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Landsat surface reflectance quality assurance extraction (version 1.7)

January 17, 2013

The U.S. Geological Survey (USGS) Land Remote Sensing Program is developing an operational capability to produce Climate Data Records (CDRs) and Essential Climate Variables (ECVs) from the Landsat Archive to support a wide variety of science and resource management activities from regional to global scale. The USGS Earth Resources Observation and Science (EROS) Center is charged with prototyping systems and software to generate these high-level data products. Various USGS Geographic Science Centers are charged with particular ECV algorithm development and (or) selection as well as the evaluation and application demonstration of various USGS CDRs and ECVs. Because it is a foundation for many other ECVs, the first CDR in development is the Landsat Surface Reflectance Product (LSRP). The LSRP incorporates data quality information in a bit-packed structure that is not readily accessible without postprocessing services performed by the user. This document describes two general methods of LSRP quality-data extraction for use in image processing systems. Helpful hints for the installation and use of software originally developed for manipulation of Hierarchical Data Format (HDF) produced through the National Aeronautics and Space Administration (NASA) Earth Observing System are first provided for users who wish to extract quality data into separate HDF files. Next, steps follow to incorporate these extracted data into an image processing system. Finally, an alternative example is illustrated in which the data are extracted within a particular image processing system.

Citation Information

Publication Year 2013
Title Landsat surface reflectance quality assurance extraction (version 1.7)
DOI 10.3133/tm11C7
Authors J. W. Jones, M.J. Starbuck, Calli B. Jenkerson
Publication Type Report
Publication Subtype USGS Numbered Series
Series Title Techniques and Methods
Series Number 11-C7
Index ID tm11C7
Record Source USGS Publications Warehouse
USGS Organization Earth Resources Observation and Science (EROS) Center

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