The spatial local accuracy of land cover datasets over the Qiangtang Plateau,High Asia     

Liu  Qionghuan  Zhang  Yili  Liu  Linshan  Li  Lanhui  Qi  Wei 《地理学报(英文版)》2019,29(11):1841-1858

We analyzed the spatial local accuracy of land cover (LC) datasets for the Qiangtang Plateau, High Asia, incorporating 923 field sampling points and seven LC compilations including the International Geosphere Biosphere Programme Data and Information System (IGBPDIS), Global Land cover mapping at 30 m resolution (GlobeLand30), MODIS Land Cover Type product (MCD12Q1), Climate Change Initiative Land Cover (CCI-LC), Global Land Cover 2000 (GLC2000), University of Maryland (UMD), and GlobCover 2009 (Glob-Cover). We initially compared resultant similarities and differences in both area and spatial patterns and analyzed inherent relationships with data sources. We then applied a geographically weighted regression (GWR) approach to predict local accuracy variation. The results of this study reveal that distinct differences, even inverse time series trends, in LC data between CCI-LC and MCD12Q1 were present between 2001 and 2015, with the exception of category areal discordance between the seven datasets. We also show a series of evident discrepancies amongst the LC datasets sampled here in terms of spatial patterns, that is, high spatial congruence is mainly seen in the homogeneous southeastern region of the study area while a low degree of spatial congruence is widely distributed across heterogeneous northwestern and northeastern regions. The overall combined spatial accuracy of the seven LC datasets considered here is less than 70%, and the GlobeLand30 and CCI-LC datasets exhibit higher local accuracy than their counterparts, yielding maximum overall accuracy (OA) values of 77.39% and 61.43%, respectively. Finally, 5.63% of this area is characterized by both high assessment and accuracy (HH) values, mainly located in central and eastern regions of the Qiangtang Plateau, while most low accuracy regions are found in northern, northeastern, and western regions.

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基于SAR影像的喜马拉雅山珠穆朗玛峰地区冰川运动速度特征及其影响因素分析     

王欣  刘琼欢  蒋亮虹  刘时银  丁永建  蒋宗立 《冰川冻土》2015,37(3):570-579

合成孔径雷达(synthetic aperture radar, SAR)具有其全天候、全天时、穿云透雾的工作能力, 广泛应用于山地冰川动态监测中. 利用2006年6-9月三期ALOS/PALSAR雷达影像, 采用偏移量跟踪技术, 提取了喜马拉雅山珠穆朗玛峰(珠峰)区域的冰川运动速度, 分析了区域内冰川运动速度空间差异及其影响因素. 结果表明: 研究区31条山谷冰川平均运动速度为9.3 cm·d^-1, 总体上以珠峰-洛子峰南北向山脊线为界限, 东侧和东南侧冰川日均运动速度(11.1 cm·d^-1)普遍高于北部和西北部冰川日均运动速度(5.4 cm·d^-1). 冰川消融区非表碛区冰川平均运动速度为表碛覆盖区平均运动速度的2.2倍, 冰面湖的发育在一定程度上加剧冰川运动速度波动. 在气候与非气候因子共同作用和相互间的此消彼长中, 研究区65%的冰川的运动速度自中值高度往下显著减小, 16%的冰川自中值高度往下呈显著增大趋势, 19%冰川消融区运动速度无显著变化趋势.  相似文献   

基于3S技术方法的中国冰湖编目   总被引：1，自引：0，他引：1  

杨成德  王欣  魏俊峰  刘琼欢  鲁安新  张勇  唐志光 《地理学报》2019,74(3):544-556

通过研制一整套基于3S技术的冰湖编目规范与方法,以159景Landsat8 OLI遥感影像为基础,结合中国第二次冰川编目数据与Google Earth中的影像数据等,通过人工目视解译获取冰湖边界,首次完成了基于统一规范的中国冰湖编目数据库建设,查清了2015±1~2年中国冰湖的整体分布状态。结果显示,当前中国共有冰湖17300个,总面积1132.83±147.449 km²,其中冰川补给湖约占中国冰湖总面积的74.6%和总数量的66.5%。并且冰湖数量与面积分布的空间差异十分显著。流域上,外流区冰湖广泛发育,其中恒河—雅鲁藏布江流域是中国冰湖分布最多的流域,现有冰湖7898个,面积约622.42±75.55 km²,分别占中国冰湖总量的45.7%和54.9%;海拔上,中国冰湖分布于2167~6247 m的海拔范围内,各山脉的冰湖面积呈近似正态分布,总体在5000~5500 m处达到峰值,占总面积的36.7%（975.06±128.83 km²）;但各个山脉的分布差异显著,其中念青唐古拉山、喜马拉雅山的冰湖分布最为集中,分别占中国冰湖总面积的28.3%和26.4%。  相似文献   

Heterogeneity of glacial lake expansion and its contrasting signals with climate change in Tarim Basin,Central Asia   总被引：2，自引：0，他引：2  

Xin Wang  Qionghuan Liu  Shiyin Liu  Junfeng Wei  Zongli Jiang 《Environmental Earth Sciences》2016,75(8):696

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