Articles | Volume 17, issue 9
https://doi.org/10.5194/tc-17-4155-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-4155-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Brief communication
| 
25 Sep 2023
Brief communication |
| 25 Sep 2023
| 25 Sep 2023
Brief communication: Identification of tundra topsoil frozen/thawed state from SMAP and GCOM-W1 radiometer measurements using the spectral gradient method
Konstantin Muzalevskiy
CORRESPONDING AUTHOR
Laboratory of Radiophysics of Remote Sensing, Kirensky Institute of
Physics, Federal Research Center, Krasnoyarsk Science Center of the Siberian
Branch of the Russian Academy of Sciences, Krasnoyarsk, Russia
Zdenek Ruzicka
Laboratory of Radiophysics of Remote Sensing, Kirensky Institute of
Physics, Federal Research Center, Krasnoyarsk Science Center of the Siberian
Branch of the Russian Academy of Sciences, Krasnoyarsk, Russia
Alexandre Roy
Département des Sciences de l'Environnement, Université du
Québec à Trois-Rivières (UQTR), Trois-Rivières, Centre
d'étude Nordique, Québec, Canada
Michael Loranty
Department of Geography, Colgate University, Hamilton, NY, USA
Alexander Vasiliev
Laboratory for Cartographic Modeling and Forecasting the State of
Permafrost Geosystems, Earth Cryosphere Institute, Tyumen Scientific Centre,
Siberian
Branch of the Russian Academy of Sciences, Tyumen, Russia
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Peter Toose, Alexandre Roy, Frederick Solheim, Chris Derksen, Tom Watts, Alain Royer, and Anne Walker
Geosci. Instrum. Method. Data Syst., 6, 39–51, https://doi.org/10.5194/gi-6-39-2017, https://doi.org/10.5194/gi-6-39-2017, 2017
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Radio-frequency interference (RFI) can significantly contaminate the measured radiometric signal of current spaceborne L-band passive microwave radiometers used for monitoring essential climate variables. A 385-channel hyperspectral L-band radiometer system was designed with the means to quantify the strength and type of RFI. The compact design makes it ideal for mounting on both surface and airborne platforms to be used for calibrating and validating measurement from spaceborne sensors.
Alexandre Roy, Alain Royer, Olivier St-Jean-Rondeau, Benoit Montpetit, Ghislain Picard, Alex Mavrovic, Nicolas Marchand, and Alexandre Langlois
The Cryosphere, 10, 623–638, https://doi.org/10.5194/tc-10-623-2016, https://doi.org/10.5194/tc-10-623-2016, 2016
A. Roy, A. Royer, B. Montpetit, P. A. Bartlett, and A. Langlois
The Cryosphere, 7, 961–975, https://doi.org/10.5194/tc-7-961-2013, https://doi.org/10.5194/tc-7-961-2013, 2013
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Philipp Bernhard, Simon Zwieback, Nora Bergner, and Irena Hajnsek
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We present an investigation of retrogressive thaw slumps in 10 study sites across the Arctic. These slumps have major impacts on hydrology and ecosystems and can also reinforce climate change by the mobilization of carbon. Using time series of digital elevation models, we found that thaw slump change rates follow a specific type of distribution that is known from landslides in more temperate landscapes and that the 2D area change is strongly related to the 3D volumetric change.
Simon Zwieback and Franz J. Meyer
The Cryosphere, 15, 2041–2055, https://doi.org/10.5194/tc-15-2041-2021, https://doi.org/10.5194/tc-15-2041-2021, 2021
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Thawing of ice-rich permafrost leads to subsidence and slumping, which can compromise Arctic infrastructure. However, we lack fine-scale maps of permafrost ground ice, chiefly because it is usually invisible at the surface. We show that subsidence at the end of summer serves as a
fingerprintwith which near-surface permafrost ground ice can be identified. As this can be done with satellite data, this method may help improve ground ice maps and thus sustainably steward the Arctic.
Andreas Kääb, Tazio Strozzi, Tobias Bolch, Rafael Caduff, Håkon Trefall, Markus Stoffel, and Alexander Kokarev
The Cryosphere, 15, 927–949, https://doi.org/10.5194/tc-15-927-2021, https://doi.org/10.5194/tc-15-927-2021, 2021
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We present a map of rock glacier motion over parts of the northern Tien Shan and time series of surface speed for six of them over almost 70 years.
This is by far the most detailed investigation of this kind available for central Asia.
