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Enhancing and segmenting a remote sensing image of a glacier body

Abstract
Publication Date:
2015
abstract:
Glaciers' changes are an important indicator of global warming, and the interpretation of satellite images offers a good source of information for such a monitoring. It is important to select areas of interest for the detection of glaciers bodies and in particular to capture also the part covered with debris, which is an open issue in remote sensing of the glaciers. We use enhancing features with a physical meaning and we provide a coarse segmentation of the image of the Lys glacier belonging to the Monte Rosa district in the Alps. The image data correspond to electromagnetic sensing of sunlight as reflected in band of the visible red spectral range, TM3, and in two infrared bands TM4 and TM5, as operated from the Thematic Mapper (TM) sensor aboard the Landsat satellite in clear sunny days.
Iris type:
04.02 Abstract in Atti di convegno
Keywords:
Glacier body; Thematic Mapper Sensor; Unsupervised Segmentation; Binary Tree
List of contributors:
Pepe, MONICA PIERA LIVIA; Lenarduzzi, Licia
Authors of the University:
PEPE MONICA PIERA LIVIA
Handle:
https://iris.cnr.it/handle/20.500.14243/298011
Book title:
Proceedings of the 6-th International Conference on Approximation Methods and Numerical Modelling in Environment and Natural Resources
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