A Hybrid Compact Polarimetry GNSS-R Analysis of the Earth’s Cryosphere

Rodriguez-Alvarez, Nereida; Muñoz-Martín, Joan Francesc; Bosch-Lluis, X.; Oudrhiri, Kamal

doi:10.1109/tgrs.2023.3280363

Cited by 3 publications

(1 citation statement)

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“…To further assess the ability of GNSS-R for monitoring lake ice phenology, follow-up studies are planned on lakes located at higher latitudes than Qinghai Lake where GNSS-R systems are able to receive reflections. This will be possible with data acquired from recent and future spaceborne GNSS-R systems with polar orbits, e.g., HydroGNSS and Soil Moisture Active Passive Reflectometry (SMAP-R) missions ( [81], [82], [83]). In addition, the analysis of data acquired along single tracks and within single footprints coincident with field measurement campaigns will further improve our understanding of the impact of lake ice conditions on reflected GNSS signals.…”

Section: Discussionmentioning

confidence: 99%

Potential of GNSS-R for the Monitoring of Lake Ice Phenology

Ghiasi,

Duguay,

Murfitt

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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This study introduces the first use of Global Navigation Satellite System Reflectometry (GNSS-R) for monitoring lake ice phenology. This is demonstrated using Qinghai Lake, Tibetan Plateau, as a case study. Signal-to-Noise Ratio (SNR) values obtained from the Cyclone GNSS (CYGNSS) constellation over four ice seasons (2018 to 2022) were used to examine the impact of lake surface conditions on reflected GNSS signals during open water and ice cover seasons. A moving t-test algorithm was applied to time-varying SNR values allowing for the detection of lake ice at daily temporal resolution. Good agreement was achieved between ice phenology records derived from CYGNSS data and Moderate Resolution Imaging Spectroradiometer (MODIS) imagery. The CYGNSS timings for freeze-up, i.e., the period starting with the first appearance of ice on the lake (freeze-up start; FUS) until the lake becomes fully ice covered (freeze-up end; FUE), as well as those for breakup, i.e., the period beginning with the first pixel of open water (breakup start; BUS) and ending when the whole lake becomes ice-free (breakup end; BUE), were validated against the phenology dates derived from MODIS images. Mean absolute errors are 7, 5, 10, 4 and 5 days for FUS, FUE, BUS, BUE and ice cover duration, respectively. Observations revealed the sensitivity of GNSS reflected signals to surface melt prior to the appearance of open water conditions as determined from MODIS, which explains the larger difference of 10 days for BUS.

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Section: Discussionmentioning

confidence: 99%