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Cross-Comparison of Albedo Products for Glacier Surfaces Derived from Airborne and Satellite (Sentinel-2 and Landsat 8) Optical Data

Authors :
Kathrin Naegeli
Matthias Huss
Martin Hoelzle
Alexander Damm
Hendrik Wulf
Michael E. Schaepman
University of Zurich
Naegeli, Kathrin
Source :
Remote Sensing, 9 (2), Remote Sensing, Vol 9, Iss 2, p 110 (2017), Remote Sensing; Volume 9; Issue 2; Pages: 110
Publication Year :
2017
Publisher :
MDPI, 2017.

Abstract

Surface albedo partitions the amount of energy received by glacier surfaces from shortwave fluxes and modulates the energy available for melt processes. The ice-albedo feedback, influenced by the contamination of bare-ice surfaces with light-absorbing impurities, plays a major role in the melting of mountain glaciers in a warming climate. However, little is known about the spatial and temporal distribution and variability of bare-ice glacier surface albedo under changing conditions. In this study, we focus on two mountain glaciers located in the western Swiss Alps and perform a cross-comparison of different albedo products. We take advantage of high spectral and spatial resolution (284 bands, 2 m) imaging spectrometer data from the Airborne Prism Experiment (APEX) and investigate the applicability and potential of Sentinel-2 and Landsat 8 data to derive broadband albedo products. The performance of shortwave broadband albedo retrievals is tested and we assess the reliability of published narrow-to-broadband conversion algorithms. The resulting albedo products from the three sensors and different algorithms are further cross-compared. Moreover, the impact of the anisotropy correction is analysed depending on different surface types. While degradation of the spectral resolution impacted glacier-wide mean albedo by about 5%, reducing the spatial resolution resulted in changes of less than 1%. However, in any case, coarser spatial resolution was no longer able to represent small-scale variability of albedo on glacier surfaces. We discuss the implications when using Sentinel-2 and Landsat 8 to map dynamic glaciological processes and to monitor glacier surface albedo on larger spatial and more frequent temporal scales.<br />Remote Sensing, 9 (2)<br />ISSN:2072-4292

Details

Language :
English
ISSN :
20724292
Database :
OpenAIRE
Journal :
Remote Sensing, 9 (2), Remote Sensing, Vol 9, Iss 2, p 110 (2017), Remote Sensing; Volume 9; Issue 2; Pages: 110
Accession number :
edsair.doi.dedup.....a69f7f8271334f77d07416305ca61c86