Sentinel-1 InSAR measurements of deformation over discontinuous permafrost terrain, Northern Quebec, Canada
Differential synthetic aperture radar interferometry (D-InSAR) has been applied in permafrost environments to detect surface deformation caused by freeze-thaw processes in the active layer and underlying permafrost. The effectiveness of Sentinel-1 InSAR in monitoring ground surface deformation over...
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description | Differential synthetic aperture radar interferometry (D-InSAR) has been applied in permafrost environments to detect surface deformation caused by freeze-thaw processes in the active layer and underlying permafrost. The effectiveness of Sentinel-1 InSAR in monitoring ground surface deformation over continuous permafrost terrain above the treeline has been proven. The heterogeneous landscape and developed vegetation cover increase the difficulty of applying D-InSAR in sub-Arctic discontinuous permafrost terrain. The potential of Sentinel-1 InSAR in such an environment has not been fully explored. In this study, we explore the capabilities and limitations of applying Sentinel-1 time series data for monitoring surface deformation over discontinuous permafrost terrain. The interferometric coherence time series from September 2016 to April 2018 were analyzed over typical landscapes in discontinuous permafrost environments and their thaw subsidence curves are revealed by the small-baseline subset (SBAS) InSAR technique. The seasonal thaw subsidence in the summer of 2017 was in the range of 15–80 mm in the study area. The land cover types with thaw subsidence magnitudes from low to high are exposed land, peatland, lichen–low shrub, lichen-dominated and wetland low vegetation. The difference in displacement pattern between lichen-dominated and wetland-low vegetation-dominated permafrost terrains is especially clear at the end of the thawing stage, in September and October. The differences in thaw subsidence magnitude and pattern reveal the influence of the soil water content in the active layer and permafrost properties on the thaw subsidence patterns. We also compared the Sentinel-1 retrieved cumulative displacement with the X-band TerraSAR-X and L-band ALOS PALSAR results. The difference of retrieved deformation magnitude using the three sensors is amplified when shrubs are more developed. The findings indicate that Sentinel-1 time series with a 6-day or 12-day span work well over discontinuous permafrost terrain above the tree line (i.e., tundra, tundra wetlands and less developed shrub-tundra environments) during the thawed season, but the results and accuracy are not promising over developed shrub-tundra and, especially forest-tundra environments.
•Determination of the applicability of Sentinel-1 in monitoring surface deformation over discontinuous permafrost terrain.•Description of C-band coherence time series over various landscape types in discontinuous pe |
doi_str_mv | 10.1016/j.rse.2020.111965 |
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•Determination of the applicability of Sentinel-1 in monitoring surface deformation over discontinuous permafrost terrain.•Description of C-band coherence time series over various landscape types in discontinuous permafrost terrain.•Retrieval of thaw subsidence curves over six landcover types in temporal detail.•Comparison of displacements derived from C-band Sentinel-1 data, X-band TerraSAR-X data and L-band ALOS PALSAR data.