Remote Sensing for Identification and Mapping of Thermokarst Landforms: A Review DOI Open Access
Ping Lü, Jiangping Han

Permafrost and Periglacial Processes, Journal Year: 2025, Volume and Issue: unknown

Published: March 20, 2025

ABSTRACT Permafrost is deeply involved in a series of geophysical processes, and it plays an important role the hydrology cycle, vegetation evolution, greenhouse gas emission. As one most sensitive indicators global climate warming, dynamic changes permafrost distribution its thermal state have been focus cryospheric change research. The highly developed remote sensing technology can provide abundant earth observation data over wide spatiotemporal range, has become powerful approach to detecting variations their related landforms. In this review, we summarize applications technologies identifying mapping typical thermokarst landforms that are closely degradation, namely, lakes, thaw slumps, bogs. We emphasize great potential using automated methods on high‐resolution optical images extraction multi‐temporal kinematic information from laser scanning interferometric synthetic aperture radar (InSAR). not only show usefulness identification landforms, but also point out several limitations future directions for further improvement.

Language: Английский

Soil property changes following a thaw-induced mass movement event in the permafrost region of the Qinghai–Tibetan Plateau DOI Creative Commons
Jiahui Yang,

Ruhan Zhang,

Xiaobin Li

et al.

CATENA, Journal Year: 2025, Volume and Issue: 252, P. 108850 - 108850

Published: March 1, 2025

Language: Английский

Citations

0

Remote Sensing for Identification and Mapping of Thermokarst Landforms: A Review DOI Open Access
Ping Lü, Jiangping Han

Permafrost and Periglacial Processes, Journal Year: 2025, Volume and Issue: unknown

Published: March 20, 2025

ABSTRACT Permafrost is deeply involved in a series of geophysical processes, and it plays an important role the hydrology cycle, vegetation evolution, greenhouse gas emission. As one most sensitive indicators global climate warming, dynamic changes permafrost distribution its thermal state have been focus cryospheric change research. The highly developed remote sensing technology can provide abundant earth observation data over wide spatiotemporal range, has become powerful approach to detecting variations their related landforms. In this review, we summarize applications technologies identifying mapping typical thermokarst landforms that are closely degradation, namely, lakes, thaw slumps, bogs. We emphasize great potential using automated methods on high‐resolution optical images extraction multi‐temporal kinematic information from laser scanning interferometric synthetic aperture radar (InSAR). not only show usefulness identification landforms, but also point out several limitations future directions for further improvement.

Language: Английский

Citations

0