Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/62012
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorKe, L-
dc.creatorDing, X-
dc.creatorZhang, L-
dc.creatorHu, J-
dc.creatorShum, CK-
dc.creatorLu, Z-
dc.date.accessioned2016-12-19T08:58:11Z-
dc.date.available2016-12-19T08:58:11Z-
dc.identifier.issn0022-1430-
dc.identifier.urihttp://hdl.handle.net/10397/62012-
dc.language.isoenen_US
dc.publisherInternational Glaciology Societyen_US
dc.rights© The Author(s) 2016en_US
dc.rightsThis is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.rightsThe following publication Ke, L., Ding, X., Zhang, L. E. I., Hu, J. U. N., Shum, C. K., & Lu, Z. (2016). Compiling a new glacier inventory for southeastern Qinghai–Tibet Plateau from Landsat and PALSAR data. Journal of Glaciology, 62(233), 579-592 is available at https://doi.org/10.1017/jog.2016.58en_US
dc.subjectDebris-covered glaciersen_US
dc.subjectGlacier delineationen_US
dc.subjectGlacier mappingen_US
dc.subjectMountain glaciersen_US
dc.subjectRemote sensingen_US
dc.titleCompiling a new glacier inventory for southeastern Qinghai-Tibet Plateau from landsat and palsar dataen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage579-
dc.identifier.epage592-
dc.identifier.volume62-
dc.identifier.issue233-
dc.identifier.doi10.1017/jog.2016.58-
dcterms.abstractGlacier change has been recognized as an important climate variable due to its sensitive response to climate change. Although there are a large number of glaciers distributed over the southeastern Qinghai-Tibetan Plateau, the region is poorly represented in glacier databases due to seasonal snow cover and frequent cloud cover. Here, we present an improved glacier inventory for this region by combining Landsat observations acquired over 2011-13 (Landsat 8/OLI and Landsat TM/ETM+), coherence images from Advanced Land Observing Satellite Phased Array type L-band Synthetic Aperture Radar images and the Shuttle Radar Topography Mission (SRTM) DEM. We present a semi-automated scheme for integrating observations from multi-temporal Landsat scenes to mitigate cloud obscuration. Further, the clean-ice observations, together with coherence information, slope constraints, vegetation cover and water classification information extracted from the Landsat scenes, are integrated to determine the debris-covered glacier area. After manual editing, we derive a new glacier inventory containing 6892 glaciers >0.02 km2, covering a total area of 6566 ± 197 km2. This new glacier inventory indicates gross overestimation in glacier area (over 30%) in previously published glacier inventories, and reveals various spatial characteristics of glaciers in the region. Our inventory can be used as a baseline dataset for future studies including glacier change assessment.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of glaciology, 2016, v. 62, no. 233, p. 579-592-
dcterms.isPartOfJournal of glaciology-
dcterms.issued2016-
dc.identifier.isiWOS:000381452400012-
dc.identifier.scopus2-s2.0-84979700550-
dc.identifier.eissn1727-5652-
dc.identifier.rosgroupid2015002045-
dc.description.ros2015-2016 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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