Landsat Missions

Filling the Gaps for Display

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Many image-processing packages may have capabilities such as those described here.

(NOTE: References to non-USGS products do not constitute endorsement by the U.S. Government.)

Web-enabled Landsat Data (WELD)

The Web-enabled Landsat Data (WELD) project generates 30-meter composites of Landsat 7 Enhanced Thematic Mapper Plus (ETM+) terrain corrected (Level-1T) mosaics at weekly, monthly, seasonal and annual periods for the conterminous United States (CONUS) and Alaska. These mosaics provide consistent data that can be used to derive land cover as well as geo-physical and biophysical products for regional assessment of surface dynamics and to study Earth system functioning.

Landsat 7 SLC-off Gap-filled data sources

A number of Satellite Business Partners may provide value-added and gap-filled products, and depending on your area of interest, a number of International Ground Stations may also provide gap-filled or value-added products. Businesses and ground stations may have charges associated with the products they provide.

ERDAS Imagine - Using Focal Analysis

This method computes the values of neighboring pixels and fills in the gaps based on those calculations for a single Landsat 7 scene.

Adobe Photoshop - "Dust & Scratches" Filter

Photoshop users can utilize the "Dust & Scratches" filter. This generally works best on small areas of a Landsat scene, and is quick and easy to use.

  1. Open Photoshop.
  2. Open three band.tif files.
  3. Select the Channels tab and click the small round arrow.
  4. Select Merge Channels
  5. Select RGB Color in the "Merge Channels" box. Click OK
  6. In the "Merge RBG Channels" box, select the channels in RGB order (for instance: 7, 5 3). Click OK
  7. The channels are merged into an RGB image.
  8. Navigate to your particular area of interest on the image
  9. Select Filter -> Noise -> Dust & Scratches
  10. Within in the "Dust & Scratches" box, make sure the Preview box is checked.
  11. As the Radius and Threshold levels are moved up and down, the image changes
  12. Continue until the desired 'filled' image is created.
  13. Save the image.

Figure 1. RGB Composite before applying Dust & Scratches filter (Landsat 7 Path 18  Row 60  Acquired  April 7, 2009)

Figure 1. RGB Composite before applying Dust & Scratches filter (Landsat 7 Path 18 Row 60 Acquired April 7, 2009)

 

Figure 2. RBG Composite after applying Dust & Scratches filter (Landsat 7 Path 18  Row 60  Acquired  April 7, 2009)

Figure 2. RBG Composite after applying Dust & Scratches filter (Landsat 7 Path 18 Row 60 Acquired April 7, 2009)

 

About

Landsat represents the world's longest continuously acquired collection of space-based moderate-resolution land remote sensing data. Four decades of imagery provides a unique resource for those who work in agriculture, geology, forestry, regional planning, education, mapping, and global change research. Landsat images are also invaluable for emergency response and disaster relief.

 

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