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Large area scene selection interface (LASSI): Methodology of selecting landsat imagery for The Global Land Survey 2005

Photogrammetric Engineering and Remote Sensing

By:
, , , , and
https://doi.org/10.14358/PERS.75.11.1287

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Abstract

The Global Land Survey (GLS) 2005 is a cloud-free, orthorec-tified collection of Landsat imagery acquired during the 2004 to 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.

Additional publication details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Large area scene selection interface (LASSI): Methodology of selecting landsat imagery for The Global Land Survey 2005
Series title:
Photogrammetric Engineering and Remote Sensing
DOI:
10.14358/PERS.75.11.1287
Volume:
75
Issue:
11
Year Published:
2009
Language:
English
Publisher:
Ingenta
Contributing office(s):
Earth Resources Observation and Science (EROS) Center
Description:
10 p.
First page:
1287
Last page:
1296