Remote sensing of the global cryosphere: Status, processes, and trends

Guoqing Zhang*, Hongjie Xie, Alfonso Fernandez, Christophe Kinnard, Stef Lhermitte

*Corresponding author for this work

Research output: Contribution to journalEditorialScientificpeer-review

Abstract

Driven by rapid technological advances in cryospheric science and the emergence of new generations of remote sensing observations, this special issue of Remote Sensing of Environment, entitled “Remote sensing of the global cryosphere: status, processes, and trends”, brings together 23 studies published between 2023 and 2025. Collectively, these papers showcase how multi-sensor satellite observations, high-resolution digital elevation models (DEMs), and cutting-edge deep learning techniques are revolutionizing the monitoring of glaciers, snow, glacial lakes, permafrost, sea ice, and ice shelves across the Earth's three poles: the Arctic (including Greenland), Antarctica, and High Mountain Asia (the Third Pole). These studies integrate diverse datasets – including multisource DEMs, optical, thermal, and passive microwave imageries, as well as RADAR, LiDAR, and GRACE observations - to quantify glacier mass balance, map glacial lakes, assess permafrost thermal conditions, classify sea-ice types, and detect icebergs. We organize the publications by major cryospheric themes and their distribution across polar regions and summarize the dominant remote sensing datasets and methodologies employed. Finally, we outline future directions, emphasizing multi-sensor data fusion, physics-informed modeling, and AI-driven approaches to improve predictions of cryospheric change under a warming climate.

Original languageEnglish
Article number115220
Number of pages5
JournalRemote Sensing of Environment
DOIs
Publication statusPublished - 2025

Keywords

  • Glacial lake
  • Glacier
  • Ice sheet
  • Permafrost
  • Remote sensing
  • Sea ice
  • Snow

Fingerprint

Dive into the research topics of 'Remote sensing of the global cryosphere: Status, processes, and trends'. Together they form a unique fingerprint.

Cite this