Retrieving Freeze/Thaw Cycles Using Sentinel-1 Data in Eastern Nunavik (Québec, Canada)

<p>In the terrestrial cryosphere, freeze/thaw (FT) state transitions play an important and measurable role for climatic, hydrological, ecological, and biogeochemical processes in permafrost landscapes. Satellite active and passive microwave remote sensing has shown its principal capacity to provide effective monitoring of landscape FT dynamics. Sentinel-1 continues to deliver high-resolution microwave remote sensing than ever before and has therefore a large potential of usage for monitoring. In light of this, the capability and responses of its radar backscatter to landscape FT processes in different surface soil depths should be examined to provide a thorough grounding for a robust application of the F/T retrieval algorithm.</p><p>This study presents a seasonal threshold approach, which examines the time series progression of remote sensing measurements relative to signatures acquired during seasonal reference frozen and thawed states. It is developed to estimate the FT-state from the Sentinel 1 database and applied and evaluated for the region of Eastern Nunavik (Qu&#233;bec, Canada). In this course, the FT state transitions derived from Sentinel 1 data are compared to temporally overlapping situ measurements of soil moisture from different depths within the top 20cm soil. This work allows to explore differences in the sensitivity of the Sentinel 1 at different surface soil depths in higher detail; this information is used to examine the penetration performance of the Sentinel 1 under different conditions of permafrost and permafrost-dominated landscapes.</p><p>This work is dedicated to providing more accurate data to capture the spatio-temporal heterogeneity of freeze/thaw transitions. As Sentinel-1 continues to deliver high-quality information, the provided threshold algorithm delivers an extended time series to analyze FT-states and improve our understanding of related processes in permafrost landscapes.</p>

[1]  R. Ludwig,et al.  Sentinel-1 InSAR measurements of deformation over discontinuous permafrost terrain, Northern Quebec, Canada , 2020 .

[2]  Lingmei Jiang,et al.  Evaluation and analysis of SMAP, AMSR2 and MEaSUREs freeze/thaw products in China , 2020 .

[3]  Hui Lu,et al.  Parameterization of the freeze/thaw discriminant function algorithm using dense in-situ observation network data , 2019, Int. J. Digit. Earth.

[4]  Chris Derksen,et al.  Global Assessment of the SMAP Freeze/Thaw Data Record and Regional Applications for Detecting Spring Onset and Frost Events , 2019, Remote. Sens..

[5]  Andreas Kääb,et al.  Northern Hemisphere permafrost map based on TTOP modelling for 2000–2016 at 1 km2 scale , 2019, Earth-Science Reviews.

[6]  Onisimo Mutanga,et al.  Google Earth Engine Applications , 2019, Remote. Sens..

[7]  E. Lévesque,et al.  Ecosystem changes across a gradient of permafrost degradation in subarctic Québec (Tasiapik Valley, Nunavik, Canada) , 2019, Arctic Science.

[8]  Onisimo Mutanga,et al.  Google Earth Engine Applications Since Inception: Usage, Trends, and Potential , 2018, Remote. Sens..

[9]  Philip Marzahn,et al.  Mapping permafrost landscape features using object-based image classification of multi-temporal SAR images , 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

[10]  Michael Dixon,et al.  Google Earth Engine: Planetary-scale geospatial analysis for everyone , 2017 .

[11]  Peter Toose,et al.  Spatial Variability of L-Band Brightness Temperature during Freeze/Thaw Events over a Prairie Environment , 2017, Remote. Sens..

[12]  Chris Derksen,et al.  Validation of the SMAP freeze/thaw product using categorical triple collocation , 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[13]  Chris Derksen,et al.  Retrieving landscape freeze/thaw state from Soil Moisture Active Passive (SMAP) radar and radiometer measurements. , 2017 .

[14]  Peter Toose,et al.  Response of L-Band brightness temperatures to freeze/thaw and snow dynamics in a prairie environment from ground-based radiometer measurements , 2017 .

[15]  John S. Kimball,et al.  An extended global Earth system data record on daily landscape freeze–thaw status determined from satellite passive microwave remote sensing , 2016 .

[16]  Chris Derksen,et al.  SMOS prototype algorithm for detecting autumn soil freezing , 2016 .

[17]  E. Lévesque,et al.  How do climate and topography influence the greening of the forest‐tundra ecotone in northern Québec? A dendrochronological analysis of Betula glandulosa , 2015 .

[18]  E. Lévesque,et al.  Assessing Permafrost Degradation and Land Cover Changes (1986–2009) using Remote Sensing Data over Umiujaq, Sub‐Arctic Québec , 2015 .

[19]  Andreas Wiesmann,et al.  Detection of soil freezing from L-band passive microwave observations , 2014 .

[20]  Chris Derksen,et al.  Recent changes in pan‐Arctic melt onset from satellite passive microwave measurements , 2013 .

[21]  M. Allard,et al.  Permafrost and Climate Change in Nunavik and Nunatsiavut: Importance for Municipal and Transportation Infrastructures , 2011 .

[22]  Linna Chai,et al.  A new soil freeze/thaw discriminant algorithm using AMSR‐E passive microwave imagery , 2011 .

[23]  Vladimir E. Romanovsky,et al.  Permafrost thermal state in the polar Northern Hemisphere during the international polar year 2007–2009: a synthesis , 2010 .

[24]  Xin Li,et al.  A decision tree algorithm for surface soil freeze/thaw classification over China using SSM/I brightness temperature , 2009 .

[25]  Claude R. Duguay,et al.  Using the MODIS land surface temperature product for mapping permafrost: an application to northern Québec and Labrador, Canada , 2009 .

[26]  M. Allard,et al.  Development and decay of a lithalsa in Northern Québec: A geomorphological history , 2008 .

[27]  Wolfgang Wagner,et al.  Temporal and spatial variability of the beginning and end of daily spring freeze/thaw cycles derived from scatterometer data , 2007 .

[28]  F. Nelson,et al.  The Circumpolar Active Layer Monitoring (CALM) Workshop and THE CALM II Program , 2004 .

[29]  F. Nelson,et al.  The circumpolar active layer monitoring (calm) program: Research designs and initial results , 2000 .

[30]  A. England,et al.  Freeze/thaw classification for prairie soils using SSM/I radiobrightnesses , 1996, IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium.

[31]  M. Allard,et al.  The Holocene evolution of permafrost near the tree line, on the eastern coast of Hudson Bay (northern Quebec) , 1987 .

[32]  Anthony W. England,et al.  Radiobrightness decision criteria for freeze/thaw boundaries , 1992, IEEE Trans. Geosci. Remote. Sens..