Plateau mountain shadow area glacier identification method

Abstract

The invention discloses a plateau mountain shadow area glacier identification method, which comprises the following steps: obtaining a Landsat 8OLI plateau mountainous region image, carrying out radiation calibration pretreatment on the Landsat 8OLI plateau mountainous region image, and carrying out atmospheric correction on the calibrated image by using a FLASH model; based on DEM data and solarazimuth and elevation angle information during remote sensing imaging, simulating a corresponding shadow area by using geographic information system software, and performing shadow area identification; according to waveband reflection characteristics of glacier and non-glacier in the shadow area, determining that the blue light waveband is a shadow area glacier information identification dominantwaveband; identifying a dominant band by using glacier information in a shadow area, calculating by using an enhanced identification method to obtain an ENDSI gray scale map, selecting an appropriatethreshold according to a calculation result histogram, and segmenting the ENDSI gray scale map to obtain glacier information in the shadow area. And a dominant wave band enhanced snow cover index method is adopted, so that the glacier identification working efficiency of the overall plateau mountainous region shadow region can be improved.

Description

technical field [0001] The invention belongs to the technical field of image recognition, in particular to a method for identifying glaciers in plateau mountain shadow areas based on Landsat 8 OLI images. Background technique [0002] Glacier change is a product of climate change, and it is also a sensitive indicator of global climate change, especially plateau mountain glaciers in mid-latitude regions are extremely sensitive to climate change, and their changes have significant impact on regional climate, ecology and environment, hydrology and water resources have an important impact. Therefore, the change of mountain glaciers has always been a hot spot in geoscience research. Regardless of the response of glaciers to climate change or the impact on regional water resources, the extraction and change monitoring of mountain glaciers are the most important issues. [0003] Mountain glaciers are usually located in remote locations with complex terrain, and the cost of on-sit...

AI Technical Summary

Problems solved by technology

Many research results show that supervised and unsupervised classification methods cannot effectively identify glaciers under the shadow, and the NDSI index (Normalized Difference Snow Cover Index) is also poor; compared with NDSI, the identification performance of the band ratio method for glaciers in the shadow area is still poor. Yes, but there are different conclusions about which bands are better

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