Research on the Algorithm of Lake Surface Height Inversion in Qinghai Lake Based on Sentinel-3A Altimeter

被引:0
|
作者
Chen, Chuntao [1 ]
Li, Xiaoqing [1 ]
Zhu, Jianhua [2 ]
Peng, Hailong [3 ,4 ]
Xue, Youhua [5 ]
Zhai, Wanlin [2 ]
Lin, Mingsen [4 ]
Zhang, Yufei [3 ,4 ]
Liu, Jiajia [1 ]
Zhao, Yili [6 ]
机构
[1] Yantai Univ, Sch Ocean, Yantai 264005, Peoples R China
[2] Minist Nat Resources, Natl Ocean Technol Ctr, Tianjin 300112, Peoples R China
[3] Minist Nat Resources, Key Lab Space Ocean Remote Sensing & Applicat, Beijing 100081, Peoples R China
[4] Minist Nat Resources, Natl Satellite Ocean Applicat Serv, Beijing 100081, Peoples R China
[5] Hainan Aerosp Technol Innovat Ctr, Wenchang 571300, Peoples R China
[6] Jiangsu Ocean Univ, Sch Marine Technol & Geomat, Lianyungang 222005, Peoples R China
基金
中国国家自然科学基金;
关键词
lake surface height; SAR altimeter; Sentinel-3A; GPS buoy; Qinghai Lake; WATER-LEVEL CHANGES; TIBETAN PLATEAU; ABSOLUTE CALIBRATION; CRYOSAT-2; ALTIMETRY; ENVISAT ALTIMETRY; RADAR ALTIMETER; DYNAMICS; VOLUME; CHINA;
D O I
10.3390/rs17040647
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Lakes are a crucial component of inland water bodies, and changes in their water levels serve as key indicators of global climate change. Traditional methods of lake water level monitoring rely heavily on hydrological stations, but there are problems such as regional representativeness, data stability, and high maintenance costs. The satellite altimeter is an essential tool in lake research, with the Synthetic Aperture Radar (SAR) altimeter offering a high spatial resolution. This enables precise and quantitative observations of lake water levels on a large scale. In this study, we used Sentinel-3A SAR Radar Altimeter (SRAL) data to establish a more reasonable lake height inversion algorithm for satellite-derived lake heights. Subsequently, using this technology, a systematic analysis study was conducted with Qinghai Lake as the case study area. By employing regional filtering, threshold filtering, and altimeter range filtering techniques, we obtained effective satellite altimeter height measurements of the lake surface height. To enhance the accuracy of the data, we combined these measurements with GPS buoy-based geoid data from Qinghai Lake, normalizing lake surface height data from different periods and locations to a fixed reference point. A dataset based on SAR altimeter data was then constructed to track lake surface height changes in Qinghai Lake. Using data from the Sentinel-3A altimeter's 067 pass over Qinghai Lake, which has spanned 96 cycles since its launch in 2016, we analyzed over seven years of lake surface height variations. The results show that the lake surface height exhibits distinct seasonal patterns, peaking in September and October and reaching its lowest levels in April and May. From 2016 to 2023, Qinghai Lake showed a general upward trend, with an increase of 2.41 m in lake surface height, corresponding to a rate of 30.0 cm per year. Specifically, from 2016 to 2020, the lake surface height rose at a rate of 47.2 cm per year, while from 2020 to 2022, the height remained relatively stable.
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页数:27
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