First launched in 1972, the LANDSAT satellite series constitutes one of the longest continuous records in Earth observation. The objective of the LANDSAT program has always been to provide multi-spectral imagery of the Earth's land areas at moderate to high resolution, (28.50 - 90.00 meter horizontal resolution) to support resource assessment, land-cover mapping, and to track inter-annual changes in the environment.

Applications of LANDSAT data are quite diverse, comprising Earth Science, commercial applications, mining applications, government and military use. A few examples include mapping land-cover change (forest change, urbanization, etc), monitoring agricultural productivity, monitoring wetland health, mapping geologic resources, and targeting habitats for vector-borne disease eradication. LANDSAT is a cornerstone of NASA's Earth Observing System, providing moderate-resolution to high-resolution images.

• Multi-spectral Scanner (LANDSAT MSS)
  The MSS was a cross-track, (whiskbroom), scanner that acquired imagery in four channels (2 visible, 2 near-infrared) at 79.00-meter resolution. The MSS was included on Landsat-1 through Landsat-5.
  
  
• Thematic MAPPER (LANDSAT TM)
  The TM was flown on Landsat-4 and Landsat-5. The TM is a cross-track scanner providing seven multi-spectral channels, (3 visible, 1 near-infrared, 2 mid-infrared, 1 thermal-infrared), at 30.00-meter resolution (120.00-meter resolution for the thermal-infrared band).
  
  
• Enhanced Thematic MAPPER Plus (LANDSAT ETM+)
  The ETM+ instrument currently flying on Landsat-7 is similar to the earlier TM, but adds an extra 14.25-meter resolution panchromatic band, and improved resolution for the thermal-infrared band (57.00-meters).

LANDSAT imagery is relatively high-resolution earth observation data that is acquired through sensors on one of the NASA LANDSAT satellites. The satellite sensors acquire high integrity images of the planet surface in a systematic fashion. Users can take this imagery and use it to determine the health and type of vegetation, amount of built surfaces, success of agriculture, or apply it for a myriad other uses like various geological derived applications as well as various mineral exploration activities.

Orbit and Acquisition Characteristics

Spectral Resolutions & Spatial Resolutions

* Note: Band 6 on LANDSAT 7 is divided into two bands, high and low gain.

Imagery from the LANDSAT satellites has been acquired since 1972, with a variety of characteristics to consider. There have been six operational LANDSAT satellites, with three different useful sensors, all of which are available from Geoscientific Trust. The MSS sensor provides the oldest and lowest quality LANDSAT data and images are available from 1972. The TM sensor has improved quality and images are available from 1984. The ETM+ sensor on the LANDSAT 7 satellite remains the best quality of all the sensors.

LANDSAT imagery is acquired in a very precise manner, to better emphasize particular land cover aspects. Some of the parameters of this precision involve a scene's radiometry, providing distinct characteristics to components of the image scene. These measures help determine what the images are good for, from a science perspective. For example, Bands 1, 2 and 3 are used together to approximate how the real world appears. Bands 4, 5 or 7 from ETM+ are used in combination with 1, 2 or 3 to demonstrate vegetation conditions.

LANDSAT imagery is provided to the user by Geoscientific in a specific series of formats, all of which are designed for maximum coverage of users who have access to basic graphical software, (please note that we supply two basic software packages to all new clients on a 'no cost basis' when LANDSAT satellite images are ordered from Geoscientific).

Each LANDSAT scene is available with bands as separate files, (.tiff format - split layers / files - BSQ Band Sequential Format). A Geo-TIFF file can be used as a TIFF file in any graphical software, or if the client has spatial software the images will be supplied as either. Tiff or .IMG file extensions.