{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T18:42:40Z","timestamp":1775760160520,"version":"3.50.1"},"reference-count":48,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2017,1,27]],"date-time":"2017-01-27T00:00:00Z","timestamp":1485475200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/rs9020110","type":"journal-article","created":{"date-parts":[[2017,1,27]],"date-time":"2017-01-27T11:23:02Z","timestamp":1485516182000},"page":"110","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":100,"title":["Cross-Comparison of Albedo Products for Glacier Surfaces Derived from Airborne and Satellite (Sentinel-2 and Landsat 8) Optical Data"],"prefix":"10.3390","volume":"9","author":[{"given":"Kathrin","family":"Naegeli","sequence":"first","affiliation":[{"name":"Department of Geosciences, University of Fribourg, 1700 Fribourg, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexander","family":"Damm","sequence":"additional","affiliation":[{"name":"Remote Sensing Laboratories, University of Zurich, 8057 Zurich, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthias","family":"Huss","sequence":"additional","affiliation":[{"name":"Department of Geosciences, University of Fribourg, 1700 Fribourg, Switzerland"},{"name":"Laboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zurich, 8093 Zurich, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6161-428X","authenticated-orcid":false,"given":"Hendrik","family":"Wulf","sequence":"additional","affiliation":[{"name":"Remote Sensing Laboratories, University of Zurich, 8057 Zurich, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9627-9565","authenticated-orcid":false,"given":"Michael","family":"Schaepman","sequence":"additional","affiliation":[{"name":"Remote Sensing Laboratories, University of Zurich, 8057 Zurich, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martin","family":"Hoelzle","sequence":"additional","affiliation":[{"name":"Department of Geosciences, University of Fribourg, 1700 Fribourg, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,1,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"477","DOI":"10.5194\/tc-10-477-2016","article-title":"The darkening of the Greenland ice sheet: Trends, drivers, and projections (1981\u20132100)","volume":"10","author":"Tedesco","year":"2016","journal-title":"Cryosphere"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"341","DOI":"10.5194\/tc-9-341-2015","article-title":"Seasonal changes in surface albedo of Himalayan glaciers from MODIS data and links with the annual mass balance","volume":"9","author":"Brun","year":"2015","journal-title":"Cryosphere"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2293","DOI":"10.5194\/tc-8-2293-2014","article-title":"Assessing spatio-temporal variability and trends in modelled and measured Greenland Ice Sheet albedo (2000\u20132013)","volume":"8","author":"Alexander","year":"2014","journal-title":"Cryosphere"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"821","DOI":"10.5194\/tc-6-821-2012","article-title":"Greenland ice sheet albedo feedback: Thermodynamics and atmospheric drivers","volume":"6","author":"Box","year":"2012","journal-title":"Cryosphere"},{"key":"ref_5","unstructured":"Cuffey, K.M., and Paterson, W.S.B. 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