We detect a 2- to 4-fold increase in rock glacier motion between the 1950s and present, which we attribute to atmospheric warming.
Relative to the shrinking glaciers in the region, this implies increased importance of periglacial sediment transport.
Ingmar Nitze, Sarah W. Cooley, Claude R. Duguay, Benjamin M. Jones, and Guido Grosse
The Cryosphere, 14, 4279–4297, https://doi.org/10.5194/tc-14-4279-2020, https://doi.org/10.5194/tc-14-4279-2020, 2020
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In summer 2018, northwestern Alaska was affected by widespread lake drainage which strongly exceeded previous observations. We analyzed the spatial and temporal patterns with remote sensing observations, weather data and lake-ice simulations. The preceding fall and winter season was the second warmest and wettest on record, causing the destabilization of permafrost and elevated water levels which likely led to widespread and rapid lake drainage during or right after ice breakup.
Jiahua Zhang, Lin Liu, and Yufeng Hu
The Cryosphere, 14, 1875–1888, https://doi.org/10.5194/tc-14-1875-2020, https://doi.org/10.5194/tc-14-1875-2020, 2020
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Ground surface in permafrost areas undergoes uplift and subsides seasonally due to freezing–thawing active layer. Surface elevation change serves as an indicator of frozen-ground dynamics. In this study, we identify 12 GPS stations across the Canadian Arctic, which are useful for measuring elevation changes by using reflected GPS signals. Measurements span from several years to over a decade and at daily intervals and help to reveal frozen ground dynamics at various temporal and spatial scales.
Eike Reinosch, Johannes Buckel, Jie Dong, Markus Gerke, Jussi Baade, and Björn Riedel
The Cryosphere, 14, 1633–1650, https://doi.org/10.5194/tc-14-1633-2020, https://doi.org/10.5194/tc-14-1633-2020, 2020
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In this research we present the results of our satellite analysis of a permafrost landscape and periglacial landforms in mountainous regions on the Tibetan Plateau. We study seasonal and multiannual surface displacement processes, such as the freezing and thawing of the ground, seasonally accelerated sliding on steep slopes, and continuous permafrost creep. This study is the first step of our goal to create an inventory of actively moving landforms within the Nyainqêntanglha range.
Andrew M. Cunliffe, George Tanski, Boris Radosavljevic, William F. Palmer, Torsten Sachs, Hugues Lantuit, Jeffrey T. Kerby, and Isla H. Myers-Smith
The Cryosphere, 13, 1513–1528, https://doi.org/10.5194/tc-13-1513-2019, https://doi.org/10.5194/tc-13-1513-2019, 2019
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Episodic changes of permafrost coastlines are poorly understood in the Arctic. By using drones, satellite images, and historic photos we surveyed a permafrost coastline on Qikiqtaruk – Herschel Island. We observed short-term coastline retreat of 14.5 m per year (2016–2017), exceeding long-term average rates of 2.2 m per year (1952–2017). Our study highlights the value of these tools to assess understudied episodic changes of eroding permafrost coastlines in the context of a warming Arctic.
Charles J. Abolt, Michael H. Young, Adam L. Atchley, and Cathy J. Wilson
The Cryosphere, 13, 237–245, https://doi.org/10.5194/tc-13-237-2019, https://doi.org/10.5194/tc-13-237-2019, 2019
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We present a workflow that uses a machine-learning algorithm known as a convolutional neural network (CNN) to rapidly delineate ice wedge polygons in high-resolution topographic datasets. Our workflow permits thorough assessments of polygonal microtopography at the kilometer scale or greater, which can improve understanding of landscape hydrology and carbon budgets. We demonstrate that a single CNN can be trained to delineate polygons with high accuracy in diverse tundra settings.
Yonghong Yi, John S. Kimball, Richard H. Chen, Mahta Moghaddam, and Charles E. Miller
The Cryosphere, 13, 197–218, https://doi.org/10.5194/tc-13-197-2019, https://doi.org/10.5194/tc-13-197-2019, 2019
Short summary
Short summary
To better understand active-layer freezing process and its climate sensitivity, we developed a new 1 km snow data set for permafrost modeling and used the model simulations with multiple new in situ and P-band radar data sets to characterize the soil freeze onset and duration of zero curtain in Arctic Alaska. Results show that zero curtains of upper soils are primarily affected by early snow cover accumulation, while zero curtains of deeper soils are more closely related to maximum thaw depth.
