基于InSAR和ICESat的南极冰盖地区DEM提取和精度分析

doi:10.7522/j.isnn.1000-0240.2015.0130

冰川冻土 ›› 2015, Vol. 37 ›› Issue (5): 1160-1167.doi: 10.7522/j.isnn.1000-0240.2015.0130

基于InSAR和ICESat的南极冰盖地区DEM提取和精度分析

万雷^{1 2 3}, 周春霞^{1 2}, 鄂栋臣^{1 2}, 邓方慧^{1 2}

1. 武汉大学中国南极测绘研究中心, 湖北武汉 430079;
2. 极地测绘科学国家测绘局重点实验室, 湖北武汉 430079;
3. 长江勘测规划设计研究院, 湖北武汉 430010

收稿日期:2015-05-05 修回日期:2015-07-16 出版日期:2015-10-25 发布日期:2016-03-28
通讯作者: 周春霞,E-mail:zhoucx@whu.edu.cn. E-mail:zhoucx@whu.edu.cn
作者简介:万雷(1990-),男,湖北天门人,2015年于武汉大学获硕士学位,主要从事雷达干涉测量、冰貌动态变化研究.E-mail:ygwanlei@whu.edu.cn
基金资助:
南北极环境综合考察与评估专项(CHINARE2015-02-04);国家自然科学基金项目(41376187;41076126);极地测绘科学国家测绘地理信息局重点实验室开放基金(201401)资助

DEM generation and precision analysis of Antarctic ice sheet based on InSAR and ICESat data

WAN Lei^{1 2 3}, ZHOU Chunxia^{1 2}, E Dongchen^{1 2}, DENG Fanghui^{1 2}

1. Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan 430079, China;
2. Key Laboratory of Polar Surveying and Mapping, State Bureau of Surveying and Mapping, Wuhan 430079, China;
3. Changjiang Institute of Survey, Planning, Design and Research, Wuhan 430010, China

Received:2015-05-05 Revised:2015-07-16 Online:2015-10-25 Published:2016-03-28

摘要/Abstract

摘要： 结合InSAR和ICESat测高数据,以东南极PANDA断面4个实验区为例,进行DEM生成研究.在干涉相位转换成高程前,引入ICESat测高数据作为控制点优化干涉对基线,消除基线线性误差趋势的影响.利用控制点之外的ICESat测高数据分析4个实验区的DEM精度及其差异,并探讨了引起DEM误差的原因.冰流和地貌特征是影响InSAR生成冰盖DEM精度的重要因素.针对冰流的影响,从理论上进行了分析并结合冰流速数据进行了分析验证.最后利用克里金插值法改正InSAR DEM残余误差,并利用GPS实测控制点对改正效果进行验证.结果表明:对于高纬区流速较小且分布一致的区域,改正效果很好,DEM精度可达3 m;而对于冰流速较大且复杂的地区,需采用多基线等算法进一步消弱冰流引入的误差.

关键词: InSAR, ICESat, 南极冰盖, 数字高程模型

Abstract: InSAR and ICESat data were combined to generate DEMs of four test sites along PANDA section. In order to eliminate the residual linear trend error, ICESat data was introduced to refine the baselines of the interferometric pairs as control points. Additional ICESat footprints were used to evaluate the accuracies of the DEMs. Accuracy differences of the four DEMs were analyzed and the possible reasons causing DEM errors were discussed. Topographical features and ice streams were the main factors influencing the accuracy of DEMs derived from InSAR on Antarctic Ice Sheet. The effect induced by ice streams was analyzed theoretically. Then analysis and validation were performed considering the impact of ice velocity. Furthermore, Kriging interpolation method was applied to correct the InSAR DEMs and GPS points were used to validate the result. The result showed that corrections performed very well in high latitude areas where ice velocity was small and of consistent distribution, and the accuracy of DEMs can be up to 3-m in these areas. New method like multi-baseline InSAR should be employed to improve the DEMs in areas with large and complex ice velocity.

