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Large Area Scene Selection Interface (LASSI). Methodology of Selecting Landsat Imagery for the Global Land Survey 2005The Global Land Survey (GLS) 2005 is a cloud-free, orthorectified collection of Landsat imagery acquired during the 2004-2007 epoch intended to support global land-cover and ecological monitoring. Due to the numerous complexities in selecting imagery for the GLS2005, NASA and the U.S. Geological Survey (USGS) sponsored the development of an automated scene selection tool, the Large Area Scene Selection Interface (LASSI), to aid in the selection of imagery for this data set. This innovative approach to scene selection applied a user-defined weighting system to various scene parameters: image cloud cover, image vegetation greenness, choice of sensor, and the ability of the Landsat 7 Scan Line Corrector (SLC)-off pair to completely fill image gaps, among others. The parameters considered in scene selection were weighted according to their relative importance to the data set, along with the algorithm's sensitivity to that weight. This paper describes the methodology and analysis that established the parameter weighting strategy, as well as the post-screening processes used in selecting the optimal data set for GLS2005.
Document ID
20090027892
Acquisition Source
Goddard Space Flight Center
Document Type
Preprint (Draft being sent to journal)
Authors
Franks, Shannon (SGT, Inc. Greenbelt , MD, United States)
Masek, Jeffrey G. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Headley, Rachel M. (EROS Data Center Sioux Falls, SD, United States)
Gasch, John (Emalico, LLC Gambrills, MD, United States)
Arvidson, Terry (Lockheed Martin Corp. MD, United States)
Date Acquired
August 24, 2013
Publication Date
January 1, 2009
Subject Category
Geophysics
Distribution Limits
Public
Copyright
Public Use Permitted.

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