Claire Bernard-Grand'Maison and Wayne Pollard
The Cryosphere, 12, 3589–3604, https://doi.org/10.5194/tc-12-3589-2018, https://doi.org/10.5194/tc-12-3589-2018, 2018
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This study provides a first approximation of the volume of ice in ice wedges, a ground-ice feature in permafrost for a High Arctic polar desert region. We demonstrate that Geographical Information System analyses can be used on satellite images to estimate ice wedge volume. We estimate that 3.81 % of the top 5.9 m of permafrost could be ice-wedge ice on the Fosheim Peninsula. In response to climate change, melting ice wedges will result in widespread terrain disturbance in this region.
Cited articles
Chang, A. T. C. and Shiue, J. C.: A comparative study of microwave radiometer observations over snowfields with radiative transfer model calculations, Remote Sens. Environ., 10, 215–229, https://doi.org/10.1016/0034-4257(80)90025-5, 1980.
Chaubell, J., Chan, S., Dunbar, R. S., Peng, J., and Yueh, S.: SMAP Enhanced L1C Radiometer Half-Orbit 9 km EASE-Grid Brightness Temperatures, Version 3, Boulder, Colorado, USA NASA National Snow and Ice Data Center [data set], https://doi.org/10.5067/XB8K63YM4U8O, 2020.
Derksen, C., Xu, X., Dunbar, R. S., Colliander, A., Kim, Y., Kimball, J. S.,
Black, T. A., Euskirchen, E., Langlois, A., Loranty, M.M., Marsh, P., Rautiainen, K., Roy, A., Royer, A., and Stephens, J.: Retrieving Landscape Freeze/Thaw State from Soil
Moisture Active Passive (SMAP) Radar and Radiometer Measurements, Remote
Sens. Environ., 194, 48–62, https://doi.org/10.1016/j.rse.2017.03.007, 2017.
De Roo, R. D. and Ulaby, F. T.: Bistatic specular scattering from rough
dielectric surfaces, IEEE T. Antenn. Propag., 42,
220–231, https://doi.org/10.1109/8.277216, 1994.
Dunbar, S., Xu, X., Colliander, A., Derksen, C., Kimball, J., and Kim, Y.:
Algorithm Theoretical Basis Document (ATBD), SMAP Level 3 Radiometer
Freeze/Thaw Data Products, JPL CIT: JPL D-56288, 33,
https://smap.jpl.nasa.gov/system/internal_resources/details/original/274_L3_FT_A_RevA_web.pdf (last access: 15 September 2023), 2016.
ESA: Land Cover CCI Product User Guide Version 2, Tech. Rep.,
http://maps.elie.ucl.ac.be/CCI/viewer/download/ESACCI-LC-Ph2-PUGv2_2.0.pdf (last access: 15 September 2023), 2017.
Fernandez-Moran, R., Wigneron, J.-P., Lopez-Baeza, E., Al-Yaari, A., Coll-Pajaron, A., Mialon, A., Miernecki, M., Parrens, M., Salgado-Hernanz, P. M., Schwank, M., Wang, S., and Kerr, Y. H.:
Roughness and vegetation parameterizations at L-band for soil moisture
retrievals over a vineyard field, Remote Sens. Environ., 170,
269–279, https://doi.org/10.1016/j.rse.2015.09.006, 2015.
Fisher, R. A.: The use of multiple measurements in taxonomic problem, Ann.
Eugenic., 7, 179–188, https://doi.org/10.1111/j.1469-1809.1936.tb02137.x, 1936.
Gao, S., Li, Z., Chen, Q., Zhou, W., Lin, M., and Yin, X.: Inter-Sensor
Calibration between HY-2B and AMSR2 Passive Microwave Data in Land Surface
and First Result for Snow Water Equivalent Retrieval, Sensors, 19, 5023,
https://doi.org/10.3390/s19225023, 2019.
Harper, K. L., Lamarche, C., Hartley, A., Peylin, P., Ottlé, C., Bastrikov, V., San Martín, R., Bohnenstengel, S. I., Kirches, G., Boettcher, M., Shevchuk, R., Brockmann, C., and Defourny, P.: A 29-year time series of annual 300 m resolution plant-functional-type maps for climate models, Earth Syst. Sci. Data, 15, 1465–1499, https://doi.org/10.5194/essd-15-1465-2023, 2023.
Hu, T., Zhao, T., Shi, J., Wu, S., Liu, D., Qin, H., and Zhao, K.:
High-Resolution Mapping of Freeze/Thaw Status in China via Fusion of MODIS
and AMSR2 Data, Remote Sens.-Basel, 9, 1339, https://doi.org/10.3390/rs9121339, 2017.
