Cloud cover detection algorithm for EO-1 Hyperion imagery

被引：0
|
作者：
Griffin, M [1 ]
Burke, HH [1 ]
Mandl, D [1 ]
Miller, J [1 ]
机构：
[1] MIT, Lincoln Lab, Lexington, MA 02173 USA
来源：
IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES | 2003年
关键词：
hyperspectral; cloud cover; EO-1; Hyperion;
D O I：
暂无
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
A cloud cover detection algorithm was developed for application to EO-1 Hyperion hyperspectral data. The algorithm uses only bands in the reflected solar spectral regions to discriminate clouds from surface features such as snow, ice, and desert sand and was designed to be used on-board the EO-1 satellite as part of the EO-1 Extended Mission Phase of the EO-1 Science Program. The code was developed using 20 Hyperion scenes with varying cloud amount, cloud type, underlying surface characteristics and seasonal conditions. Results from the application of the algorithm to these test scenes is given with a discussion on the accuracy of the procedure used in the cloud cover discrimination.
引用
收藏
页码：86 / 89
页数：4
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