Monitoring the water level changes in Qinghai Lake with satellite altimetry data

Yun ZHAO; Jingjuan LIAO; Guozhuang SHEN; Xueliang ZHANG

doi:10.11834/jrs.20176217

Views : 0 下载量: 688 CSCD: 29

PDF
Export
Share
Collection
Album

Monitoring the water level changes in Qinghai Lake with satellite altimetry data
Vol. 21, Issue 4, Pages: 633-644(2017)
Received：22 June 2016，

Accepted：19 February 2017，

Published：2017-07
DOI： 10.11834/jrs.20176217
稿件说明：

移动端阅览

赵云, 廖静娟, 沈国状, 张学良. 2017. 卫星测高数据监测青海湖水位变化. 遥感学报, 21(4): 633–644 DOI： 10.11834/jrs.20176217.

Zhao Y, Liao J J, Shen G Z and Zhang X L. 2017. Monitoring the water level changes in Qinghai Lake with satellite altimetry data. Journal of Remote Sensing, 21(4): 633–644 DOI： 10.11834/jrs.20176217.

摘要

为了验证Cryosat-2/SIRAL数据监测湖泊水位的能力，提高其提取湖泊水位变化的精度，以青海湖为研究对象，利用主波峰重心偏移法、主波峰阈值法、主波峰5-β参数法、传统重心偏移法、传统阈值法和传统5-β参数法6种算法对Cryosat-2/SIRAL LRM 1级数据进行波形重跟踪，提取青海湖2010—2015年湖泊水位，对比不同算法获取水位的精度，并结合Envisat/RA-2 GDR数据，延长水位变化时间序列，获得青海湖2002年—2015年的水位变化信息。结果表明，主波峰5-β参数法提取湖泊水位的精度最好，均方根误差为0.093 m；对于GDR产品中LRM模式的3种数据，基于Refined OCOG算法的数据更适合湖泊水位的提取；青海湖2002年—2015年水位整体上涨，水位平均变化趋势为0.112 m/年，年内水位变化呈现明显的季节性。

Abstract

Lake is an important water resource and a sensitive indicator of climate and environment change. Satellite altimetry has been used as an alternative tool to measure lake levels since the 1990s. With the development of satellite altimetry technology

different altimetry thatcan be used for lake level monitoring has been launched. This paper aims to verify Cryosat-2/SIRAL data capabilities of monitoring lake level

improve the extraction accuracy of lake level changes

and monitor the water level change of Qinghai Lake. The boundary of the lake was first extracted using the image of MODIS13Q1 close to the date altimeter visited to ensure the observation points in the lake. This study used six kinds of algorithms to retrack Cryosat-2/SIRAL LRM level 1 data in order to extract the Qinghai Lake water levels from 2010 to 2015

including the primary peak Offset Center of Gravity (OCOG)

primary peak threshold

primary peak 5-β parameter

traditional OCOG

traditional threshold

and traditional 5-β parameter methods. Furthermore

the Cryosat-2/SIRAL GDRs of LRM mode provides three different retrackers: UCL

refined CFI

and refined OCOG. The accuracy of all these different algorithms in extracting water level was then compared with the measured water level of the hydrological station using the indexes

such as the difference

correlation coefficient

and root mean square error (RMSE). The 2002 to 2015 water level time series of Qinghai Lake was obtained and combined with the Envisat/RA-2 GDR data by adding the differences between the lake levels extracted from Envisat/RA-2 and Cryosat-2/SIRAL. The seasonal and inter-annual variation features of Qinghai Lake water level were then analyzed. The results showed that the primary peak 5-β parameter retracker for Qinghai Lake performed the best with the least RMSE 0.093 m and a maximum correlation coefficient (0.956) among these retrackers. Generally

the water level extraction accuracy of the retrackers based on the primary peak is better than the retrackers based on the entire waveform. While for these waveforms which are influenced by land echo information

the primary peak OCOG algorithm and primary peak threshold algorithm presented were better than others. Comparing the three kinds of Cryosat-2/SIRAL GDR products for LRM patterns

the data based on the refined OCOG algorithm was more suitable for extraction of lake level. In addition

the water level of Qinghai Lake generally rose from 2002 to 2015 with the overall increasing trend of 0.112 m/a

with marked seasonal changes in a year. The water level began to rise in May and December each year

with respectively high peaks in September and January. Based on the preceding experiments and analysis

the Cryosat-2/SIRAL LRM data can be used to extract lake levels with high precision at approximately 1 dm. Retracking for altimetry level 1b data could improve the water level extraction accuracy. The best adaptive retracking algorithm for different types of lakes is often different because they show different echo waveforms. The analysis in the paper is rough; hence

the next step is selecting different types of lakes to obtain a detailed comparative analysis.

