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Use of a multi-temporal grid method to analyze changes in glacier coverage in the Tibetan Plateau

查看全文 作  者:Qinghua [1,2]Ye;Feng [1]Chen;Alfred [3]Stein;Zhenwei [1]Zhong 高影响力作者 机构地区:[1]Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research,Chinese Academy of Sciences (CAS), Beijing 100085, China;[2]State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications of CAS, Beijing 100101, China;[3]Internationai Institute for Geo-lnformation Science and Earth Observation (ITC), PO Box 6, 7500 AA Ensche-de, The Netherlands高影响力机构 出  处:《Progress in Natural Science:Materials International》索引2009年第19卷第7期,共12页高影响力期刊 基  金:supported by the National Natural Science Foundation of China (40601056 and 40121101);the Special Science Foundation on Meteorological Project Research for Public Benefit (GYHY(QX)2007-6-18);the Opening Fund Projects of State Key Laboratory of Remote Sensing Science in the Institute of Remote Sensing Applications, the Innovative Project of Institute of Tibetan Plateau Research (ITPR), CAS and through a cooperation project between the Climate Change Institute, University of Maine supported by the National Oceanic and Atmospheric Administration (NA04OAR4600179) and the Institute of Tibatan Plateau Research(ITPR),CAS 摘  要:This paper describes a multi-temporal grid method for quantifying changes in glacier coverage. A multi-temporal grid synthesizes spatial, attribute and process components of glacier information by sequentially combining spatial data from satellite images or maps. It enables us to identify glacier retreat and advance areas in individual grid cells for three or more periods of data sets. Discrepancies among the sequential data sets were detected graphically and numerically, including noise from geo-location error, misclassification, or different interpretation results in various pixel resolutions. Noise was detected and corrected to a large extent by visualization of the synthetic grid. The paper compares the results with that from a common method based on individual data sets, focusing on the Mt. Naimona’Nyi and Mt. Qomolangma regions at the northern slopes of the Himalayas. Results show that the identified noise (e.g. by 2.5 km2 in the Mt. Naimona’Nyi region) is much larger than measurement uncertainty calculated by sensor resolution and coregistration error (e.g. by 0.015 km2 in the Mt. Naimona’Nyi region). After noise removal, we notice that glacier recession clearly accelerates. The multi-temporal grid method results in a better quantification of glacier variation. It shows that glaciers in the Himalayas have both retreated and advanced during the last several decades, with retreat dominating and accelerating. Glaciers on the northern slope of Mt. Qomolangma in the middle Himalayas retreat more extensively and faster than those in the Mt. Naimona’Nyi region in the western Himalayas. 关 键 词:青藏高原 网格方法 覆盖 冰川
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