Identification method of moraine-covered glaciers based on optical and thermal infrared remote sensing images

Abstract

The invention relates to a moraine-covered glacier identification method based on optical and thermal infrared remote sensing images, and belongs to the field of remote sensing geoscience applications. This method uses the optical band and thermal infrared band of Landsat TM / ETM+ remote sensing images, combined with DEM and other data to identify moraine-covered glaciers. First, the optical band of TM / ETM+ images is corrected for atmospheric radiation and terrain radiation. In the infrared band, the surface temperature is retrieved and normalized, and then the illuminated area and the shadow area are distinguished; finally, the maximum likelihood method is used to classify the illuminated area and the shadow area of ​​the image respectively, and the ice, surface moraine-covered glaciers, and glacier areas are obtained. Mixed with cuttings, shadows, rocks and other categories. Compared with the traditional method, the present invention introduces the thermal infrared band, which makes the identification of moraine-covered glaciers more accurate and efficient, and the result obtained by the method proposed by the present invention is more reasonable in terms of data spatial resolution resampling.

Description

technical field [0001] The invention relates to a moraine-covered glacier identification method based on optical and thermal infrared remote sensing images, and belongs to the technical field of remote sensing geoscience applications. Background technique [0002] Glacier resources are important freshwater resources on the earth, accounting for about 75% of the total freshwater resources, and glaciers are an important indicator of global climate change. Using remote sensing methods to identify glaciers is of great significance for understanding glacier resources and analyzing global climate change. However, the traditional remote sensing identification methods in optical bands such as ice and snow index can only identify relatively clean glaciers, and it is difficult to identify surface moraine-covered glaciers in optical bands. The surface of moraine-covered glaciers is covered by a layer of debris, which is similar to the spectral information of the exposed rocks around th...

AI Technical Summary

Problems solved by technology

However, the traditional remote sensing identification methods of optical bands such as ice and snow index can only identify relatively clean glaciers, and it is difficult to identify moraine-covered glaciers in optical bands.

The surface of moraine-covered glaciers is covered by a layer of debris, which is similar to the spectral information of the exposed rocks around the glacier in the optical band range, and it is not easy to distinguish

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