关键词

Keywords

references

Bao L F, Lu Y and Wang Y. 2009. Improved retracking algorithm for oceanic altimeter waveforms. Progress in Natural Science, 19(2): 195–203

Bouffard J. 2015. CryoSat level-2 product evolutions and quality improvements in baseline C [J/OL]. [2016-03-1] . https://earth.esa.int/ web/guest/document-library/browse-document-library/-/article/ cryosat-level-2-product-evolutions-and-quality-improvements-in-baseline-c https://earth.esa.int/web/guest/document-library/browse-document-library/-/article/cryosat-level-2-product-evolutions-and-quality-improvements-in-baseline-c

褚永海, 李建成, 张燕, 徐新禹, 范春波, 邹贤才. 2005. ENVISAT测高数据波形重跟踪分析研究. 大地测量与地球动力学, 25(1): 76–80

Chu Y H, Li J C, Zhang Y, Xu X Y, Fan C B and Zou X C. 2005. Analysis and investigation of waveform retracking data of ENVISAT. Journal of Geodesy and Geodynamics, 25(1): 76–80

Davis C H. 1996. A robust threshold retracking algorithm for extracting ice-sheet surface elevations from satellite radar altimeters // 1996 International Geoscience and Remote Sensing Symposium: Remote Sensing for a Sustainable Future. Lincoln, NE: IEEE: 1783–1787.

Frappart F, Calmant S, Cauhope M, Seyler F and Cazenave A. 2006. Preliminary results of ENVISAT RA-2-derived water levels validation over the Amazon basin. Remote Sensing of Environment, 100(2): 252–264

高乐. 2014. 基于卫星测高技术的青藏高原湖泊水位和冰川高程变化监测研究. 北京: 中国科学院大学: 30–90

Gao L. 2014. Monitoring the changes in lake level and glacier elevation in the Qinghai-Tibetan Plateau using satellite altimetry data. Beijing: University of Chinese Academy of Sciences: 30–90

Gao L, Liao J J and Shen G Z. 2013. Monitoring lake-level changes in the Qinghai-Tibetan Plateau using radar altimeter data (2002-2012). Journal of Applied Remote Sensing, 7(1): 073470

高永刚. 2006. 利用卫星测高进行陆地湖泊水位变化监测. 南京: 河海大学: 3–70

Gao Y G. 2006. Lake level variations from satellite altimetry. Nanjing: Hohai University: 3–70

高永刚, 郭金运, 岳建平. 2008. 卫星测高在陆地湖泊水位变化监测中的应用. 测绘科学, 33(6): 73–75

Gao Y G, Guo J Y and Yue J P. 2008. Lake level variations measurement with satellite altimetry. Science of Surveying and Mapping, 33(6): 73–75

郭海荣, 焦文海, 杨元喜. 2004. 1985国家高程基准与全球似大地水准面之间的系统差及其分布规律. 测绘学报, 33(2): 100–104

Guo H R, Jiao W H and Yang Y X. 2004. The systematic difference and its distribution between the 1985 National Height Datum and the Global Quasigeoid. Acta Geodaetica et Cartographica Sinica, 33(2): 100–104

Hwang C, Guo J Y, Deng X L, Hsu H Y and Liu Y T. 2006. Coastal gravity anomalies from retracked geosat/GM altimetry: improvement, limitation and the role of airborne gravity data. Journal of Geodesy, 80(4): 204–216

Jain M, Andersen O B, Dall J and Stenseng L. 2015. Sea surface height determination in the Arctic using Cryosat-2 SAR data from primary peak empirical retrackers. Advances in Space Research, 55(1): 40–50

姜卫平,褚永海,李建成, 姚永顺. 2008. 利用ENVISAT测高数据监测青海湖水位变化. 武汉大学学报(信息科学版), 33(1): 64–67

Jiang W P, Chu Y H, Li J C and Yao Y S. 2008. Water level variation of Qinghai Lake from altimeteric data. Geomatics and Information Science of Wuhan University, 33(1): 64–67

焦文海, 魏子卿, 马欣, 孙中苗, 李迎春. 2002. 1985国家高程基准相对于大地水准面的垂直偏差. 测绘学报, 31(3): 196–200

Jiao W H, Wei Z Q, Ma X, Sun Z M and Li Y C. 2002. The origin vertical shift of National Height Datum 1985 with respect to the Geoidal Surface. Acta Geodaetica et Cartographica Sinica, 31(3): 196–200

Kleinherenbrink M, Ditmar P G and Lindenbergh R C. 2014. Retracking Cryosat data in the SARIn mode and robust lake level extraction. Remote Sensing of Environment, 152: 38–50

Kleinherenbrink M, Lindenbergh R C and Ditmar P G. 2015. Monitoring of lake level changes on the Tibetan Plateau and Tian Shan by retracking Cryosat SARIn waveforms. Journal of Hydrology, 521: 119–131

Lee H, Shum C K, Tseng K H, Guo J Y and Kuo C Y. 2011. Present-day lake level variation from Envisat altimetry over the northeastern Qinghai-Tibetan Plateau: Links with precipitation and temperature. Terrestrial, Atmospheric and Oceanic Sciences, 22(2): 169–175

