湖盆数据未知的湖泊动态库容遥感监测方法

doi:10.11947/j.AGCS.2015.20130438

测绘学报 ›› 2015, Vol. 44 ›› Issue (3): 309-315.doi: 10.11947/j.AGCS.2015.20130438

湖盆数据未知的湖泊动态库容遥感监测方法

朱长明¹, 张新^2,3, 路明³, 骆剑承²

1. 江苏师范大学城市与环境学院, 江苏徐州 221116;
2. 中国科学院遥感与数字地球研究所, 北京 100101;
3. 河北工程大学水电学院, 河北邯郸 056038

收稿日期:2013-09-30 修回日期:2014-07-10 出版日期:2015-03-20 发布日期:2015-04-01
作者简介:朱长明(1983—),男,博士,助理研究员,研究方向为遥感信息智能提取、干旱区水文水资源及湿地生态环境遥感. E-mail:changmingzhu@yeah.net
基金资助:
国际科技合作项目(2010DFA92720);国家自然科学基金(41201460;61375002;41271367);水利部公益性行业科研专项(201201092)

Lake Storage Change Automatic Detection by Multi-source Remote Sensing without Underwater Terrain Data

ZHU Changming¹, ZHANG Xin^2,3, LU Ming³, LUO Jiancheng²

1. Department of Geography and Environment, Jiangsu Normal University, Xuzhou 221116, China;
2. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China;
3. School of Water Conservancy and Electic Power, Hebei University of Engnieering, Handan 056038, China

Received:2013-09-30 Revised:2014-07-10 Online:2015-03-20 Published:2015-04-01
Supported by:
The International Science and Technology Cooperation Program of China(No.2010DFA92720);The National Natural Science Foundation of China (Nos.41201460;61375002;41271367);The Special Funds for Scientific Research on Public Causes of the Ministry of Water Resources of China(No.201201092)

摘要/Abstract

摘要： 针对现有库容遥感监测方法对无湖盆数据区域的湖泊动态库容难以直接测算问题,提出了未知湖泊水下地形数据的遥感湖泊动态库容监测方法.该方法通过多源遥感数据,匹配相对时相的湖泊面积和水位信息,构建并模拟湖盆DEM数据,据此来估算湖泊的动态库容.在算法实现上,首先采用分布迭代水体提取从遥感影像提取湖泊的多期动态边界;其次,从ICEsat GLAS激光测高数据中反演出湖泊的动态水位高程;第三,依据时间水位信息,通过邻近时相匹配,将水位高程赋给湖泊边界线,生成湖泊等水位线;第四,通过等水位线构建TIN(triangulated irregular network)和Kriging 插值,得到模拟湖盆数字高程模型;最后,依据模拟湖盆DEM和水体面积分布、水位信息,计算湖泊动态库容.试验通过对博斯腾湖的多年动态库容监测与真实性检验,结果显示:最大误差为2.21×10⁸ m³,最小误差为0.000 02×10⁸ m³,平均误差为0.044×10⁸ m³,均方根为0.59,相关系数达到0.99.

关键词: 湖泊, 动态库容, 遥感监测, 湖盆数据

Abstract: Focusing on lake underwater terrain unknown and dynamic storage that is difficult to obtain by the traditional methods, a new method is proposed for lake dynamic storage estimation by multi-source and multi-temporal remote sensing without underwater terrain data. The details are as follows. Firstly, extraction dynamic lake boundary through steps by steps adaptive iteration water body detection algorithm from multi-temporal remote sensing imagery. And then, retrieve water level information from ICESat GLAS laser point data. Thirdly, comprehensive utilizing lake area and elevation data, the lake boundary is converted to contour of water by the water level is assigned to the lake boundary line, according to the time and water level information. Fourthly, through the contour line construction TIN (triangulated irregular network) model and Kriging interpolation, it is gotten that the simulated three-dimensional lake digital elevation model. Finally, on the basis of simulated DEM, it is calculated that the dynamic lake volume, lake area distribution and water level information. The Bosten lake is selected as a case studying to verify the algorithm. The area and dynamic water storage variations of Bosten lake are detected since 2000. The results show that, the maximum error is 2.21× 10⁸ m³, the minimum error is 0.00002× 10⁸ m³, the average error is 0.044×10⁸ m³, the root mean square is 0.59 and the correlation coefficient reached 0.99.

