{"title":"Cast shadows reveal changes in glacier surface elevation","authors":"Monika Pfau, G. Veh, W. Schwanghart","doi":"10.5194/tc-17-3535-2023","DOIUrl":null,"url":null,"abstract":"Abstract. Increased rates of glacier retreat and thinning need\naccurate local estimates of glacier elevation change to predict future\nchanges in glacier runoff and their contribution to sea level rise. Glacier\nelevation change is typically derived from digital elevation models (DEMs)\ntied to surface change analysis from satellite imagery. Yet, the rugged\ntopography in mountain regions can cast shadows onto glacier surfaces,\nmaking it difficult to detect local glacier elevation changes in remote\nareas. A rather untapped resource comprises precise, time-stamped metadata on\nthe solar position and angle in satellite images. These data are useful for\nsimulating shadows from a given DEM. Accordingly, any differences in shadow\nlength between simulated and mapped shadows in satellite images could\nindicate a change in glacier elevation relative to the acquisition date of\nthe DEM. We tested this hypothesis at five selected glaciers with long-term\nmonitoring programmes. For each glacier, we projected cast shadows onto the\nglacier surface from freely available DEMs and compared simulated shadows to\ncast shadows mapped from ∼40 years of Landsat images. We\nvalidated the relative differences with geodetic measurements of glacier\nelevation change where these shadows occurred. We find that shadow-derived\nglacier elevation changes are consistent with independent photogrammetric\nand geodetic surveys in shaded areas. Accordingly, a shadow cast on Baltoro\nGlacier (the Karakoram, Pakistan) suggests no changes in elevation between 1987\nand 2020, while shadows on Great Aletsch Glacier (Switzerland) point to\nnegative thinning rates of about 1 m yr−1 in our sample. Our estimates\nof glacier elevation change are tied to occurrence of mountain shadows and\nmay help complement field campaigns in regions that are difficult to access.\nThis information can be vital to quantify possibly varying\nelevation-dependent changes in the accumulation or ablation zone of a given\nglacier. Shadow-based retrieval of glacier elevation changes hinges on the\nprecision of the DEM as the geometry of ridges and peaks constrains the\nshadow that we cast on the glacier surface. Future generations of DEMs with\nhigher resolution and accuracy will improve our method, enriching the\ntoolbox for tracking historical glacier mass balances from satellite and\naerial images.\n","PeriodicalId":56315,"journal":{"name":"Cryosphere","volume":" ","pages":""},"PeriodicalIF":4.4000,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cryosphere","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.5194/tc-17-3535-2023","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOGRAPHY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract. Increased rates of glacier retreat and thinning need
accurate local estimates of glacier elevation change to predict future
changes in glacier runoff and their contribution to sea level rise. Glacier
elevation change is typically derived from digital elevation models (DEMs)
tied to surface change analysis from satellite imagery. Yet, the rugged
topography in mountain regions can cast shadows onto glacier surfaces,
making it difficult to detect local glacier elevation changes in remote
areas. A rather untapped resource comprises precise, time-stamped metadata on
the solar position and angle in satellite images. These data are useful for
simulating shadows from a given DEM. Accordingly, any differences in shadow
length between simulated and mapped shadows in satellite images could
indicate a change in glacier elevation relative to the acquisition date of
the DEM. We tested this hypothesis at five selected glaciers with long-term
monitoring programmes. For each glacier, we projected cast shadows onto the
glacier surface from freely available DEMs and compared simulated shadows to
cast shadows mapped from ∼40 years of Landsat images. We
validated the relative differences with geodetic measurements of glacier
elevation change where these shadows occurred. We find that shadow-derived
glacier elevation changes are consistent with independent photogrammetric
and geodetic surveys in shaded areas. Accordingly, a shadow cast on Baltoro
Glacier (the Karakoram, Pakistan) suggests no changes in elevation between 1987
and 2020, while shadows on Great Aletsch Glacier (Switzerland) point to
negative thinning rates of about 1 m yr−1 in our sample. Our estimates
of glacier elevation change are tied to occurrence of mountain shadows and
may help complement field campaigns in regions that are difficult to access.
This information can be vital to quantify possibly varying
elevation-dependent changes in the accumulation or ablation zone of a given
glacier. Shadow-based retrieval of glacier elevation changes hinges on the
precision of the DEM as the geometry of ridges and peaks constrains the
shadow that we cast on the glacier surface. Future generations of DEMs with
higher resolution and accuracy will improve our method, enriching the
toolbox for tracking historical glacier mass balances from satellite and
aerial images.
期刊介绍:
The Cryosphere (TC) is a not-for-profit international scientific journal dedicated to the publication and discussion of research articles, short communications, and review papers on all aspects of frozen water and ground on Earth and on other planetary bodies.
The main subject areas are the following:
ice sheets and glaciers;
planetary ice bodies;
permafrost and seasonally frozen ground;
seasonal snow cover;
sea ice;
river and lake ice;
remote sensing, numerical modelling, in situ and laboratory studies of the above and including studies of the interaction of the cryosphere with the rest of the climate system.