Medium Resolution Satellite Imagery

Medium Resolution Imagery Samples

SPOT 6 1.5-m Natural Color - Abu Dhabi, United Arab Emirates; February 5, 2016
SPOT 6 1.5-m Natural Color - Chicago, Illinois, USA; September 14, 2015
SPOT 6 1.5-m Natural Color - Singapore Sports Hub; August 28, 2015
SPOT 6 1.5-m Natural Color - Bush Stadium, St. Louis, Missouri; April 30, 2015
SPOT 7 1.5-m Natural Color - Great Strahov Stadium, Prague, Czech; April 19, 2015
SPOT 6 1.5-m Natural Color - Yuehu Sculpture Park, Shanghai, China; July 15, 2013
FORMOSAT-2 2-m Natural Color - Barcelona, Spain; December, 15, 2005
SPOT 6 1.5-m Natural Color - Augusta, Georgia; March 10, 2013
FORMOSAT-2 2-m Natural Color - Barcelona, Spain; December, 15, 2005
EROS A 2-m Panchromatic - New York, New York; May 3, 2002
EROS A 2-m Panchromatic - New York, New York; May 3, 2002
ALOS PRISM 2.5-m Panchromatic - Boulder, Colorado, USA; February 23, 2011
SPOTMaps 2.5-m Simulated Color - Barcelona, Spain
SPOTMaps 2.5-m Simulated Color - Brisbane, Australia
SPOTMaps 2.5-m Simulated Color - Abu Dhabi, UAE
RapidEye 5-m Natural Color - Santa Clara, California; August 23, 2013
RapidEye 5-m Natural Color - Barcelona, Spain; July 23, 2012
RapidEye 5-m Natural Color - Manhattan, New York; July 1, 2011
RapidEye 5-m Natural Color - San Luis Valley, Colorado; June 19, 2011
RapidEye 5-m Natural Color - Barcelona, Spain; July 23, 2012
RapidEye 5-m Natural Color - Carroll Glacier, Alaska; August 29, 2012
DEIMOS-1 22-m False Color - Faro, Portugal; July 23, 2012
DEIMOS-1 22-m False Color - San Francisco, California; May 22, 2012

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 Medium Resolution Sensors

Sensor NameSensor TypeSpectral BandsSensor ResolutionPotential Coverage Area
SPOT 1-77 satellite
constellation
Pan, MS & short-wave IRUp to 1.5-mGlobal
FORMOSAT-5SatellitePan
4-band MS
2-m
4-m
Within fixed track
FORMOSAT-2SatellitePan
4-band MS
2-m
8-m
Within fixed track
GaoFen-1SatellitePan
4-band MS
2-m
8-m
Global
EROS ASatellitePan2-mGlobal
ZiYuan-32 satellite constellationPan
4-band MS
Stereo Pan
2.1-m
5.8-m
2.5-m; 3.5-m
Global
ALOS PRISMSatelliteStereo Pan2.5-mGlobal
PlanetScopeLarge microsatellite constellation (microsats)4, 5 or 8-band MS3-mGlobal
KazEOSat-2Satellite5-band MS6.5-mGlobal
RapidEye5 satellite
constellation
5-band MS6.5-mGlobal
OHS8 microsat
constellation
32-band hyperspectral10-mGlobal
Deimos-1Satellite3-band MS22-mGlobal
OverviewTasking vs Archive

What exactly does medium resolution imagery really mean? While the term is used frequently, it is rarely defined. Here at Apollo Mapping, we define medium resolution imagery to have 1-meter (m) to 30-m resolution. Many medium resolution satellites however feature a wide variety of spectral bands with varying resolutions that may or may not meet this threshold. More information on the technical specifications of the medium resolution satellites we work with can be found on the individual pages linked in the table below.

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 will have to 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 medium 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 medium 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 medium resolution imagery

The uses of medium resolution imagery are as vast as the human imagination. Here is a list of several situations when it makes the most sense to use medium resolution imagery:

  • IconA cost effective means to obtain base layer imagery for large areas
  • IconIn regions with historically high cloud cover and thus lack of coverage with high resolution imagery
  • IconTo monitor remote sites and detect large landscape changes
  • IconFor projects requiring the most up-to-date imagery over large areas
  • IconWhen completing spectral analysis at regional scales
  • IconFor marco-scale spectral analysis that requires multiple temporal datasets
  • IconReplacing Landsat 7 imagery that has missing scan lines
  • IconTo supplement free lower-resolution satellite imagery such as ASTER and MODIS