Key words: lake, dynamic storages, remote sensing detection, underwater terrain

中图分类号:

P237

朱长明, 张新, 路明, 骆剑承. 湖盆数据未知的湖泊动态库容遥感监测方法[J]. 测绘学报, 2015, 44(3): 309-315.

ZHU Changming, ZHANG Xin, LU Ming, LUO Jiancheng. Lake Storage Change Automatic Detection by Multi-source Remote Sensing without Underwater Terrain Data[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(3): 309-315.

参考文献

[1] LV Jietang, WANG Zhihua, ZHOU Chenghu. A Tentative Discussion on the Monitoring of the Yigong Landslide-blocked Lake with Satellite Remote Sensing Technique[J]. Acta Geoscientia Sinica, 2002, 23(4): 363-368. (吕杰堂, 王治华, 周成虎. 西藏易贡滑坡堰塞湖的卫星遥感监测方法初探[J]. 地球学报, 2002, 23(4): 363-368.)
[2] QIAO Pinglin, ZHANG Jixian, LI Haitao, et al. Reservior Water Storage Remote Sensing Monitoring Method Study[J]. Science of Surveying and Mapping, 2003, 28(3): 55-57. (乔平林, 张继贤, 李海涛, 等. 水库容水量遥感监测方法研究[J]. 测绘科学, 2003, 28(3): 55-57.)
[3] TIAN Yu, LIN Zongjian, LU Xiushan, et al. Remote Sensing Application in Resevior Storage Calculation[J]. China Rural Water and Hydropower, 2007(3):17-22. (田雨, 林宗坚, 卢秀山, 等. 遥感技术在水库水容量测算中的应用[J]. 中国农村水利水电, 2007(3): 17-22.)
[4] FOTEINOPOULOS P. Cubic Spline Interpolation to Develop Contours of Large Reservoirs and Evaluate Area and Volume[J]. Advances in Engineering Software, 2009, 40(1): 23-29.
[5] SMITH L C, PAVELSKY T M. Remote Sensing of Volumetric Storage Changes in Lakes[J]. Earth Surface Process and Landforms, 2009, 34: 1353-1358.
[6] ABILEAH P, VIGNUDELLI S. A Completely Remote Sensing Approach to Monitoring Reservoirs Water Volume[J]. International Water Technology Journal, 2011, 1(1): 59-72.
[7] ZHANG Bing, WU Yanhong, ZHU Liping, et al. Estimation and Trend Detection of Water Storage at NamCo Lake, Central Tibetan Plateau[J]. Journal of Hydrology, 2011, 405: 161-170.
[8] CAI Qing, HUANG Lu, LIANG Jie, et al. Estimation of the Water Volume of the Dongting Lake with TERRA/MODIS Data[J]. Journal of Hunan University: Natural Sciences, 2012, 39(4): 64-69. (蔡青, 黄璐, 梁婕. 基于 MODIS遥感影像数据的洞庭湖蓄水量估算[J]. 湖南大学学报:自然科学版, 2012, 39(4): 64-69.)
[9] LIU Dong, LI Yan. Poyang Lake Area and Capacity Estimation Based on Remote Sensing Technology[J]. Remote Sensing Information, 2012(2): 57-61. (刘东, 李艳. 基于遥感技术的鄱阳湖面积库容估算[J]. 遥感信息, 2012(2): 57-61.)
[10] ZHANG Jianping. Eco-environment Situation of Bosten Lake Basin and Its Countermeasures[J]. Environmental Science and Technology, 2010, 23(Sup 2): 76-79. (张建平. 博斯腾湖流域生态环境现状及治理对策浅析[J]. 环境科技, 2010, 23(Sup 2): 76-79.)
