Glaciers are sensitive indicators of climate change, and studying their dynamic changes is of great significance for revealing global climate change. The northern slope of the Tianshan Mountains is greatly affected by the Siberian high pressure, with an annual average temperature of -0.71 ° C and an annual average precipitation of 289mm. Summer precipitation accounts for 52% of the annual precipitation, and the precipitation gradually decreases from west to east. Affected by global climate change, glaciers on the northern slope of the Tianshan Mountains are showing a rapid retreat trend. In the latest global glacier cataloging dataset (RGI 7.0), the glacier interpretation data sources on the northern slope of the Tianshan Mountains were mainly around 2010, and the timeliness of the data is difficult to meet practical needs. The results show that in 2020, the number and area of glaciers on the northern slope of the Tianshan Mountains were 3253 and 1670.55 km, respectively. In 1990, the number and area of glaciers on the northern slope of the Tianshan Mountains were 3270 and 2003.19 km, respectively.
This data is obtained based on Landsat TM/OLI and Sentinel-2A/2B MSI remote sensing images.
The optimal segmentation threshold is determined using the band ratio method (red light band/short wave infrared band, R/SWIR) and manual interaction method. The binary image segmented by the threshold is processed by median filtering and combined with morphological opening and closing operation method to convert it into a vector polygon. Then, Google Earth and glacier cataloging data are used for manual visual revision and data quality inspection of glacier vector boundaries.
Good data quality
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CSTR:11738.11.NCDC.XJKK.DB6569.2024
10.12072/ncdc.xjkk.db6569.2024