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The Landsat Program - Data

More Free Data

Because Landsat has no restrictions on the redistribution of its data, there are many online resources for reduced-cost Landsat data. Find out more below.

The Global Land Cover Facility (GLCF) (external link)
The University of Maryland's 's Global Land Cover Facility (GLCF) offers over 28,000 Landsat scenes for free. The GLCF archive includes all of the Landsat GeoCover data, therefore, at least one image from any where in the world (within Landsat coverage boundaries), except for Antarctica, is available here. This site is an immense resource.

LEDAPS
NASA's Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) project is creating a record of forest disturbance and regrowth for North America from the Landsat satellite record, in support of the carbon modeling activities. LEDAPS relies on the decadal Landsat GeoCover data set supplemented by dense image time series for selected locations. Imagery is first atmospherically corrected to surface reflectance, and then change detection algorithms are used to extract disturbance area, type, and frequency. Reuse of the MODIS Land processing system (MODAPS) architecture allows rapid throughput of over 2200 MSS, TM, and ETM+ scenes. Initial ("Beta") surface reflectance products are currently available for testing, and initial continental disturbance products will be available by the middle of 2006.

 

Free Orthorectified Landsat Data at USGS
The USGS freely offers the Landsat Orthorectified data collection which consists of a global set of high-quality, relatively cloud-free orthorectified MSS, TM and ETM+ imagery from Landsats 1-5 and 7. Datasets include those selected and generated through NASA's Commercial Remote Sensing Program, as part of a cooperative effort between NASA and the commercial remote sensing community to provide users with access to quality-screened, high-resolution satellite images with global coverage over the Earth's land masses. It also includes the new generation Global Land Survey (GLS) Landsat data with even better geometric accuracy (~18 m).
 

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