This data set is composed of two sub datasets, including the distribution data sets of glaciers and ice lakes in permafrost areas and key areas of China-Pakistan Economic Corridor from 2013 to 2017. The spatial range of the study area is 34 ° – 42 ° n, 73 ° – 82 ° e, including the key watersheds of kelqing River, Hongzha River, Gaizi River and nubula river. The research area includes glacier, snow, water and other typical surface types in alpine mountain area. Glacier and ice lake are selected as the target feature categories for extraction. GCS is used for the feature types and scope in this data set_ WGS_ 1984 projection coordinates, including FID, shape type (shape), glims code (glims)_ ID), glacier name (GLC)_ Name, area, perimeter and class_ Name), x-coordinate, y-coordinate, etc. Based on the Landsat 8 oli remote sensing images from 2013 to 2017 as the data source, the classification and distribution data set of glaciers and ice lakes in key areas of China Pakistan Economic Corridor are completed by object-oriented classification method.
Landsat 8 OLI remote sensing images as the data source
Object-oriented classification method
The classification accuracy of the object-oriented classification method for glaciers and water bodies is high, which can meet the needs of users for automatic interpretation of Landsat remote sensing images. The overall classification accuracy is 0.9072165, and the kappa coefficient is 0.8088042, which is suitable for the classification of Landsat 8 remote sensing images.
CSTR:11738.11.ncdc.nieer.2020.1361
10.12072/casnw.056.2018.db