</description><identifier>ISSN: 0034-4257</identifier><identifier>EISSN: 1879-0704</identifier><identifier>DOI: 10.1016/j.rse.2020.111965</identifier><language>eng</language><publisher>New York: Elsevier Inc</publisher><subject>Active layer ; Deformation ; Deformation effects ; Discontinuous permafrost ; Displacement curve ; Forest management ; Freeze-thaw ; Freeze-thawing ; Interferometric coherence ; Interferometric synthetic aperture radar ; Interferometry ; Land cover ; Landscape ; Lichens ; Moisture content ; Monitoring ; Peatlands ; Permafrost ; SBAS-InSAR ; Sentinel-1 ; Shrubs ; Soil water ; Sub-Arctic ; Subsidence ; Superhigh frequencies ; Surface deformation ; Synthetic aperture radar ; Synthetic aperture radar interferometry ; Taiga & tundra ; Terrain ; Thawing ; Time series ; Treeline ; Tundra ; Vegetation ; Vegetation cover ; Water content ; Wetlands</subject><ispartof>Remote sensing of environment, 2020-10, Vol.248, p.111965, Article 111965</ispartof><rights>2020 Elsevier Inc.</rights><rights>Copyright Elsevier BV Oct 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a348t-f587bf7bdf29eddcedaf73efc9c3369197aec5514804d295d3b010d394bc4623</citedby><cites>FETCH-LOGICAL-a348t-f587bf7bdf29eddcedaf73efc9c3369197aec5514804d295d3b010d394bc4623</cites><orcidid>0000-0003-2081-1022</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0034425720303357$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,65309</link.rule.ids></links><search><creatorcontrib>Wang, Lingxiao</creatorcontrib><creatorcontrib>Marzahn, Philip</creatorcontrib><creatorcontrib>Bernier, Monique</creatorcontrib><creatorcontrib>Ludwig, Ralf</creatorcontrib><title>Sentinel-1 InSAR measurements of deformation over discontinuous permafrost terrain, Northern Quebec, Canada</title><title>Remote sensing of environment</title><description>Differential synthetic aperture radar interferometry (D-InSAR) has been applied in permafrost environments to detect surface deformation caused by freeze-thaw processes in the active layer and underlying permafrost. The effectiveness of Sentinel-1 InSAR in monitoring ground surface deformation over continuous permafrost terrain above the treeline has been proven. The heterogeneous landscape and developed vegetation cover increase the difficulty of applying D-InSAR in sub-Arctic discontinuous permafrost terrain. The potential of Sentinel-1 InSAR in such an environment has not been fully explored. In this study, we explore the capabilities and limitations of applying Sentinel-1 time series data for monitoring surface deformation over discontinuous permafrost terrain. The interferometric coherence time series from September 2016 to April 2018 were analyzed over typical landscapes in discontinuous permafrost environments and their thaw subsidence curves are revealed by the small-baseline subset (SBAS) InSAR technique. The seasonal thaw subsidence in the summer of 2017 was in the range of 15–80 mm in the study area. The land cover types with thaw subsidence magnitudes from low to high are exposed land, peatland, lichen–low shrub, lichen-dominated and wetland low vegetation. The difference in displacement pattern between lichen-dominated and wetland-low vegetation-dominated permafrost terrains is especially clear at the end of the thawing stage, in September and October. The differences in thaw subsidence magnitude and pattern reveal the influence of the soil water content in the active layer and permafrost properties on the thaw subsidence patterns. We also compared the Sentinel-1 retrieved cumulative displacement with the X-band TerraSAR-X and L-band ALOS PALSAR results. The difference of retrieved deformation magnitude using the three sensors is amplified when shrubs are more developed. The findings indicate that Sentinel-1 time series with a 6-day or 12-day span work well over discontinuous permafrost terrain above the tree line (i.e., tundra, tundra wetlands and less developed shrub-tundra environments) during the thawed season, but the results and accuracy are not promising over developed shrub-tundra and, especially forest-tundra environments.
