Paper
26 October 2013 A object-oriented glacier mapping method based on multi-temporal Landsat images
Jun Li Li, An Ming Bao, Qi Ting Huang
Author Affiliations +
Proceedings Volume 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 89210W (2013) https://doi.org/10.1117/12.2031083
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China
Abstract
Automatic remotely sensed glacier mapping in high mountainous areas is restricted due to confusion of glacier and snow. Most of current methods map glacier boundaries with a single remote sensing image, but it is hard to find one snow-free one cloud-free image. The paper presents an object-oriented image segmentation to delineate the full glacier extents with multi-temporal Landsat images and digital elevation models (DEM). Landsat images with different acquisition dates are limited within one or two year, so as to map the glacier extents with minimum snow coverage. Topographic features derived from DEMs and different solar angles are also used to separate mountain shadows from glaciers, so the glaciers shaded by mountain shadows can also be identified. The method is tested with 6 Landsat images (2009-2010) and SRTM DEM data in Bogeda Mountain of Tienshan Mountain, Xinjiang ,China. It showed that the minimum glacier extents derived with the proposed method can accurately match the SPOT-5 glacier map, and the geometric accuracy is less than 30 meters. Results are satisfying for annual glacier mapping for glacier change detection studies.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jun Li Li, An Ming Bao, and Qi Ting Huang "A object-oriented glacier mapping method based on multi-temporal Landsat images", Proc. SPIE 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 89210W (26 October 2013); https://doi.org/10.1117/12.2031083
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Earth observing sensors

Landsat

Image segmentation

Remote sensing

Satellites

Short wave infrared radiation

Associative arrays

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