TY - GEN
T1 - STUDYING FROZEN GROUND DYNAMICS BY USING GNSS INTERFEROMETRIC REFLECTOMETRY
T2 - 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
AU - Zhang, Jiahua
AU - Liu, Lin
N1 - Publisher Copyright:
© 2021 IEEE
PY - 2021
Y1 - 2021
N2 - Permafrost has been warming and thawing in the last decades in response to global warming. Monitoring the changes of the active layer and near-surface permafrost is crucial for revealing their dynamics. GNSS interferometric reflectometry (GNSS-IR) is a relatively new technique for studying frozen ground dynamics. In this paper, we summarized the major achievements in applying GNSS-IR to the signal-to-noise ratio data recorded by the continuous GNSS sites in permafrost areas in the Arctic and Qinghai-Tibet Plateau. We identified 23 sites in the Arctic permafrost regions which are suitable for GNSS-IR studies. We used the GNSS-IR-retrieved surface elevation changes to investigate the multi-year, interannual, and seasonal changes of the frozen ground. We improved the commonly-used GNSS-IR algorithm for estimating soil moisture in permafrost areas by mitigating the bias introduced by seasonal surface deformation. We also analogized GNSS-IR to InSAR, and advocated for a synergy between their observations to obtain improved, quantitative, and insightful measurements of the ever-warming frozen ground.
AB - Permafrost has been warming and thawing in the last decades in response to global warming. Monitoring the changes of the active layer and near-surface permafrost is crucial for revealing their dynamics. GNSS interferometric reflectometry (GNSS-IR) is a relatively new technique for studying frozen ground dynamics. In this paper, we summarized the major achievements in applying GNSS-IR to the signal-to-noise ratio data recorded by the continuous GNSS sites in permafrost areas in the Arctic and Qinghai-Tibet Plateau. We identified 23 sites in the Arctic permafrost regions which are suitable for GNSS-IR studies. We used the GNSS-IR-retrieved surface elevation changes to investigate the multi-year, interannual, and seasonal changes of the frozen ground. We improved the commonly-used GNSS-IR algorithm for estimating soil moisture in permafrost areas by mitigating the bias introduced by seasonal surface deformation. We also analogized GNSS-IR to InSAR, and advocated for a synergy between their observations to obtain improved, quantitative, and insightful measurements of the ever-warming frozen ground.
KW - GNSS
KW - GNSS interferometric reflectometry
KW - permafrost
KW - surface elevation change
KW - synthetic aperture radar
UR - https://www.scopus.com/pages/publications/85129827587
U2 - 10.1109/IGARSS47720.2021.9554065
DO - 10.1109/IGARSS47720.2021.9554065
M3 - Conference contribution
AN - SCOPUS:85129827587
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 1448
EP - 1451
BT - IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 July 2021 through 16 July 2021
ER -