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Glaciers, in the current context of a latent climate emergency, are a sensitive element that unequivocally expresses the effects of climate change. In Chile, glaciers
are widely distributed in the Andes Mountains throughout the whole country. Chile concentrates the largest glacier surface area in South America (80.5% of the
total surface covered by glaciers in South America). From north to south, glaciers in Chile vary morphologically as a result of the rugged national geography
and its number and extent increase in the southernmost regions. In this contribution, we present with the help of case studies carried out in Chile during the last
years, how optical remote sensing techniques can provide a powerful tool to survey remote glacier areas, where conventional surveying techniques are difficult
to be applied. Different classification approaches were tested for their eligibility to identify these snow and ice types in the Tyndall glacier area in the Southern
Patagonian icefield. As no labeled data was available for the investigated remote area, a novel method was tested to obtain labeled Sentinel-2 compliant data
from theoretical spectral reflectance curves. The achieved classification results show that all examined classification approaches are suitable for detecting different
spectral snow and ice classes on the glacier surface. Furthermore, it is necessary to estimate the relationship between the changes in glacier surface and volume
and variations of climate parameters such as temperature and precipitation. The variations in volume and extend of five glaciers in the central Andes and three in
the Southern Patagonian Ice Field were determined and put in the context of regional climate change and variability. Based on remote sensing observations and
subsequent image processing, the results indicate that all glaciers show significant retreat in area and loss in volume. Furthermore, statistical analysis shows a
close relationship between glacier retreat and climate variations.
Biography
Guido Staub is with the Department for Geodetic Sciences and Geomatics Education of the University of Concepción in Chile. He holds a doctorate degree in Engineering from the Institute for Photogrammetry and Remote Sensing at the University of Karlsruhe, Germany His research and professional experience are related to lectures and scientific investigation in the broad field of Photogrammetry, Remote Sensing and digital image processing for environmental and climate change studies.
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