Large Area Scene Selection Interface (LASSI): Methodology of Selecting Landsat Imagery for the Global Land Survey 2005.

被引:14
作者
Franks, Shannon [1 ,2 ]
Masek, Jeffrey G. [3 ]
Headley, Rachel M. K. [4 ]
Gasch, John [5 ]
Arvidson, Terry [6 ]
机构
[1] Stinger Ghaffarian Technol Inc, Goddard Space Flight Ctr Code 614 4, Greenbelt, MD 20771 USA
[2] Univ Maryland, Dept Geog, College Pk, MD 20742 USA
[3] NASA, Goddard Space Flight Ctr, Biospher Sci Branch Code 614 4, Greenbelt, MD 20771 USA
[4] EROS, USGS Ctr, Sioux Falls, SD 57198 USA
[5] Emalico LLC, Goddard Space Flight Ctr Code 428 1, Greenbelt, MD 20771 USA
[6] Lockheed Martin, Goddard Space Flight Ctr Code 614 4, Greenbelt, MD 20771 USA
关键词
DATA SET; COVER;
D O I
10.14358/PERS.75.11.1287
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
The Global Land Survey (GLS) 2005 is a cloud-free, orthorectified 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.
引用
收藏
页码:1287 / 1296
页数:10
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