基于Landsat影像的柴达木盆地湖泊提取方法

doi:10.13866/j.azr.2022.03.11

Abstract

Abstract:

Lakes in the Qaidam Basin maintain regional ecological balance, supply production and domestic water consumption, and protect the ecological environment. These lakes have undergone a series of changes in response to enhanced regional climate change and human activities. To analyze characteristics of lake changes and investigate casual factors, an automatic method for lake surface delineation based on Landsat remote sensing images with a different series of sensors (the Lake Water Differential Model) was proposed by understanding TOA (top-of-atmosphere) reflectance differences between water and non-water surfaces in the Koruk Lake Basin. This model is applied to extract lake information at varying times or locations. Model performance is evaluated using overall accuracy, the Kappa coefficient, and user’s accuracy, and the derived lake surfaces were compared to those from the NDWI (Normalized Difference Water Index) and MNDWI (Modified Normalized Difference Water Index) methods. These results show the following: (1) target and non-target objects are distinguished by a TOA reflectance difference. (2) Based on a stable threshold, the Lake Water Differential Model can delineate lake surfaces. Compared with the NDWI, MNDWI, and other water body information extraction methods, the Lake Water Differential Model can more effectively suppress interference factors, such as surface rivers, ice, snow, shadows, swamps, and wetlands. In areas of model application, our proposed method can achieve a performance of 99.48% of the average OA, 99.66% of user accuracy, and 0.9877 of Kappa. (3) Input data of the model can be either TOA or Landsat (level-2) surface reflectance data. (4) The model is suitable for extracting lake water information in a large area of Qaidam Basin and provides technical support for the study of lake surface dynamics.

Key words: Landsat, lake, TOA reflectance, lake water differential model, Qaidam Basin

WEN Guangchao,LI Xing,WU Bingjie,WANG Xiaohe,XIE Hongbo. An automatic method for delineating lake surfaces in Qaidam Basin using Landsat images[J].Arid Zone Research, 2022, 39(3): 774-786.

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地区	传感器	日期/年-月-日	条带号	行号	云量/%
可鲁克湖	TM	2000-04-10	135	34	13.45
可鲁克湖	ETM+	2002-04-08	135	34	3
可鲁克湖	OLI	2016-07-27	135	34	2.36
小柴旦湖	TM	2004-06-15	136	34	0.79
尕斯库勒湖	TM	2002-05-14	139	34	14.42
青海湖	OLI	2018-07-19	133	34	20.49
察尔汗盐湖	OLI	2020-04-08	136	34	6.88

试验区域	传感器	成像时间/年-月-日	方法	OA/%	Kappa	用户精度/%
可鲁克湖	TM	2000-04-10	LWDM	99.65	0.9958	99.39
可鲁克湖	ETM+	2002-04-08		99.43	0.9932	100
可鲁克湖	OLI	2016-07-27		99.87	0.9987	99.47
小柴旦湖	TM	2004-06-15		99.65	0.9948	100
尕斯库勒湖	TM	2002-05-14		99.91	0.9988	99.65
青海湖	OLI	2018-07-19		99.87	0.9984	99.20
察尔汗盐湖	OLI	2020-04-08		97.98	0.9339	99.94
平均值				99.48	0.9877	99.66
可鲁克湖	TM	2000-04-10	NDWI	95.42	0.9450	79.12
可鲁克湖	ETM+	2002-04-08		95.07	0.9409	77.18
可鲁克湖	OLI	2016-07-27		97.83	0.9728	90.20
小柴旦湖	TM	2004-06-15		95.60	0.9340	88.34
尕斯库勒湖	TM	2002-05-14		96.38	0.9517	87.34
青海湖	OLI	2018-07-19		99.63	0.9956	97.84
察尔汗盐湖	OLI	2020-04-08		96.27	0.7363	99.89
平均值				96.60	0.9252	88.56
可鲁克湖	TM	2000-04-10	MNDWI	77.67	0.7320	42.74
可鲁克湖	ETM+	2002-04-08		64.77	0.5773	32.12
可鲁克湖	OLI	2016-07-27		96.80	0.9599	86.19
小柴旦湖	TM	2004-06-15		65.74	0.4861	49.31
尕斯库勒湖	TM	2002-05-14		71.10	0.6147	46.38
青海湖	OLI	2018-07-19		91.10	0.8932	65.19
察尔汗盐湖	OLI	2020-04-08		96.27	0.7301	89.91
平均值				80.49	0.7133	58.83

实验区域	传感器	成像时间/年-月-日	方法	OA/%	Kappa	用户精度/%
滇池	OLI	2021-03-25	LWDM	90.13	0.6295	89.86
太湖	OLI	2021-06-23		96.03	0.8185	96.32
天池	OLI	2021-06-18		99.79	0.9413	99.82

An automatic method for delineating lake surfaces in Qaidam Basin using Landsat images

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