基于多源遥感影像的洞庭湖地形提取方法

doi:10.11821/dlxb201907015

Abstract

Abstract:

Lake bathymetry can provide abundant information for basin planning and governance, watershed erosion and siltation management, water resource utilization, as well as environmental protection. In particular, lake bathymetry is essential for lake development and conservation, and is also closely related to sediment deposition and removal. A number of sounding techniques, such as single-beam sonar sounding, multi-beam sonar sounding, and unmanned ship sounding, have been applied to extract underwater topography of lakes. These techniques, albeit with high measurement accuracy, are time-consuming and costly. Therefore, it is of great need to develop a simple and cost-effective method. To reach this goal, recent advances of remote sensing technologies provide an alternative means of accurately measuring lake bathymetry information. Taking Dongting Lake as the study area, this paper estimated the lake bathymetry through extracting the boundaries of lake areas using multi-temporal Landsat and MODIS image series. In particular, the water level corresponding to each reference point of the lake boundary is retrieved based on trend surface analysis and kriging interpolation technology. Then the water levels of these points are regarded as the elevation points to retrieve the landform of the lakebed of the Dongting Lake. The reliability and accuracy of the developed methods were assessed through the comparsion with the actual measurements. Results indicate that the kriging interpolation technology performs well, with the average of cross-validated error target less than 0.2 meter, and the retrieval error of lake boundary with more reference points less than 1 meter. This paper suggests that an improved method for accurately and rapidly extracting lake bathymetry information can be achieved through examining the changes of water levels. This method might be of great significance for further study on lake evolution, lake development planning, and water ecological protection.

Key words: lake bathymetry, water level, remote sensing imagery, lake boundary, water retrieval, Dongting Lake

LONG Yuannan,YAN Shixiong,JIANG Changbo,WU Changshan,LI Zhiwei,TANG Rong. A new method for extracting lake bathymetry using multi-temporal and multi-source remote sensing imagery: A case study of Dongting Lake[J].Acta Geographica Sinica, 2019, 74(7): 1467-1481.

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影像获取时间	卫星/传感器名称	影像获取时间	卫星/传感器名称
2003-01-17	Landsat 5/TM	2003-08-25	MODIS 09
2003-04-15	Landsat 5/TM	2003-09-06	Landsat 5/TM
2003-05-01	Landsat 5/TM	2003-09-12	MODIS 09
2003-07-04	Landsat 5/TM	2003-09-22	Landsat 5/TM
2003-07-14	MODIS 09	2003-09-30	Landsat 7/ETM+
2003-07-20	Landsat5/TM	2003-10-07	Landsat 7/ETM+
2003-07-23	MODIS 09	2003-10-16	Landsat 7/ETM+
2003-07-27	MODIS 09	2003-10-18	MODIS 09
2003-07-28	Landsat 7/ETM+	2003-10-24	Landsat 5/TM
2003-08-01	MODIS 09	2003-11-01	Landsat 7/ETM+
2003-08-06	MODIS 09	2003-12-27	Landsat 5/TM

日期	A₁	B₁	C₁	R²	日期	A₂	B₂	C₂	R²
2003-01-17	-0.865	-4.520	11.635	0.995	2003-01-17	-8.248	-4.798	40.726	0.909
2003-04.15	-1.045	-5.069	12.043	0.996	2003-04-15	-5.135	-3.015	25.268	0.981
2003-05-01	-3.031	-1.900	17.566	0.996	2003-05-01	-7.684	-2.517	34.238	0.951
2003-07-04	-0.692	-0.372	4.078	0.974	2003-07-04	-1.334	1.855	4.299	0.934
2003-07-14	-1.294	-0.393	5.957	0.965	2003-07-14	-1.118	2.205	2.950	0.868
2003-07-23	-0.732	-0.177	3.878	0.984	2003-07-23	-0.713	2.440	1.337	0.846
2003-07-27	-1.452	-0.199	6.726	0.986	2003-07-27	-0.940	1.739	2.875	0.866
2003-07-28	-1.582	-0.162	7.252	0.965	2003-07-28	-0.928	1.648	2.935	0.896
2003-08-06	-0.802	-0.176	4.521	0.988	2003-08-06	-1.941	1.916	6.932	0.953
2003-08-25	-0.010	-0.316	1.397	0.974	2003-08-25	-2.900	2.259	10.853	0.970
2003-09-22	-0.941	0.014	133.436	0.984	2003-09-22	-1.220	3.262	71.385	0.901
2003-10-16	-0.460	-0.183	82.091	0.973	2003-10-16	-6.933	2.301	741.180	0.971
2003-10-18	-0.130	-0.307	48.045	0.974	2003-10-18	-7.369	2.187	793.331	0.983
2003-11-01	0.170	-0.897	27.823	0.994	2003-11-01	-9.443	-0.762	1109.852	0.904
2003-12-27	7.030	-4.881	-633.028	0.999	2003-12-27	-12.739	-5.299	1610.931	0.953

插值法	变异函数	均方根预测误差	标准平均值	标准均方根预测误差	平均标准误差
普通克里金	Spherical	1.589	0.566	2.166	0.596
	Exponential	1.592	0.524	2.102	0.594
	K-Bessel	1.591	0.486	2.056	0.583
泛克里金	Spherical	1.636	0.166	1.330	0.916
	Exponential	1.624	0.160	1.359	0.882
	K-Bessel	1.614	0.149	1.380	0.851

	平均绝对误差	标准偏差	均方根误差
趋势面分析法	1.76	2.08	2.21
克里金法	1.60	1.69	2.06

	平均绝对误差	标准偏差	均方根误差
东洞庭湖	1.84	1.64	2.27
南洞庭湖	1.08	1.43	1.47

A new method for extracting lake bathymetry using multi-temporal and multi-source remote sensing imagery: A case study of Dongting Lake

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