Superglacial moraine covering type glacier identification method based on optical and thermal infrared remote sensing images

Abstract

The invention relates to a superglacial moraine covering type glacier identification method based on optical and thermal infrared remote sensing images, and belongs to the field of remote sensing geoscience application. According to the method, the thermal infrared wave band and the optical wave band of Landsat TM / ETM and remote sensing images are utilized, the data of a DEM (dynamic effect model) and the like is combined for carrying out identification on the superglacial moraine covering type glacier, firstly, the topical wave band of the TM / ETM images is subjected to atmosphere radiation correction and topography radiation correction, the thermal infrared wave band is used for carrying out ground surface temperature inversion, in addition, the normalization is carried out, then, the illumination region and the shade region are distinguished, and finally, a maximum likelihood method is utilized for respectively classifying the illumination region and the shade region of the images to obtain the types of ice, superglacial moraine covering type glacier, ice and rock debris mixed regions, shade, rock and the like. Compared with a traditional method, the superglacial moraine covering type glacier identification has the advantages that the thermal infrared waveband is introduced, the identification on the superglacial moraine covering type glacier is more accurate and efficient, and the results obtained by adopting the method provided by the invention are more reasonable in the aspect of data space resolution ratio 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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