Mapping Glacial Lakes Using Historically Guided Segmentation Models
نویسندگان
چکیده
We compare several approaches to segmenting glacial lakes in the Hindu Kush Himalayas order support lake area mapping. More automatic mapping could risk assessments of Glacial Lake Outburst Floods (GLOF), a type natural hazard that poses communities and infrastructure valleys below lakes. propose evaluate incorporate labels from 2015 survey using Landsat 7 ETM+ SLC-off imagery guide segmentation on newer higher resolution satellite images like Sentinel 2 Bing Maps imagery, comparing them also do not use this form weak prior. find guided version U-Net properly initialized morphological snakes are most effective for these two datasets, respectively, each providing between an 8 - 10% Intersection-over-Union (IoU) improvement over existing approaches. An error analysis highlights strengths limitations method. design visualizations discovery potential concern, including interactive exploratory interface. All code supporting our study released public repositories.
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ژورنال
عنوان ژورنال: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
سال: 2022
ISSN: ['2151-1535', '1939-1404']
DOI: https://doi.org/10.1109/jstars.2022.3215722