Geog 280: Basic Geographic Techniques

Exercise 7: Satellites and Sensors

Now we look at a few of the satellites and sensors commonly used for remote sensing of Earth resources.  These sensors are all satellites oriented toward land-resources data.  They are either multispectral or panchromatic sensors.  Other satellites carry other kinds of sensors, and we will examine a few of those in the next page.  As you read this page, you can refer to the chart below to help organize the characteristics of each sensor.
 

Satellite/
Sensor
Landsat
MSS
Landsat
TM
SPOT
XS
SPOT
Pan
IRS 1-A/B
LISS
IRS 1-C
Pan
JERS-1
OPS
NOAA
AVHRR
Country of Origin USA USA France France India India Japan USA
Pixel Resolution (m) 80 30 20 10 23 to 72 5.8 20 1000
Number of bands 4 7 3 1 4 1 7 5
  Panchromatic (B/W) -- -- -- 1 -- 1 -- --
  Blue -- 1 -- -- 1 -- -- --
  Green 1 1 1 -- 1 -- 1 --
  Red 1 1 1 -- 1 -- 1 1
  Near/Mid IR 2 3 1 -- 1 -- 5 1
  Thermal IR -- 1 -- -- -- -- -- 3
Scene size (km) 185 185 60 60 141-148 70 75 2700
First Available 1972 1982 1986 1986 1988 1995 1992 ?
Relative Cost $$ $$$ $$$$ $$$$ $$$ $$$ ? $
Contact in US USGS EOSAT SPOT SPOT EOSAT EOSAT -- USGS

Landsat

Landsat TM image of AtlantaLandsat is the oldest and most-used series of satellites for remote sensing of Earth resources.  Landsat is a series of satellites owned by the United States.  The first Landsat was launched in 1972, and was originally called ERTS.  A total of five Landsats have orbited Earth.  The first four have been retired, and only Landsat 5 continues to operate today (as of 1997).  Landsat 6 was launched in 1996, but disappeared shortly after takeoff, apparently becoming part of the oceans!  Landsat 7 is under development and tentatively will be launched in 1998.  Hopefully Landsat 5 will continue working until then, though other satellites have recently been launched that gather similar imagery.

Landsat satellites have carried two different sensors.  The first, Multispectral Scanner (MSS), has been on every Landsat.  MSS gathers low-resolution data compared to more recent sensors:  its pixels cover a ground area of about 80 meters (260 feet) on each side.  It also detects energy in only four bands:  green, red, and two near-infrared bands. Two good things about MSS is that data are available back to 1972, and they are relatively cheap for older scenes ($200, from the USGS Eros Data Center in Sioux Falls, South Dakota).

Landsat Thematic Mapper (TM) has been on the satellites since 1982.  TM data are much more refined, since the pixels cover 30 meters (100 feet) on each side.  The sample image here shows a portion of the Atlanta area with TM data.  TM also records seven bands of the spectrum, including blue and some of the mid- and far-infrared.  Unfortunately, TM data are also more expensive.  A private corporation, Space Imaging (formerly EOSAT), was formed by the US to market TM imagery.  The charge for scenes runs into the thousands of dollars.

SPOT

SPOT image of AtlantaIn 1986, France launched the first SPOT satellite (SPOT = Systeme Probatoire d'Observation de la Terre).  Three SPOT satellites have been launched in total.  They collect imagery similar to Landsat TM, but the spatial resolution is finer.  SPOT's pixels are 20 meters for multispectral data.  SPOT also carries a panchromatic sensor, that is, the sensor records green and red together in a single signal, similar to black-and-white film.  The panchromatic imagery has 10-meter pixels, half the size of the multispectral SPOT sensor.  The sample image at right shows the same area as the TM image above, illustrating the finer pixel resolution of SPOT panchromatic data.  Until very recently, SPOT's imagery was the best available to civilians.  It's no surprise that it's expensive -- over $5,000 per scene from what I understand!  (Gets into the territory of "If you have to ask, you can't afford it.")

Indian and Japanese Satellites

India and Japan have created their own satellites for gathering Earth data.  The Indian program is ambitious, with three satellites since 1988.  One sensor is almost identical to Landsat TM.  Another offers the smallest pixels available today at just over 5 meters (8 feet).  The Japanese satellite also offers high-quality imagery.  Hopefully these new satellites will help make the cost of imagery more reasonable.

AVHRR

AVHRR 10-day composite June 1992This sensor is unlike those above in that it is much coarser in resolution.  The Advanced Very-High Resolution Radiometer (AVHRR) sensor is carried aboard two US National Oceanic and Atmospheric Administration (NOAA) weather satellites.  The AVHRR pixels cover a ground area that is one kilometer on each side -- 100 times larger than SPOT panchromatic data.  AVHRR is used for regional rather than local studies, particularly of vegetation.  The illustration at right shows a composite of AVHRR images -- many images have been pasted together to give an overall view of Earth. The image below shows an AVHRR image around the Great Lakes in an color-infrared style.
AVHRR NDVI image of Great Lakes

AVHRR data are very inexpensive.  Several CD-ROMs are easily available with a large amount of AVHRR data for about $60.  A few images are even available on the Internet through the USGS Eros Data Center.

Future Multispectral Land-Resources Satellites

Several countries are planning new satellites similar to those above, most with smaller pixel sizes.  Germany, Russia, China, Brazil, and Argentina have all announced satellite plans, in addition to the countries included above.  NASA is planning several next-generation satellites that will carry hyperspectral sensors that will record up to 384 bands of the spectrum.

Private companies have also planned satellites for strictly commercial ventures.  One, Space Imaging, intends to launch a satellite in the next few months that will gather data at a 1-meter pixel resolution.  If this one works, it will rival aerial photography in detail.  Until recently the US banned such detailed satellite imagery for defense reasons.

Questions on this Page

10. Assume you want to study wetlands areas and want to be able to see objects larger than 40 meters (130 feet) in size.  You also want to be able to use both red and near infrared bands to detect vegetation levels.  Which imagery product(s) among those discussed above might give you satisfactory data at a minimum cost?

  


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Bryan Baker, Sonoma State University, bryan.baker@sonoma.edu
Updated 17 February 1999