Hu, T., Zhao, T., Zhao, K., and Shi, J.: A continuous global record of
near-surface soil freeze/thaw status from AMSR-E and AMSR2 data,
Int. J. Remote Sens., 40, 6993–7016, https://doi.org/10.1080/01431161.2019.1597307, 2019.
Kilic, L., Prigent, C., Jimenez, C., and Donlon, C.: Technical note: A sensitivity analysis from 1 to 40 GHz for observing the Arctic Ocean with the Copernicus Imaging Microwave Radiometer, Ocean Sci., 17, 455–461, https://doi.org/10.5194/os-17-455-2021, 2021.
Kumawat, D., Olyaei, M., Gao, L., and Ebtehaj, A.: Passive Microwave Retrieval
of Soil Moisture Below Snowpack at L-Band Using SMAP Observations, IEEE
T. Geosci. Remote, 60, 4415216, https://doi.org/10.1109/TGRS.2022.3216324, 2022.
Lemmetyinen, J., Schwank, M., Rautiainen, K., Kontu, A., Parkkinen, T.,
Mätzler, C., Wiesmann, A., Wegmüller, U., Derksen, C., Toose, P.,
Roy, A., and Pulliainen, J.: Snow density and ground permittivity retrieved from
L-band radiometry: application to experimental data, Remote Sens.
Environ., 180, 377–391, https://doi.org/10.1016/j.rse.2016.02.002, 2016.
Loranty, M. M. and Alexander, H. D.: Understory micrometorology across a larch
forest density gradient in northeastern Siberia 2014–2020, Arctic Data
Center [data set], https://doi.org/10.18739/A24B2X59C, 2021.
Maeda, T., Taniguchi, Y., and Imaoka, K.: GCOM-W1 AMSR2 Level 1R Product: Dataset of Brightness Temperature Modified Using the Antenna Pattern Matching Technique, IEEE T. Geosci. Remote, 54, 770–782, https://doi.org/10.1109/TGRS.2015.2465170, 2016.
Muzalevskiy, K. and Ruzicka, Z.: Detection of Soil Freeze/Thaw States in the
Arctic Region Based on Combined SMAP and AMSR-2 Radio Brightness
Observations, Int. J. Remote Sens., 41, 5046–5061,
https://doi.org/10.1080/01431161.2020.1724348, 2020.
Muzalevskiy, K., Ruzicka, Z., Roy, A., Loranty, M., and Vasiliev, A.:
Classification of the frozen/thawed surface state of Northern land areas
based on SMAP and GCOM-W1 brightness temperature observations at 1.4 GHz and
6.9 GHz, Remote Sens. Lett., 11, 1073–1081, https://doi.org/10.1080/2150704X.2021.1963497, 2021.
Muzalevskiy, K. V., Ruzicka, Z., Kosolapova, L. G., and Mironov, V. L.:
Temperature dependence of SMOS/MIRAS, GCOM-W1/AMSR2 brightness temperature
and ALOS/PALSAR radar backscattering at arctic test sites, Proceedings of
Progress in Electromagnetic Research Symposium (PIERS), Shanghai, 3578–3582,
https://doi.org/10.1109/PIERS.2016.7735375, 2016.
Permafrost Laboratory Geophysical Institute, the University of Alaska Fairbanks: Permafrost Laboratory, https://permafrost.gi.alaska.edu/sites_map, last access: 15 September 2023.
Piepmeier, J. R., Focardi, P., Horgan, K. A., Knuble, J., Ehsan, N., Lucey, J., Brambora, C., Brown, P. R., Hoffman, P. J., French, R. T., Mikhaylov, R. L., Kwack, E. Y., Slimko, E. M., Dawson, D. E., Hudson, D., Peng, J., Mohammed, P. N., De Amici, G., Freedman, A. P., Medeiros, J., Sacks, F., Estep, R., Spencer, M. W., Chen, C. W., Wheeler, K. B., Edelstein, W. N., O'Neill, P. E., and Njoku, E. G.: SMAP L-Band
Microwave Radiometer: Instrument Design and First Year on Orbit, IEEE T.
Geosci. Remote, 55, 1954–1966, https://doi.org/10.1109/tgrs.2016.2631978,
2017.