•Determination of the applicability of Sentinel-1 in monitoring surface deformation over discontinuous permafrost terrain.•Description of C-band coherence time series over various landscape types in discontinuous permafrost terrain.•Retrieval of thaw subsidence curves over six landcover types in temporal detail.•Comparison of displacements derived from C-band Sentinel-1 data, X-band TerraSAR-X data and L-band ALOS PALSAR data.</description><subject>Active layer</subject><subject>Deformation</subject><subject>Deformation effects</subject><subject>Discontinuous permafrost</subject><subject>Displacement curve</subject><subject>Forest management</subject><subject>Freeze-thaw</subject><subject>Freeze-thawing</subject><subject>Interferometric coherence</subject><subject>Interferometric synthetic aperture radar</subject><subject>Interferometry</subject><subject>Land cover</subject><subject>Landscape</subject><subject>Lichens</subject><subject>Moisture content</subject><subject>Monitoring</subject><subject>Peatlands</subject><subject>Permafrost</subject><subject>SBAS-InSAR</subject><subject>Sentinel-1</subject><subject>Shrubs</subject><subject>Soil water</subject><subject>Sub-Arctic</subject><subject>Subsidence</subject><subject>Superhigh frequencies</subject><subject>Surface deformation</subject><subject>Synthetic aperture radar</subject><subject>Synthetic aperture radar interferometry</subject><subject>Taiga & tundra</subject><subject>Terrain</subject><subject>Thawing</subject><subject>Time series</subject><subject>Treeline</subject><subject>Tundra</subject><subject>Vegetation</subject><subject>Vegetation cover</subject><subject>Water content</subject><subject>Wetlands</subject><issn>0034-4257</issn><issn>1879-0704</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kE9LAzEQxYMoWKsfwFvAa7dmdrO7XTyV4p9CUbS9h2wywaxtUpPdgt_elHr2NMzM-808HiG3wKbAoLrvpiHiNGd56gGaqjwjI5jVTcZqxs_JiLGCZzwv60tyFWPHGJSzGkbka42utw63GdClW88_6A5lHALu0jxSb6hG48NO9tY76g8YqLZR-SM0-CHSPaalCT72tMcQpHUT-upD_4nB0fcBW1QTupBOanlNLozcRrz5q2OyeXrcLF6y1dvzcjFfZbLgsz4zyVlr6labvEGtFWpp6gKNalRRVA00tURVlsBnjOu8KXXRMmC6aHireJUXY3J3OrsP_nvA2IvOD8GljyLnJUCdcw5JBSeVSt5jQCP2we5k-BHAxDFS0YkUqThGKk6RJubhxGByf7AYRFQWXXJoA6peaG__oX8BdcuAGw</recordid><startdate>202010</startdate><enddate>202010</enddate><creator>Wang, Lingxiao</creator><creator>Marzahn, Philip</creator><creator>Bernier, Monique</creator><creator>Ludwig, Ralf</creator><general>Elsevier Inc</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SN</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7TG</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KL.</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><orcidid>https://orcid.org/0000-0003-2081-1022</orcidid></search><sort><creationdate>202010</creationdate><title>Sentinel-1 InSAR measurements of deformation over discontinuous permafrost terrain, Northern Quebec, Canada</title><author>Wang, Lingxiao ; Marzahn, Philip ; Bernier, Monique ; Ludwig, Ralf</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a348t-f587bf7bdf29eddcedaf73efc9c3369197aec5514804d295d3b010d394bc4623</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Active layer</topic><topic>Deformation</topic><topic>Deformation effects</topic><topic>Discontinuous permafrost</topic><topic>Displacement curve</topic><topic>Forest management</topic><topic>Freeze-thaw</topic><topic>Freeze-thawing</topic><topic>Interferometric coherence</topic><topic>Interferometric synthetic aperture radar</topic><topic>Interferometry</topic><topic>Land cover</topic><topic>Landscape</topic><topic>Lichens</topic><topic>Moisture content</topic><topic>Monitoring</topic><topic>Peatlands</topic><topic>Permafrost</topic><topic>SBAS-InSAR</topic><topic>Sentinel-1</topic><topic>Shrubs</topic><topic>Soil water</topic><topic>Sub-Arctic</topic><topic>Subsidence</topic><topic>Superhigh frequencies</topic><topic>Surface deformation</topic><topic>Synthetic aperture radar</topic><topic>Synthetic aperture radar interferometry</topic><topic>Taiga & tundra</topic><topic>Terrain</topic><topic>Thawing</topic><topic>Time series</topic><topic>Treeline</topic><topic>Tundra</topic><topic>Vegetation</topic><topic>Vegetation cover</topic><topic>Water content</topic><topic>Wetlands</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Lingxiao</creatorcontrib><creatorcontrib>Marzahn, Philip</creatorcontrib><creatorcontrib>Bernier, Monique</creatorcontrib><creatorcontrib>Ludwig, Ralf</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Ecology Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Remote