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联合多源卫星测高数据获取青藏高原湖泊水位变化

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利用ICESat、Cryosat-2、ICESat-2三颗测高卫星数据提取2003-2022年青藏高原湖泊水位变化序列,并以青海湖为例对比分析Cryosat-2 LRM三种重跟踪算法(Ocean-CFI、UCL Land-ice、OCOG),结果表明,OCOG算法最优.利用青海湖、纳木错、美玛错、鲁玛江冬错的水文站数据,对通过卫星测高数据提取的湖泊水位变化时间序列精度进行评价,结果发现,本文提取的湖泊水位变化值精度较高,青海湖水位变化时间序列与下社站实测结果差异的均方根仅为0.092 m,纳木错湖水位变化时间序列与实测结果的相关系数达0.989.相同时段内不同测量技术的精度分析表明,Cryosat-2 SARIn测量模式的精度略高于ICESat-2.提取青藏高原106个湖泊2003-2022年水位序列,并分析其变化趋势,结果表明,106个湖泊中19个湖泊水位呈下降趋势,83个湖泊水位呈上升趋势.
The Changes of Lake Water Level on the Qinghai-Xizang Plateau Obtained by Combining Multi-Source Satellite Altimetry Data
The water level change series of lakes in the Qinghai-Xizang plateau from 2003 to 2022 are extracted using the data of ICESat,Cryosat-2 and ICESat-2.Taking Qinghai lake as an example,the three retracking algorithms of Cryosat-2 LRM(Ocean-CFI,UCL Land-ice and OCOG)are compared and analyzed,and the results show that OCOG algorithm is the best.The accuracy of the time series of lake water level changes extracted from satellite altimetry data is evaluated by using the hydrologi-cal station data of Qinghai lake,Nam Co,Mêmar Co and Lumaqangdong Co,and the results show that the RMS of the difference between the water level change time series of Qinghai lake and the measured results of Xiashe station is only 0.092 m,and the correlation coefficient between the water level change time series and the measured results of Nam Co is 0.989,and the accuracy analysis of dif-ferent measurement techniques in the same time period shows that the accuracy of the Cryosat-2 SA-RIn measurement mode is slightly higher than that of ICESat-2.The water level changes of 106 lakes in the Qinghai-Xizang plateau from 2003 to 2022 are extracted,and the water level change trend is an-alyzed,and the results show that the water level of 19 of the 106 lakes show a downward trend,and the water level of 83 lakes show an upward trend.

multi-source remote sensing datasatellite altimetryQinghai-Xizang plateauchanges of lake water level

宋昊天、文汉江、郭英、刘焕玲、杨熙、骆新伟

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中核勘察设计研究有限公司,郑州市农业路74号,450003

中国测绘科学研究院,北京市莲花池西路28号,100036

北京房山人卫激光国家野外科学观测研究站,北京市龙门口村,100036

测绘科学与地球空间信息技术自然资源部重点实验室,北京市莲花池西路28号,100036

山东科技大学测绘与空间信息学院,青岛市前湾港路579号,266590

自然资源部第二大地测量队,哈尔滨市铁三街2号,150086

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多源遥感数据 卫星测高 青藏高原 湖泊水位变化

2025

大地测量与地球动力学
中国地震局地震研究所 地壳运动监测工程研究中心等

大地测量与地球动力学

北大核心
影响因子:0.589
ISSN:1671-5942
年,卷(期):2025.45(1)