当前位置： 首页»科研成果» 2013 An improved Landsat Image Mosaic of Antarctica 惠凤鸣、程晓、刘岩、王显威、王坤、李秀红

 

HUI FengMing^1,2, CHENG Xiao^1,2*, LIU Yan^1,2, ZHANG YanMei³, YE YuFang⁴, WANG XianWei¹, LI Zhan⁵, WANG Kun^1,2, ZHAN ZhiFei^1,2, GUO JianHong¹, HUANG HuaBing¹, LI XiuHong^1,2, GUO ZiQi¹ & GONG Peng¹

 

¹ State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences, Beijing 100875, China;

² College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China;

³ Institute of Earthquake Science, China Earthquake Administration, Beijing 100036, China;

⁴ Institute of Environmental Physics, University of Bremen, Bremen 28359, Germany;

⁵ Department of Geography & Environment, Boston University, MA 02215, USA.

 

Abstract

A revised Landsat Image Mosaic of Antarctica (LIMA) is presented, using the 1073 multi-band scenes of the original Land-sat-7 ETM+ LIMA image collection available at the United States Geological Survey (USGS: http://lima.usgs.gov/). Three improvements have been applied during the data processing: (1) DN saturation is adjusted by adopting a linear regression, which has a lower root mean square error than the ratio regression used by LIMA; (2) solar elevation angle is calculated using pixel-level latitude/longitude and the acquisition time and date of the central pixel of the scene, improving slightly upon the bilinear interpolation of the solar elevation angles of scene corners applied in LIMA; and (3) two additional image bands, Band 5 and Band 7, are sharpened using the panchromatic band (Band 8) and a Gram-Schmidt Spectral Sharpening algorithm to more easily distinguish snow, cloud and exposed rocks. The final planetary reflectance product is stored in 16-bit bands to preserve the full radiometric content of the scenes. A comparative statistical analysis among 12 sample regions indicates that the new mosaic has enhanced visual qualities, information entropy, and information content for land cover classification relative to LIMA.

 

KEY WORDS: Landsat, Antarctica, ice sheet, mosaic, remote sensing

 

PUBLISHED BY: SCIENCE CHINA-EARTH SCIENCES, 2013, 56 (1): 1-12.

 

DOWNLOAD PDF: http://link.springer.com/content/pdf/10.1007/s11430-012-4481-5.pdf