[11] FAN Chunbo, LI Jiancheng, WANG dan, et al. Application of ICESat to Geoscience Research[J]. Journal of Geodesy and Geodynamics, 2005, 25(2): 94-98. (范春波, 李建成, 王丹, 等. 激光高度计卫星ICESAT在地学研究中的应用[J]. 大地测量与地球动力学, 2005, 25(2): 94- 98.)
[12] ABSHIRE J B, SUN X L, RIRIS H, et al. Geoscience Laser Altimeter System (GLAS) on the ICESat Mission: On-orbit Measurement Performance[J]. Geophysical Research Letters, 2005, 32(21): 21-32.
[13] MI Hongyan, ZAI Jian, JIANG Xinhua. Contrast and Analysis of Reservoir Storage Calculation Methods[J]. Surveying and Mapping of Geology and Mineral Resources, 2007, 23(2): 1-4. (米鸿燕, 宰建, 蒋兴华. 静库容计算方法的比较分析[J]. 地矿测绘, 2007, 23(2): 1-4.)
[14] ZENG Huaien, HUANG Shengxiang. Research on Spatial Data Interpolation Based on Kriging Interpolation[J]. Engineering of Surveying And Mapping, 2007, 16(5): 5-10. (曾怀恩, 黄声享. 基于Kriging方法的空间数据插值研究[J]. 测绘工程, 2007, 16(5): 5-10.)
[15] MCFEETERS S K. The Use of Normalized Difference Water Index(NDWI) in the Delineation of Open Water Features[J]. International Journal of Remote Sensing, 1996, 17(7): 1425-1432.
[16] SOHN H G, JEZEK K C. Mapping Ice Sheet Margins from ERS-1 SAR and SPOT Imagery [J]. International Journal of Remote Sensing, 1999, 20: 3201-3216.
[17] LIU H, JEZEK K C. Automated Extraction of Coastline from Satellite Imagery by Integrating Canny Edge Detection and Locally Adaptive Threshold Method[J]. International Journal of Remote Sensing, 2004, 25(5): 937-958.
[18] LUO Jiancheng, SHENG Yongwei, SHEN Zhanfeng, et al. Automatic and High-precise Extraction for Water Information from Multispectral Images with the Step-by-step Iterative Transformation Mechanism[J]. Journal of Remote Sensing, 2009, 13(4): 610-615. (骆剑承, 盛永伟, 沈占锋, 等. 基于分步迭代的多光谱遥感水体信息高精度自动提取方法研究[J]. 遥感学报, 2009, 13(4): 610-615.)
[19] ZHU Changming, LUO Jiancheng, SHEN Zhanfeng, et al. River Linear Water Adaptive Auto-extraction on Remote Sensing Image Aided by DEM[J]. Acta Geodaetica et Cartographica Sinica, 2013, 42(2): 277-283. (朱长明,骆剑承,沈占锋,等. DEM辅助下的河道细小线性水体自适应迭代提取[J]. 测绘学报, 2013, 42(2): 277-283.)
[20] LI Junli, SHENG Yongwei, LUO Jiancheng. Automatic Extraction of Himalayan Glacial Lakes with Remote Sensing[J]. Journal of Remote Sensing, 2011, 15(1): 29-43. (李均力, 盛永伟, 骆剑承. 喜马拉雅山地区冰湖信息的遥感自动化提取[J].遥感学报, 2011, 15(1): 29-43.)
[21] ZHU Changming, LUO Jiancheng, LI Junli, et al. Bosten Lake Wetlands Water Level Automatic Retrieval and Trends Analysis Based on ICESat Global Laser Point Data[J]. Lecture Notes in Computer Science, 2012, 7202: 582-590.

湖盆数据未知的湖泊动态库容遥感监测方法

Lake Storage Change Automatic Detection by Multi-source Remote Sensing without Underwater Terrain Data

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