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A consistent glacier inventory for the Karakoram and Pamir regions derived from Landsat data: distribution of debris cover and mapping challenges

机译：用于帕拉克拉姆和帕米尔地区的一致冰川库存，来自Landsat数据：碎片覆盖的分布和绘制挑战

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Nico Mölg; Tobias Bolch; Philipp Rastner; Tazio Strozzi; Frank Paul;
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1. A consistent glacier inventory for Karakoram and Pamir derived from Landsat data: distribution of debris cover and mapping challenges [J] . M?lg Nico, Bolch Tobias, Rastner Philipp, Earth System Science Data . 2018,第4期

机译：根据Landsat数据得出的喀喇昆仑山和帕米尔高原冰川的一致清单：碎片覆盖的分布和制图挑战
2. A consistent glacier inventory for Karakoram and Pamir derived from Landsat data: distribution of debris cover and mapping challenges [J] . M?lg Nico, Bolch Tobias, Rastner Philipp, Earth System Science Data Discussions . 2018,第4期

机译：根据Landsat数据得出的喀喇昆仑山和帕米尔高原冰川的一致清单：碎片覆盖的分布和制图挑战
3. Spatial distribution of debris thickness and melting from remote-sensing and meteorological data, at debris-covered Baltoro glacier, Karakoram, Pakistan [J] . Mihalcea C., Mayer C., Diolaiuti G., Annals of Glaciology . 2008,第0期

机译：巴基斯坦喀喇昆仑州巴尔托洛冰川覆盖的碎片和遥感数据的碎片厚度和融化的空间分布
4. Glacier changes in the west Kunlun Shan from 1970 to 2001 derived from Landsat TM/ETM+ and Chinese glacier inventory data [C] . SHANGGUAN Donghui, LIU Shiyin, DING Yongjian, International Symposium on Cryospheric Indicators of Global Climate Change . 2007

机译：1970年至2001年西昆仑山的冰川变化来自Landsat TM / ETM +和中国冰川库存数据
5. Forest carbon mapping and spatial uncertainty analysis: Combining national forest inventory data and Landsat TM images [D] . Fleming, Andrew Lawrence 2011

机译：森林碳测绘和空间不确定性分析：结合国家森林清单数据和Landsat TM影像
6. Evaluating glacier surges in Karakoram region using earth observation data [O] . Ulfat Majeed, Irfan Rashid 2020

机译：利用地球观测数据评估喀喇昆仑地区的冰川激增
7. A consistent glacier inventory for Karakoram and Pamir derived from Landsat data: distribution of debris cover and mapping challenges [O] . Nico Mölg, Tobias Bolch, Philipp Rastner, 2018

机译：用于喀喇昆仑和帕米尔的一致冰川库存，源于Landsat数据：碎片覆盖的分布和绘制挑战

A consistent glacier inventory for the Karakoram and Pamir regions derived from Landsat data: distribution of debris cover and mapping challenges

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