Key words: InSAR, ICESat, Antarctic Ice Sheet, DEM

中图分类号:

P237

万雷, 周春霞, 鄂栋臣, 邓方慧. 基于InSAR和ICESat的南极冰盖地区DEM提取和精度分析[J]. 冰川冻土, 2015, 37(5): 1160-1167.

WAN Lei, ZHOU Chunxia, E Dongchen, DENG Fanghui. DEM generation and precision analysis of Antarctic ice sheet based on InSAR and ICESat data[J]. JOURNAL OF GLACIOLOGY AND GEOCRYOLOGY, 2015, 37(5): 1160-1167.

参考文献

[1] Ren Jiawen. Updating assessment results of global cryospheric change from SPM of IPCC WGI Fifth Assessment Report[J]. Journal of Glaciology and Geocryology, 2013, 35(5):1065-1067.[任贾文. 全球冰冻圈现状和未来变化的最新评估:IPCC WGI AR5 SPM发布[J]. 冰川冻土, 2013, 35(5):1065-1067.]
[2] Shen Yongping, Wang Guoya. Key findings and assessment results of IPCC WGI Fifth Assessment Report[J]. Journal of Glaciology and Geocryology, 2013, 35(5):1068-1076.[沈永平, 王国亚. IPCC第一工作组第五次评估报告对全球气候变化认知的最新科学要点[J]. 冰川冻土, 2013, 35(5):1068-1076.]
[3] Yang Kang. The progress of Greenland Ice Sheet surface ablation research[J]. Journal of Glaciology and Geocryology, 2013, 35(1):101-109.[杨康. 格陵兰冰盖表面消融研究进展[J]. 冰川冻土, 2013, 35(1):101-109.]
[4] Zwally H J, Shuman C. ICESat:ice, cloud and land elevation satellite[M]. NASA GSFC, Greenbelt, MD, Brochure FS-2002-9-047-GSFC, 2002.
[5] Magruder L A, Schutz B E, Silverberg E C. Laser pointing angle and time of measurement verification of the ICESat laser altimeter using a ground-based electro-optical detection system[J]. Journal of Geodesy, 2003, 77(3/4):148-154.
[6] Wang Chao, Zhang Hong, Liu Zhi. Synthetic Aperture Radar Interferometric[M]. Beijing:Science Press, 2002.[王超, 张红, 刘智. 星载合成孔径雷达干涉测量[M]. 北京:科学出版社, 2002.]
[7] Zhou Chunxia, E Dongchen, Liao Mingsheng. Feasibility of InSAR Application to Antarctic Mapping[J]. Geomatics and Information Science of Wuhan University, 2004, 7(29):619-623.[周春霞, 鄂栋臣, 廖明生. InSAR用于南极测图的可行性研究. 武汉大学学报(信息科学版), 2004, 7(29):619-623.]
[8] E Dongchen, Zhou Chunxia, Liao Mingsheng. Application of SAR interferometry on DEM generation of the Grove Mountains[J]. Photogrammetric Engineering & Remote Sensing, 2004, 70(10):1145-1150.
[9] Mattar K E, Vachon P W, Geudtner D, et al. Validation of alpine glacier velocity measurements using ERS tandem-mission SAR data[J]. Geoscience and Remote Sensing, IEEE Transactions on, 1998, 36(3):974-984.
[10] Sun Shaobo, Che Tao. A review of the research on snow cover monitored with synthetic aperture radar(SAR)[J]. Journal of Glaciology and Geocryology, 2013, 35(3):636-647.[孙少波, 车涛. 基于合成孔径雷达(SAR)的积雪监测研究进展[J]. 冰川冻土, 2013, 35(3):636-647.]
[11] Schuler D L, Ainsworth T L, Lee J S, et al. Topographic mapping using polarimetric SAR data[J]. International Journal of Remote Sensing, 1998, 19(1):141-160.
[12] Liu Guoxiang, Ding Xiaoli, Li Zhilin, et al. Experimental Investigation on DEM Generation through InSAR[J]. Acta Geodaetica et Cartographica Sinica, 2001, 30(04):336-342.[刘国祥, 丁晓利, 李志林, 等. 使用InSAR建立DEM的试验研究[J]. 测绘学报, 2001, 30(04):336-342.]
