基于MODIS积雪产品的高亚洲融雪末期雪线高度遥感监测

doi:10.11821/dlxb202003003

Abstract

Abstract:

The remote sensing extraction method of large-scale snowline altitude at the end of melting season is developed based on MODIS snow cover products. The spatial and temporal variation characteristics of snowline altitude at the end of melting season of the High Mountain Asia during 2001-2016 are detailedly estimated on a grid-by-grid (30 km) basis. In this method, the cloud removal of the daily MODIS snow cover products was firstly carried out based on the developed cubic spline interpolation cloud-removel method, and snow covered days (SCD) of the 16 years are extracted using the cloud-removed MODIS snow cover products. In addition, the MODIS SCD threshold for estimating perennial snow cover is calibrated using the observed data of glacier annual mass balance and Landsat data at the end of melting season. Finally, the altitude value of the snowline at the end of melting season is determined by combining the perennial snow cover area and the terrain area-elevation curve. The results are as follows: (1) There is strong spatial heterogeneity of the snowline altitude at the end of melting season in the High Mountain Asia, and the snowline altitude at the end of melting season generally decreases with the increase of latitude. Under the influence of mass elevation effect, snowline altitude at the end of melting season gradually decreases from the high altitude area to the surrounding low mountainous area. (2) Generally, the snowline altitude at the end of the melting season from 2001 to 2016 in High Mountain Asia shows an obvious increasing trend. In the 744 monitoring grids (30 km), the snowline altitude at the end of melting season in 24.2% of the grids shows a significant increasing trend, while only 0.9% with a significant decrease. The snowline altitude at the end of melting season shows an increasing trend almost in the whole the High Mountain Asia, except for the regions of Hindukush and West Himalayas. The Tianshan Mountains, central and eastern Himalayas and Nyainqentanglha mountains show a significant increasing trend, and the eastern Himalayas experiences the most significant increase of 8.52 m yr ^-1. (3) The summer temperature is the main factor affecting the change of snowline altitude at the end of melting season in the High Mountain Asia, with a significant positive correlation (R=0.64, p<0.01).

Key words: snowline altitude, MODIS, snow cover products, High Mountain Asia, remote monitoring

WANG Xiaoru, TANG Zhiguang, WANG Jian, WANG Xin, WEI Junfeng. Monitoring of snowline altitude at the end of melting season in High Mountain Asia based on MODIS snow cover products[J].Acta Geographica Sinica, 2020, 75(3): 470-484.

Figures/Tables 12

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区域	夏季气温	年平均气温	夏季降水	年降水
青藏高原东南部	0.69^**	0.72^**	0.42	0.40
横断山	0.34	0.34	0.29	-0.01
祁连山	0.72^**	0.60^*	0.19	0.03
青藏高原内部	0.32	0.13	-0.26	-0.23
东天山	0.60^*	0.22	-0.01	0.08
西天山	0.76^**	0.29	0.004	-0.16
东喜马拉雅	0.67^**	0.38	-0.14	-0.21
东昆仑	0.64^**	0.47	-0.09	-0.06
中喜马拉雅	0.58^*	0.53^*	0.31	-0.23
帕米尔	0.75^**	0.37	0.02	-0.02
西喜马拉雅	0.83^**	0.55^*	0.01	-0.01
阿尔泰—萨彦岭	0.66^**	0.12	0.28	0.02
希萨尔—阿莱山	0.83^**	0.11	-	-
兴都库什	0.63^**	0.26	-	-
西昆仑	-	-	-	-
喀喇昆仑	-	-	-	-

编号	冰川名称	物质平衡观测年数	线性方程	R²
1	帕隆94号冰川	10	y=-20.797x+112856	0.36
2	七一冰川	7	y=-6.0463x+30172	0.50
3	乌源1号冰川	16	y=-4.4547x+19215	0.42
4	小冬克玛底冰川	10	y=-49.359x+279566	0.64
5	CHHOTASHIGRI	12	y=-8.8258x+46542	0.86
6	CHORABARI	7	y=-0.3482x+1257.1	0.19
7	TS.TUYUKSUYSKIY	16	y=-12.608x+50791	0.58
8	MERA	8	y=-6.4232x+39766	0.58
9	POKALDE	6	y=-6.415x+39131	0.32
10	LEVIYAKTRU	12	y=-0.7471x+2283.9	0.01
11	MALIYAKTRU	12	y=-6.7223x+22876	0.72
12	VODOPADNIY(NO.125)	12	y=-5.0136x+17001	0.67

Monitoring of snowline altitude at the end of melting season in High Mountain Asia based on MODIS snow cover products

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