sensing of environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Lingxiao</au><au>Marzahn, Philip</au><au>Bernier, Monique</au><au>Ludwig, Ralf</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sentinel-1 InSAR measurements of deformation over discontinuous permafrost terrain, Northern Quebec, Canada</atitle><jtitle>Remote sensing of environment</jtitle><date>2020-10</date><risdate>2020</risdate><volume>248</volume><spage>111965</spage><pages>111965-</pages><artnum>111965</artnum><issn>0034-4257</issn><eissn>1879-0704</eissn><abstract>Differential synthetic aperture radar interferometry (D-InSAR) has been applied in permafrost environments to detect surface deformation caused by freeze-thaw processes in the active layer and underlying permafrost. The effectiveness of Sentinel-1 InSAR in monitoring ground surface deformation over continuous permafrost terrain above the treeline has been proven. The heterogeneous landscape and developed vegetation cover increase the difficulty of applying D-InSAR in sub-Arctic discontinuous permafrost terrain. The potential of Sentinel-1 InSAR in such an environment has not been fully explored. In this study, we explore the capabilities and limitations of applying Sentinel-1 time series data for monitoring surface deformation over discontinuous permafrost terrain. The interferometric coherence time series from September 2016 to April 2018 were analyzed over typical landscapes in discontinuous permafrost environments and their thaw subsidence curves are revealed by the small-baseline subset (SBAS) InSAR technique. The seasonal thaw subsidence in the summer of 2017 was in the range of 15–80 mm in the study area. The land cover types with thaw subsidence magnitudes from low to high are exposed land, peatland, lichen–low shrub, lichen-dominated and wetland low vegetation. The difference in displacement pattern between lichen-dominated and wetland-low vegetation-dominated permafrost terrains is especially clear at the end of the thawing stage, in September and October. The differences in thaw subsidence magnitude and pattern reveal the influence of the soil water content in the active layer and permafrost properties on the thaw subsidence patterns. We also compared the Sentinel-1 retrieved cumulative displacement with the X-band TerraSAR-X and L-band ALOS PALSAR results. The difference of retrieved deformation magnitude using the three sensors is amplified when shrubs are more developed. The findings indicate that Sentinel-1 time series with a 6-day or 12-day span work well over discontinuous permafrost terrain above the tree line (i.e., tundra, tundra wetlands and less developed shrub-tundra environments) during the thawed season, but the results and accuracy are not promising over developed shrub-tundra and, especially forest-tundra environments.
•Determination of the applicability of Sentinel-1 in monitoring surface deformation over discontinuous permafrost terrain.•Description of C-band coherence time series over various landscape types in discontinuous permafrost terrain.•Retrieval of thaw subsidence curves over six landcover types in temporal detail.•Comparison of displacements derived from C-band Sentinel-1 data, X-band TerraSAR-X data and L-band ALOS PALSAR data.</abstract><cop>New York</cop><pub>Elsevier Inc</pub><doi>10.1016/j.rse.2020.111965</doi><orcidid>https://orcid.org/0000-0003-2081-1022</orcidid></addata></record> |
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subjects | Active layer Deformation Deformation effects Discontinuous permafrost Displacement curve Forest management Freeze-thaw Freeze-thawing Interferometric coherence Interferometric synthetic aperture radar Interferometry Land cover Landscape Lichens Moisture content Monitoring Peatlands Permafrost SBAS-InSAR Sentinel-1 Shrubs Soil water Sub-Arctic Subsidence Superhigh frequencies Surface deformation Synthetic aperture radar Synthetic aperture radar interferometry Taiga & tundra Terrain Thawing Time series Treeline Tundra Vegetation Vegetation cover Water content Wetlands |
title | Sentinel-1 InSAR measurements of deformation over discontinuous permafrost terrain, Northern Quebec, Canada |
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