基于遥感影像的黄河内蒙古段冰-水分类研究

doi:10.12118/j.issn.1000-6060.2021.347

Abstract

Abstract:

Timely delivery of detailed information on the spatial distribution of river ice during ice-flood season is highly valuable for predicting, and improving communication on, ice disaster. Remote sensing technology provides a key method for obtaining the spatial distribution of river ice. However, the large amount of suspended sediment in the Yellow River represents a challenge to high-precision discrimination between ice and water based on remote sensing technology. Taking the Inner Mongolia reach of the Yellow River as an example, this study compares and evaluates the performance of five indices in the classification of river ice and water: near-infrared reflectance; normalized difference water index (NDWI); normalized difference snow index (NDSI); improved normalized snow index (MNDSI); and normalized difference unfrozen water index (NDUWI). The overall classification accuracy and Kappa coefficient (a measure of reliability) were calculated for each index, and the threshold stability of each index was analyzed. The results show that NDUWI achieves the highest accuracy and reliability (Kappa coefficient) in each studied subregion. The overall classification accuracy and Kappa coefficient of NDUWI are more than 90.0% and 0.90, respectively, and the optimal discrimination threshold between river ice and ice-free water is close to the median value. These results can provide a basis for the selection of ice monitoring methods and optimization of ice-blasting locations on the Yellow River during ice-flood season.

Key words: river ice, remote sensing index, threshold stability, uncertainty, Landsat 8, Inner Mongolia reach of the Yellow River

ZHAI Yongguang,ZHANG Xin,JI Honglan,MOU Xianyou,ZHANG Baosen. Ice-water classification in Inner Mongolia reach of the Yellow River based on remote sensing images[J].Arid Land Geography, 2022, 45(3): 763-773.

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References 40

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Landsat 8 OLI 影像条带号	日期（年-月-日）	平均大气柱水汽量/g·cm^-2	混合层高度/km	Landsat 8 OLI 影像条带号	日期（年-月-日）	平均大气柱水汽量/g·cm^-2	混合层高度/km
129.032	2014-01-17	0.29	1.42	129.032	2017-02-26	0.22	2.19
128.032	2016-02-01	0.19	1.69	127.032	2018-02-15	0.12	2.23
128.032	2018-02-22	0.10	1.20	128.032	2018-02-06	0.19	2.20
130.032	2020-02-10	0.13	1.43	129.032	2018-02-13	0.17	2.23
128.032	2020-02-28	0.22	0.96	127.032	2019-01-17	0.10	2.19
127.032	2015-02-23	0.17	2.10	128.032	2019-01-24	0.26	2.13
128.032	2015-02-14	0.12	2.12	129.032	2019-02-16	0.28	2.22
129.032	2015-02-21	0.23	2.13	127.032	2020-02-21	0.22	2.13
127.032	2016-02-10	0.21	2.22	128.032	2020-02-12	0.14	2.13
128.032	2016-02-01	0.22	2.13	129.032	2020-02-19	0.22	2.22
129.032	2016-02-08	0.15	2.19	127.032	2021-01-22	0.29	2.22
127.032	2017-02-28	0.11	2.14	128.032	2021-01-29	0.29	2.19
128.032	2017-02-19	0.13	3.65	129.032	2021-02-21	0.23	2.13

	河冰真实值	水体真实值
河冰预测值	a₁₁	a₁₂
水体预测值	a₂₁	a₂₂

阈值范围	近红外波段反射率值	NDWI	NDUWI	NDSI	MNDSI
最小	0~0.37	0~0.37	0~0.22	0~0.86	-0.85~-0.05
最大	0~0.62	0~0.99	0~0.78	0~1.00	-0.98~0

分类精度	近红外波段反射率值	NDWI	NDUWI	NDSI	MNDSI
p₀/%	99.12	98.25	99.89	98.34	99.21
κ	0.98	0.98	0.99	0.9	0.98

Ice-water classification in Inner Mongolia reach of the Yellow River based on remote sensing images

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