Monitoring Freezing and Thawing of Shallow Lakes in Northern Alaska Using Sentinel-1 Data

Wakabayashi, Hiroyuki; Motohashi, Kazushige

doi:10.1109/igarss.2018.8519086

Cited by 3 publications

(3 citation statements)

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“…Da Rosa et al ( 2020) obtained σ° values greater than -14 dB for frozen water (between -14 and -17 dB for the surface, with up to 60% of their frozen area). The average value found for lake ice and snow cover (-11.7 dB) in the S-1 image is in agreement with Wakabayashi & Motohashi (2018) and . Wakabayashi & Motohashi (2018) investigated the ice condition of shallow lakes in the Arctic region using the SAR data acquired by Sentinel-1 from 2015 to 2018 and confirmed that the C-band SAR data from Sentinel-1 could monitor the ice surface condition of shallow lakes.…”

Section: Discussionsupporting

confidence: 86%

“…The average value found for lake ice and snow cover (-11.7 dB) in the S-1 image is in agreement with Wakabayashi & Motohashi (2018) and . Wakabayashi & Motohashi (2018) investigated the ice condition of shallow lakes in the Arctic region using the SAR data acquired by Sentinel-1 from 2015 to 2018 and confirmed that the C-band SAR data from Sentinel-1 could monitor the ice surface condition of shallow lakes. The authors to affirm that the backscattering threshold between floating and grounded ice was -14.8 to -16.8 dB depending on the incidence angle.…”

Section: Discussionsupporting

confidence: 86%

“…Recently, some investigators have demonstrated the potential of Sentinel-1 synthetic aperture radar (SAR) data for monitoring lake ice cover in Canada (Extra Wide (EW) mode, and HH polarization) (Duguay et al, 2015), in shallow lakes in northern Alaska (EW, and HH polarization) (Wakabayashi & Motohashi, 2018), in Fildes Peninsula, Maritime Antarctica foreland (Interferometric Wide mode, and HH polarization) (da Rosa et al, 2020). Moreover, in Antarctica, Dirscherl et al (2021) devised the first automated method for mapping the extent of supraglacial lakes using S-1 imagery.…”

Section: Introductionmentioning

confidence: 99%

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Fenología del hielo lacustre: una comparación entre imágenes TSX y Sentinel-1 usando análisis de datos de campo en una región marítima de la Antártida

et al. 2022

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El monitoreo a lo largo del tiempo de la dinámica fenológica de congelamiento de las superficies de los lagos en áreas libres de hielo es relevante para comprender los impactos del calentamiento mundial y los eventos climáticos extremos en las regiones polares. Los objetivos de este trabajo son: (I) establecer valores de retrodispersión para los blancos agua superficial libre de hielo y recubierta por hielo en lagos –con el soporte de datos de campo– utilizando las imágenes TerraSar-X (TSX) y Sentinel 1A - EW (S-1), teniendo como estudio de caso la península Fildes, Antárctica Marítima; (II) evaluar la relación entre los datos de retrodispersión y los datos meteorológicos; (III) evaluar las potencialidades de TSX y de S-1para el mapeo de la fenología de los lagos. El procesamiento de las imágenes SAR fue realizado en el SNAP y los datos meteorológicos fueron obtenidos en la Base Eduardo Frei Montalva. Se obtuvo el umbral de retrodispersión de -32 dB a -21 dB para el agua libre de hielo en los lagos estudiados en la imagen TSX, y para la Sentinel-1 hubo una variación de -18 dB a -15 dB para el agua libre de hielo de los lagos. La imagen TSX es la más adecuada para el monitoreo de la fenología de los lagos por su resolución espacial, mientras la S-1 se limita a los lagos con más de 10.000 m2. Es necesario tener en cuenta las condiciones meteorológicas, especialmente el viento, las precipitaciones de nieve y los cambios de temperatura, que representan alteraciones significativas en los valores de retrodispersión. Se puede utilizar las recomendaciones metodológicas referentes al uso de las imágenes TSX y S-1 para el mapeo de la cobertura de hielo en los lagos y el monitoreo de los eventos de quiebra de hielo y de derretimiento de la superficie de lagos en ambientes glaciales y periglaciales.

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Section: Discussionsupporting

confidence: 86%

Section: Discussionsupporting

confidence: 86%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fenología del hielo lacustre: una comparación entre imágenes TSX y Sentinel-1 usando análisis de datos de campo en una región marítima de la Antártida

et al. 2022

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Freezing and thawing of lakes on the Nelson and King George Islands, Antarctic, using Sentinel 1A synthetic aperture radar images

Rosa

Bremer

Filho

et al. 2020

Environ Monit Assess

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Bedfast and floating-ice dynamics of thermokarst lakes using a temporal deep-learning mapping approach: case study of the Old Crow Flats, Yukon, Canada

Shaposhnikova¹,

Duguay²,

Roy-Léveillée³

2023

The Cryosphere

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Abstract. In light of the recent climate warming, monitoring of lake ice in Arctic and subarctic regions is becoming increasingly important. Many shallow Arctic lakes and ponds of thermokarst origin freeze to the bed in the winter months, maintaining the underlying permafrost in its frozen state. However, as air temperatures rise and precipitation increases, fewer lakes are expected to develop bedfast ice. In this work, we propose a novel temporal deep-learning approach to lake ice regime mapping from synthetic aperture radar (SAR) and employ it to study lake ice dynamics in the Old Crow Flats (OCF), Yukon, Canada, over the 1992/1993 to 2020/2021 period. We utilized a combination of Sentinel-1, ERS-1 and ERS-2, and RADARSAT-1 to create an extensive annotated dataset of SAR time series labeled as either bedfast ice, floating ice, or land, which was used to train a temporal convolutional neural network (TempCNN). The trained TempCNN, in turn, allowed us to automatically map lake ice regimes. The classified maps aligned well with the available field measurements and ice thickness simulations obtained with a thermodynamic lake ice model. Reaching a mean overall classification accuracy of 95 %, the TempCNN was determined to be suitable for automated lake ice regime classification. The fraction of bedfast ice in the OCF increased by 11 % over the 29-year period of analysis. Findings suggest that the OCF lake ice dynamics are dominated by lake drainage events, brought on by thermokarst processes accelerated by climate warming, and fluctuations in water level and winter snowfall. Catastrophic drainage and lowered water levels cause surface water area and lake depth to decrease and lake ice to often transition from floating to bedfast ice, while a reduction in snowfall allows for the growth of thicker ice. The proposed lake ice regime mapping approach allowed us to assess the combined impacts of warming, drainage, and changing precipitation patterns on transitions between bedfast and floating-ice regimes, which is crucial to understanding evolving permafrost dynamics beneath shallow lakes and drained basins in thermokarst lowlands such as the OCF.

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Monitoring Freezing and Thawing of Shallow Lakes in Northern Alaska Using Sentinel-1 Data

Cited by 3 publications

References 4 publications

Fenología del hielo lacustre: una comparación entre imágenes TSX y Sentinel-1 usando análisis de datos de campo en una región marítima de la Antártida

Fenología del hielo lacustre: una comparación entre imágenes TSX y Sentinel-1 usando análisis de datos de campo en una región marítima de la Antártida

Freezing and thawing of lakes on the Nelson and King George Islands, Antarctic, using Sentinel 1A synthetic aperture radar images

Bedfast and floating-ice dynamics of thermokarst lakes using a temporal deep-learning mapping approach: case study of the Old Crow Flats, Yukon, Canada

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