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基于MODIS积雪产品的高亚洲融雪末期雪线高度遥感监测
引用本文:王晓茹,唐志光,王建,王欣,魏俊锋. 基于MODIS积雪产品的高亚洲融雪末期雪线高度遥感监测[J]. 地理学报, 2020, 75(3): 470-484. DOI: 10.11821/dlxb202003003
作者姓名:王晓茹  唐志光  王建  王欣  魏俊锋
作者单位:湖南科技大学地理空间信息技术国家地方联合工程实验室,湖南 湘潭 411201 湖南科技大学资源环境与安全工程学院,湖南 湘潭 411201 中国科学院西北生态环境资源研究院,兰州 730000
基金项目:国家自然科学基金项目(41871058,41501070,41701061,41771075);湖南省自然科学基金项目(2018JJ3154)。
摘    要:以2001—2016年逐日MODIS积雪产品为主要数据源,在高亚洲区域发展了大尺度融雪末期雪线高度的遥感提取方法,并对其2001—2016年的时空变化特征进行了分析。提取方法首先对逐日的MODIS积雪覆盖率产品进行去云处理,获得积雪覆盖日数(SCD)数据集;并用冰川年物质平衡观测数据、融雪末期Landsat数据对提取终年积雪的MODIS SCD阈值进行率定;最后以MODIS SCD提取的终年积雪面积结合地形“面积—高程”曲线实现大尺度融雪末期雪线高度信息的提取。结果表明:① 高亚洲融雪末期雪线高度的空间异质性较强,总体上呈南高北低的纬度地带性分布规律;并因受山体效应的影响,雪线高度由高海拔地区向四周呈环形逐渐降低的特点。② 高亚洲2001—2016年融雪末期雪线高度总体上表现为明显的增加趋势。在744个30 km的监测格网中,24.2%的格网雪线高度呈显著增加,而仅0.9%的格网呈显著下降。除兴都库什、西喜马拉雅外,其他地区雪线高度均表现为升高趋势,显著上升的地区主要分布在天山、喜马拉雅中东部和念青唐古拉山等,其中以东喜马拉雅升高最为显著(8.52 m yr -1)。③ 夏季气温是影响高亚洲融雪末期雪线高度变化的主要因素,两者具有显著的正相关关系(R = 0.64,P < 0.01)。

关 键 词:雪线高度  MODIS  积雪覆盖率产品  高亚洲  遥感监测  
收稿时间:2019-01-23
修稿时间:2019-12-14

Monitoring of snowline altitude at the end of melting season in High Mountain Asia based on MODIS snow cover products
WANG Xiaoru,TANG Zhiguang,WANG Jian,WANG Xin,WEI Junfeng. Monitoring of snowline altitude at the end of melting season in High Mountain Asia based on MODIS snow cover products[J]. Acta Geographica Sinica, 2020, 75(3): 470-484. DOI: 10.11821/dlxb202003003
Authors:WANG Xiaoru  TANG Zhiguang  WANG Jian  WANG Xin  WEI Junfeng
Affiliation:National-local Joint Engineering Laboratory of Geo-spatial Information Technology, Hunan University of Science and Technology, Xiangtan 411201, Hunan, China Department of Resources, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411201, Hunan, China Northwest Institute of Eco-Environment and Resources, CAS, Lanzhou 730000, China
Abstract:The remote sensing extraction method of large-scale snowline altitude at the end of melting season is developed based on MODIS snow cover products. The spatial and temporal variation characteristics of snowline altitude at the end of melting season of the High Mountain Asia during 2001-2016 are detailedly estimated on a grid-by-grid(30 km) basis. In this method,the cloud removal of the daily MODIS snow cover products was firstly carried out based on the developed cubic spline interpolation cloud-removel method, and snow covered days(SCD) of the 16 years are extracted using the cloud-removed MODIS snow cover products. In addition,the MODIS SCD threshold for estimating perennial snow cover is calibrated using the observed data of glacier annual mass balance and Landsat data at the end of melting season. Finally, the altitude value of the snowline at the end of melting season is determined by combining the perennial snow cover area and the terrain area-elevation curve. The results are as follows:(1)There is strong spatial heterogeneity of the snowline altitude at the end of melting season in the High Mountain Asia, and the snowline altitude at the end of melting season generally decreases with the increase of latitude. Under the influence of mass elevation effect, snowline altitude at the end of melting season gradually decreases from the high altitude area to the surrounding low mountainous area.(2) Generally, the snowline altitude at the end of the melting season from 2001 to 2016 in High Mountain Asia shows an obvious increasing trend. In the 744 monitoring grids(30 km), the snowline altitude at the end of melting season in 24.2% of the grids shows a significant increasing trend, while only 0.9% with a significant decrease. The snowline altitude at the end of melting season shows an increasing trend almost in the whole the High Mountain Asia, except for the regions of Hindukush and West Himalayas. The Tianshan Mountains, central and eastern Himalayas and Nyainqentanglha mountains show a significant increasing trend, and the eastern Himalayas experiences the most significant increase of 8.52 m yr-1.(3) The summer temperature is the main factor affecting the change of snowline altitude at the end of melting season in the High Mountain Asia, with a significant positive correlation(R=0.64, p<0.01).
Keywords:snowline altitude  MODIS  snow cover products  High Mountain Asia  remote monitoring
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