Rautiainen, K., Lemmetyinen, J., Schwank, M., Kontu, A., Ménard, C.,
Mätzler, C., Drusch, M., Wiesmann, A., Ikonen, J., and Pulliainen, J.:
Detection of soil freezing from L-band passive microwave observations,
Remote Sens. Environ., 147, 206–218, https://doi.org/10.1016/j.rse.2014.03.007,
2014.
Rautiainen, K., Parkkinen, T., Lemmetyinen, J., Schwank, M., Wiesmann, A.,
Ikonen, J., Derksen, C., Davydov, S., Davydova, A., Boike, J., Langer, M.,
Drusch, M., and Pulliainen, J.: SMOS prototype algorithm for detecting autumn
soil freezing, Remote Sens. Environ., 180, 346–360, https://doi.org/10.1016/j.rse.2016.01.012, 2016.
Rodriguez-Alvarez, N., Camps, A., Vall-llossera, M., Bosch-Lluis, X.,
Monerris, A., Ramos-Perez, I., and Sanchez, N.: Land Geophysical Parameters
Retrieval Using the Interference Pattern GNSS-R Technique, IEEE T. Geosci. Remote, 49, 71–84, https://doi.org/10.1109/TGRS.2010.2049023, 2011.
Roy, A., Royer, A., Derksen, C., Brucker, L., Langlois, A., Mialon, A., and
Kerr, Y.: Evaluation of spaceborne L-band radiometer measurements for
terrestrial freeze/thaw retrievals in Canada, IEEE J. Sel.
Top. Appl., 8, 4442–4459, https://doi.org/10.1109/JSTARS.2015.2476358, 2015.
Wang, J. R., O'Neill, P. E., Jackson, T. J., and Engman, E. T.: Multifrequency
Measurements of the Effects of Soil Moisture, Soil Texture, And Surface
Roughness, IEEE T. Geosci. Remote, 21,
44–51, https://doi.org/10.1109/TGRS.1983.350529, 1983.
Watanabe, M., Kadosaki, G., Kim, Y., Ishikawa, M., Kushida, K., Sawada, Y.,
Tadono, T., Fukuda, M., and Sato, M.: Analysis of the Sources of Variation in
L-band Backscatter From Terrains With Permafrost, IEEE T.
Geosci. Remote, 50, 44–54, https://doi.org/10.1109/TGRS.2011.2159843,
2012.
Wigneron J.-P., Chanzy, A., Kerr, Y., Lawrence, H., Shi, J., Escorihuela, M. J., Mironov, V., Mialon, A., Demontoux, F., de Rosnay, P., and Saleh-Contell, K.: Evaluating an
Improved Parameterization of the Soil Emission in L-MEB, IEEE T.
Geosci. Remote, 49, 1177–1189, https://doi.org/10.1109/TGRS.2010.2075935, 2011.
Zhao, T., Zhang, L., Jiang, L., Zhao, S., Chai, L., and Jin, R.: A new soil
freeze/thaw discriminant algorithm using AMSR-E passive microwave imagery,
Hydrol. Process., 25, 1704–1716, https://doi.org/10.1002/hyp.7930, 2011.
Zhao, T., Shi, J., Hu, T., Zhao, L., Zou, D., Wang, T., Ji, D., Li, R., and
Wang, P.: Estimation of high-resolution near surface freeze/thaw state by
the integration of microwave and thermal infrared remote sensing data on the
Tibetan Plateau, Earth Space Sci., 4, 472–484, https://doi.org/10.1002/2017EA000277, 2017.
Zuerndorfer, B. W., England, A. W., Dobson, M. C., and Ulaby, F. T.: Mapping
freeze/thaw boundaries with SMMR data, NASA Contractor Report 184991, 28,
https://ntrs.nasa.gov/citations/19890014590 (last access: 15 September 2023), 1989.
Zuerndorfer, B. W., England, A. W., Dobson, M. C., and Ulaby, F. T.: Mapping
freeze/thaw boundaries with SMMR data, Agr. Forest Meteorol.,
52, 199–225, 1990.
Short summary
A new all-weather method for determining the frozen/thawed (FT) state of soils in the Arctic region based on satellite data was proposed. The method is based on multifrequency measurement of brightness temperatures by the SMAP and GCOM-W1/AMSR2 satellites. The created method was tested at sites in Canada, Finland, Russia, and the USA, based on climatic weather station data. The proposed method identifies the FT state of Arctic soils with better accuracy than existing methods.
A new all-weather method for determining the frozen/thawed (FT) state of soils in the Arctic...
