Remote sensing of the mountain cryosphere:Current capabilities and future opportunities for research

Taylor, Liam S. and Quincey, Duncan J. and Smith, Mark W. and Baumhoer, Celia A. and McMillan, Mal and Mansell, Damien T. (2021) Remote sensing of the mountain cryosphere:Current capabilities and future opportunities for research. Progress in Physical Geography, 45 (6). pp. 931-964. ISSN 0309-1333

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Abstract

Remote sensing technologies are integral to monitoring the mountain cryosphere in a warming world. Satellite missions and field-based platforms have transformed understanding of the processes driving changes in mountain glacier dynamics, snow cover, lake evolution, and the associated emergence of hazards (e.g. avalanches, floods, landslides). Sensors and platforms are becoming more bespoke, with innovation being driven by the commercial sector, and image repositories are more frequently open access, leading to the democratisation of data analysis and interpretation. Cloud computing, artificial intelligence, and machine learning are rapidly transforming our ability to handle this exponential increase in data. This review therefore provides a timely opportunity to synthesise current capabilities in remote sensing of the mountain cryosphere. Scientific and commercial applications were critically examined, recognising the technologies that have most advanced the discipline. Low-cost sensors can also be deployed in the field, using microprocessors and telecommunications equipment to connect mountain glaciers to stakeholders for real-time monitoring. The potential for novel automated pipelines that can process vast volumes of data is also discussed, from reimagining historical aerial imagery to produce elevation models, to automatically delineating glacier boundaries. Finally, the applications of these emerging techniques that will benefit scientific research avenues and real-world societal programmes are discussed.

Item Type:
Journal Article
Journal or Publication Title:
Progress in Physical Geography
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/3300/3305
Subjects:
?? EARTH OBSERVATIONGLACIERSATELLITETECHNOLOGYSNOWARTIFICIAL INTELLIGENCEEARTH AND PLANETARY SCIENCES (MISCELLANEOUS)EARTH AND PLANETARY SCIENCES(ALL)GEOGRAPHY, PLANNING AND DEVELOPMENT ??
ID Code:
159966
Deposited By:
Deposited On:
22 Sep 2021 15:40
Refereed?:
Yes
Published?:
Published
Last Modified:
17 Sep 2023 03:07