[13] Wang Zhiyong, Zhang Jixian, Zhang Yonghong. DEM Extraction from InSAR[J]. Bulletin of Surveying and Mapping, 2007(7):27-29.[王志勇, 张继贤, 张永红. 从InSAR干涉测量提取DEM[J]. 测绘通报, 2007(7):27-29.]
[14] Baek S, Kwoun O, Braun A, et al. Digital elevation model of King Edward VⅡ Peninsula, West Antarctica, from SAR interferometry and ICESat laser altimetry[J]. Geoscience and Remote Sensing Letters, IEEE, 2005, 2(4):413-417.
[15] Drews R, Rack W, Wesche C, et al. A spatially adjusted elevation model in Dronning Maud Land, Antarctica, based on differential SAR interferometry[J]. Geoscience and Remote Sensing, IEEE Transactions on, 2009, 47(8):2501-2509.
[16] Yamanokuchi T, Doi K, Shibuya K. Combined use of InSAR and GLAS data to produce an accurate DEM of the Antarctic ice sheet:Example from the BreivikaeAsuka station area[J]. Polar science, 2010, 4(1):1-17.
[17] Rosen P A, Hensley S, Joughin I R, et al. Synthetic aperture radar interferometry[J]. Proceedings of the IEEE, 2000, 88(3):333-382.
[18] Hanssen R F. Radar interferometry:data interpretation and error analysis[M]. Norwell, MA:Kluwer, 2001.
[19] Rignot E, Mouginot J, Scheuchl B. Ice flow of the Antarctic ice sheet[J]. Science, 2011, 333(6048):1427-1430.
[20] E Dongchen, Shen Qiang, Xu Ying, et al. High-accuracy topographical information extraction based on fusion of ASTER stereo-data and ICESat/GLAS data in Antarctica[J]. Science in China(Series D:Earth Sciences), 2009, 52(5):714-722.[鄂栋臣, 沈强, 徐莹, 等. 基于ASTER立体数据和ICESat/GLAS测高数据融合高精度提取南极地区地形信息[J]. 中国科学(D辑:地球科学), 2009, 39(3):351-359.]
[21] Zhang Shengkai, E Dongchen, Wang Zemin, et al. Ice velocity from static GPS observations along the transect from Zhongshan station to Dome A, East Antarctica[J]. Annals of Glaciology, 2008, 48(1):113-118.
[22] Wang Qinghua, E Dongchen, Chen Chunming. Antarctic Traverses from Zhongshan Station to Dome-A and the Results Analysis for the GPS Points along the Expedition Route[J]. Geomatics and Information Science of Wuhan University, 2001, 26(3):200-204.[王清华, 鄂栋臣, 陈春明. 中山站至A冰穹考察及沿线GPS复测结果分析[J]. 武汉大学学报(信息科学版), 2001, 26(3):200-204.]
[23] Yang Yuande, E Dongchen, Wang Zemin, et al. Elevation change from Zhongshan Station to Dome A using Envisat data[J]. Geomatics and Information Science of Wuhan University, 2013, 38(4):383-385.[杨元德, 鄂栋臣, 王泽民, 等. 利用Envisat数据探测中山站至Dome A条带区域冰盖高程变化[J]. 武汉大学学报(信息科学版), 2013, 38(4):383-385.]
[24] Weber H E, Zebker H A. Penetration depths inferred from interferometric volume decorrelation observed over the Greenland Ice Sheet[J]. Geoscience and Remote Sensing, IEEE Transactions on, 2000, 38(6):2571-2583.

基于InSAR和ICESat的南极冰盖地区DEM提取和精度分析

DEM generation and precision analysis of Antarctic ice sheet based on InSAR and ICESat data

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