李建成, 褚永海, 姜卫平, 徐新禹. 2007. 利用卫星测高资料监测长江中下游湖泊水位变化. 武汉大学学报(信息科学版), 32(2): 144–147

Li J C, Chu Y H, Jiang W P and Xu X Y. 2007. Monitoring level fluctuation of lakes in Yangtze River basin by altimetry. Geomatics and Information Science of Wuhan University, 32(2): 144–147

李建成, 金涛勇. 2013. 卫星测高技术及应用若干进展. 测绘地理信息, 38(4): 1–8

Li J C and Jin T Y. 2013. On the main progress of satellite altimetry and its applications. Journal of Geomatics, 38(4): 1–8

李林, 朱西德, 王振宇, 汪青春. 2005. 近42a来青海湖水位变化的影响因子及其趋势预测. 中国沙漠, 25(5): 689–696

Li L, Zhu X D, Wang Z Y and Wang Q C. 2005. Impacting factors and changing tendency of water level in Qinghai Lake in recent 42 years. Journal of Desert Research, 25(5): 689–696

李燕, 段永强, 金永明. 2014. 1956-2011年青海湖变化特征及原因分析. 人民黄河, 36(6): 87–89, 112

Li Y, Duan Y Q and Jin Y M. 2014. Analysis of features and causes of Qinghai Lake during the period of 1956-2011. Yellow River, 36(6): 87–89, 112

Martin T V, Zwally H J, Brenner A C and Bindschadler R A. 1983. Analysis and retracking of continental ice sheet radar altimeter waveforms. Journal of Geophysical Research, 88(C3): 1608–1616

Medina C E, Gomez-Enri J, Alonso J J and Villares P. 2008. Water level fluctuations derived from ENVISAT Radar Altimeter (RA-2) and in-situ measurements in a subtropical waterbody: Lake Izabal (Guatemala). Remote Sensing of Environment, 112(9): 3604–3617

Michailovsky C I, McEnnis S, Berry P A M, Smith R and Bauer-Gottwein P. 2012. River monitoring from satellite radar altimetry in the Zambezi River basin. Hydrology and Earth System Sciences, 16(7): 2181–2192

Song C Q, Ye Q H, Sheng Y W and Gong T L. 2015. Combined ICESat and CryoSat-2 altimetry for accessing water level dynamics of Tibetan Lakes over 2003-2014. Water, 7(9): 4685–4700

Wingham D J, Francis C R, Baker S, Bouzinac C, Brockley D, Cullen R, de Chateau-Thierry P, Laxon S W, Mallow U, Mavrocordatos C, Phalippou L, Ratier G, Rey L, Rostan F, Viau P and Wallis D W. 2006. CryoSat: A mission to determine the fluctuations in Earth’s land and marine ice fields. Advances in Space Research, 37(4): 841–871

Wingham D J, Rapley C G and Griffiths H D. 1986. New techniques in satellite altimeter tracking systems // Proceedings of IGARSS’86 Symposium. Zurich: ESA Publications Division, 3: 1339–1344

杨桂山, 马荣华, 张路, 姜加虎, 姚书春, 张民, 曾海鳌. 2010. 中国湖泊现状及面临的重大问题与保护策略. 湖泊科学, 22(6): 799–810

Yang G S, Ma R H, Zhang L, Jiang J H, Yao S C, Zhang M and Zeng H A. 2010. Lake status, major problems and protection strategy in China. Journal of Lake Sciences, 22(6): 799–810

Yang L, Lin M S, Liu Q H and Pan D L. 2012. A coastal altimetry retracking strategy based on waveform classification and sub-waveform extraction. International Journal of Remote Sensing, 33(24): 7806–7819

伊万娟, 李小雁, 崔步礼, 马育军. 2010. 青海湖流域气候变化及其对湖水位的影响. 干旱气象, 28(4): 375–383

Yi W J, Li X Y, Cui B L and Ma Y J. 2010. Climate change and impact on water Level of the Qinghai Lake watershed. Journal of Arid Meteorology, 28(4): 375–383

Zhang G Q, Xie H J, Kang S C, Yi D H and Ackley S F. 2011. Monitoring lake level changes on the Tibetan Plateau using ICESat altimetry data (2003-2009). Remote Sensing of Environment, 115(7): 1733–1742

张金龙, 陈英, 葛劲松, 聂学敏. 2013. 1997-2010年青海湖环湖区土地利用/覆盖变化与土地资源管理. 中国沙漠, 33(4): 1256–1266

Zhang J L, Chen Y, Ge J S and Nie X M. 2013. Land use/cover change and land resources management in the area around the Qinghai Lake of China in 1977-2010. Journal of Desert Research, 33(4): 1256–1266

Alert me when the article has been cited

提交

SWOT卫星对青海湖的水位监测潜力研究

Progress and prospects of remote sensing of lake ice thickness

Monitoring lake level change in La-ang Co from 1992 to 2020 using multi-altimeter data

Monitoring lakes and reservoirs using satellite radar altimetry： Theory， methods， and progresses