时相偏差对多年冰川变化研究的影响

doi:10.13866/j.azr.2025.11.09

Abstract

Abstract:

The seasonal difference in satellite time phase directly affects the accuracy of studies of multiyear changes in glaciers. In this study, we used the daily MODIS images for the warm season (June-September) from 2000 to 2023 to establish a unified comparison standard for the daily snow-area sequence and the annual minimum snow area in glacier areas, evaluate the impact of time-phase deviation on determinations of the temporal variations in glaciers, and analyze the multi-year dynamic-variation characteristics of the snow area in the glacier areas. The results show that: (1) The maximum deviation of glacier-area estimations caused by the time-phase deviation of satellite images is -23.25%, and the deviation is still as much as 7.75% even when the period is in the range from June to September. (2) After eliminating the influence of the time-phase deviation, we found that the existing research results for the changes in the Geladandong and Animachen glacier regions have significantly underestimated the downward trend of glacier changes in the past 20 years. In addition, the rate of reduction in the area of the Animachen glacier is 17.03%, which is greater than the original finding. (3) Based on the time series for the minimum area of snow cover from 2000 to 2023, the annual rate of reduction of the Geladandong glacier over the past 24 years is 0.24%·a^-1 (a cumulative reduction of 5.42%), and that of the Animachen glacier is 0.43%·a^-1 (a cumulative reduction of 9.82%). The annual minimum snow cover area of the Geladandong glacier exhibits a significant downward trend, while that of the Animachen glacier is not obvious, which is different from the current understanding. (4) Taking these two glacier regions as typical examples, we find that the snow-cover area in the glacier regions in the hinterland of the Qinghai-Xizang Plateau usually reaches its minimum during the first ten days of August. The time-phase deviation is generally less than 0.5% when the satellite images in this period or near 20 days are selected. If instead satellite images in early June or late September are selected, the time-phase deviation may may account for more than 12% of the resulting total deviation, and the time-phase deviation of the images in June is generally less than that in September.

Key words: glacier variations, temporal phase bias, satellite remote sensing, Three-River Source region

WANG Hui, LIU Ruoxi, XU Weixin, ZHENG Zhaojun, XIAO Ruixiang, LI Huijun, WU Chengna. Impact of temporal phase bias on multiyear glacier changes[J].Arid Zone Research, 2025, 42(11): 2058-2070.

Figures/Tables 11

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冰川名称	数据集	数据日期/年-月-日
各拉丹东	Landsat 5 TM	2001-10-27
	Landsat 5 TM	2009-08-30
	Landsat 8 OLI	2015-10-12
各拉丹东	Landsat 5 TM	2000-08-21
	Landsat 5 TM	2006-08-06
	Landsat 8 OLI	2013-08-09
阿尼玛卿	Landsat ETM+	2001-08-13
	Landsat TM	2009-08-11
	Landsat ETM+	2017-08-09

TM真值	非冰川	冰川	合计	生产精度	用户精度	总体精度	Kappa系数
模式判识	非冰川	冰川	合计	生产精度	用户精度	总体精度	Kappa系数
非冰川	36089	201	36290	97.36	99.45	97.14%	0.85
冰川	977	3944	4921	95.15	80.15	97.14%	0.85

冰川名称	文献	Landsat			MODIS年最小积雪面积出现儒略日/d	偏差率/%	修正面积/km²
冰川名称	文献	日期/年-月-日	儒略日/d	面积/km²	MODIS年最小积雪面积出现儒略日/d	偏差率/%	修正面积/km²
各拉丹东各拉丹东	[8]	2001-10-27	300	937.15	201	7.23	878.23
		2009-08-30	242	924.04	234	2.53	868.21
		2015-10-12	285	905.41	212	6.72	732.42
	[9]	2000-08-21	234	825.63	196	-23.25	1239.04
		2006-08-06	218	814.09	217	-3.97	903.21
		2013-08-09	221	800.68	211	7.75	834.66
阿尼玛卿	[7]	2001-08-13	225	108.70	213	-18.42	84.51
		2009-08-11	223	102.60	251	-10.36	70.98
		2017-08-09	221	94.50	210	-9.90	70.12

Impact of temporal phase bias on multiyear glacier changes

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