SatellitePansharpened
Pan
4-band MS
75-cm
1-m
4-m
Global
IKONOSSatellitePan
4-band MS
80-cm
3.2-m
Global
GaoFen-2SatellitePan
4-band MS
81-cm
3.24-m
Global
BlackSkyMircosatsPan
3-band MS
85-cm to 1.3-m
3.4-m to 5.2-m
Global
OVS-3SatelliteNatural color90-cm
(OVS-1, 1.9-m; OVS-2, 90-cm)
Global
TripleSat4 satellite constellationPan
4-band MS
96-cm (sold as 80-cm)
3.84-m (sold as 3.2-m)
Global
KazEOSat-1SatellitePan
4-band MS
1-m
4-m
Global
TeLEOS-1SatellitePan1-mNear equatorial orbit - 15° N to 15° S
KOMPSAT-2SatellitePan
4-band MS
1-m
4-m
Global
OverviewTasking vs Archive

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.

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.

 

Archive Order

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:

  • IconPlan the location of a solar and/or wind farm
  • IconAssess the health of urban forest canopies
  • IconConstruct accurate topographic models
  • IconDigitize surface cracks on rapidly melting glaciers
  • IconPlan field survey locations and methodology
  • IconModel the environmental impacts of a new housing community, particularly on the local plant species
  • IconTrace footpaths and roadways in rural and urban environments
  • IconAssess the amount of new building in an urban environment via change detection