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Abstract
The Landsat 7 Enhanced Thematic Mapper Plus (ETM+) scan line corrector (SLC) failed on May 31, 2003, causing the scanning pattern to exhibit wedge-shaped scan-to-scan gaps. The ETM+ has continued to acquire data with the SLC powered off, leading to images that are missing approximately 22 percent of the normal scene area. To improve the utility of the SLC-off data, the U.S. Geological Survey (USGS) developed new products that use the data from multiple ETM+ scenes to provide complete ground coverage. These gap-filled products were developed and deployed in two phases. The gaps in the Phase I products are filled with data from imagery collected previously with a functional SLC (SLC-on). A single SLC-on scene provides complete coverage of the scan gaps, making the gap-filling procedure straightforward. Several radiometric adjustment techniques for matching the SLC-on fill scene to the SLC-off primary scene were evaluated for performance, processing speed, and ease of implementation. A simple local histogram matching method was adopted as a result of this evaluation. The Phase II products use data from multiple SLC-off scenes to fill the scan gaps with more recent data. Because the locations of the scan gaps are different for each SLC-off scene, the gap-filling process must account for scan gap interactions. The Phase II product development included a more comprehensive study of candidate radiometric adjustment techniques. This study showed that the histogram matching method used in Phase I, with minor refinements, provided the best overall performance and was adopted for Phase II as well.
Publication type | Conference Paper |
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Publication Subtype | Conference Paper |
Title | Landsat 7 scan line corrector-off gap-filled product development |
Year Published | 2005 |
Language | English |
Publisher | ASPRS |
Contributing office(s) | Earth Resources Observation and Science (EROS) Center |
Description | 13 p. |
Larger Work Type | Book |
Larger Work Subtype | Conference publication |
Larger Work Title | Global priorities in land remote sensing |
Conference Title | William T. Pecora Memorial Symposium on Remote Sensing, 16th |
Conference Location | Sioux Falls, SD |
Conference Date | October 23-27, 2005 |
Google Analytic Metrics | Metrics page |