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Article: An improved Landsat Image Mosaic of Antarctica

TitleAn improved Landsat Image Mosaic of Antarctica
Authors
Keywordsice sheet
Landsat
mosaic
Antarctica
remote sensing
Issue Date2013
Citation
Science China Earth Sciences, 2013, v. 56, n. 1, p. 1-12 How to Cite?
AbstractA 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. © 2012 Science China Press and Springer-Verlag Berlin Heidelberg.
Persistent Identifierhttp://hdl.handle.net/10722/296712
ISSN
2020 Impact Factor: 4.368
2020 SCImago Journal Rankings: 1.256
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHui, Feng Ming-
dc.contributor.authorCheng, Xiao-
dc.contributor.authorLiu, Yan-
dc.contributor.authorZhang, Yan Mei-
dc.contributor.authorYe, Yu Fang-
dc.contributor.authorWang, Xian Wei-
dc.contributor.authorLi, Zhan-
dc.contributor.authorWang, Kun-
dc.contributor.authorZhan, Zhi Fei-
dc.contributor.authorGuo, Jian Hong-
dc.contributor.authorHuang, Hua Bing-
dc.contributor.authorLi, Xiu Hong-
dc.contributor.authorGuo, Zi Qi-
dc.contributor.authorGong, Peng-
dc.date.accessioned2021-02-25T15:16:30Z-
dc.date.available2021-02-25T15:16:30Z-
dc.date.issued2013-
dc.identifier.citationScience China Earth Sciences, 2013, v. 56, n. 1, p. 1-12-
dc.identifier.issn1674-7313-
dc.identifier.urihttp://hdl.handle.net/10722/296712-
dc.description.abstractA 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. © 2012 Science China Press and Springer-Verlag Berlin Heidelberg.-
dc.languageeng-
dc.relation.ispartofScience China Earth Sciences-
dc.subjectice sheet-
dc.subjectLandsat-
dc.subjectmosaic-
dc.subjectAntarctica-
dc.subjectremote sensing-
dc.titleAn improved Landsat Image Mosaic of Antarctica-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s11430-012-4481-5-
dc.identifier.scopuseid_2-s2.0-84872285301-
dc.identifier.volume56-
dc.identifier.issue1-
dc.identifier.spage1-
dc.identifier.epage12-
dc.identifier.isiWOS:000313498000001-
dc.identifier.issnl1869-1897-

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