Landsat 7 processing on the EROS Data Center's National Land Archive Processing System (NLAPS)

Brenda K. Jones; LeAnn Dix

doi:10.1117/12.410355

23 August 2000 Landsat 7 processing on the EROS Data Center's National Land Archive Processing System (NLAPS)

Brenda K. Jones, LeAnn Dix

Proceedings Volume 4049, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI; (2000) https://doi.org/10.1117/12.410355
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

Staff at the U.S. Geological Survey (USGS) EROS Data Center (EDC) process Landsat 7 data for customer distribution on two distinct systems. The Distributed Active Archive Center (DAAC) processing is done on the Level -1 Product Generation System (LPGS), and the USGS processing is completed on the National Land Archive Processing System (NLAPS). The NLAPS is capable of processing data from Landsat 1-5 and 7 and SPOT 1-3. The data can be processed with correction levels ranging from Level-0 raw data to terrain-corrected precision products in a variety of output formats. The NLAPS processing system requires that different ordering procedures be used for standard recipe versus special order processing, and it makes available many processing and framing options. The NLAPS draws on a ground control point library whose sources range from paper maps to textual descriptions and registered source imagery, such as digital orthophoto quadrangles. The accuracy of the final products will vary depending on the level of correction applied and the source of the ground control points used for the precision corrections. An accuracy assessment of the LPGS systematic product versus the NLAPS systematic product demonstrates that both systems provide the same geometric and radiometric accuracy in systematically corrected products.

Citation Download Citation

Brenda K. Jones and LeAnn Dix "Landsat 7 processing on the EROS Data Center's National Land Archive Processing System (NLAPS)", Proc. SPIE 4049, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI, (23 August 2000); https://doi.org/10.1117/12.410355

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