Academic Journal
Using spaceborne SAR and ground-based measurements to identify spatial patterns in soil moisture and seasonal thaw timing in permafrost environments of Alaska.
| Τίτλος: | Using spaceborne SAR and ground-based measurements to identify spatial patterns in soil moisture and seasonal thaw timing in permafrost environments of Alaska. |
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| Συγγραφείς: | Baxter, W. Brad, Hoppinen, Zachary, Lasko, Kristofer, Meehan, Tate, Brodylo, David, Sullivan, Taylor D., Barker, Amanda J., Douglas, Thomas A. |
| Πηγή: | Frontiers in Remote Sensing; 2025, p1-18, 18p |
| Θεματικοί όροι: | Soil moisture, Permafrost, Microwave remote sensing, Freeze-thaw cycles, Arctic climate, Spatiotemporal processes |
| Γεωγραφικοί όροι: | Alaska, Arctic regions |
| Περίληψη: | Spatiotemporal patterns in soil moisture play a critical role in the near-surface energy balance in permafrost regions, yet soil moisture detection in periglacial environments is complicated by highly heterogeneous terrain conditions. We integrate ground-based and spaceborne microwave methods to investigate patterns and controls on surface soil moisture (SSM) in boreal and arctic permafrost environments of Alaska. Soil sampling, geophysics, and probing revealed heterogeneous SSM with significant fine-scale (1 m) variability by topographic setting (p < 0.001) and pedological characteristics (p = 0.01) in arctic tundra, and by land cover type (p < 0.001) in low-relief boreal forest. SSM spatial autocorrelation was greatest below 20 m thresholds demonstrating the adequate spatial resolution for capturing natural SSM heterogeneity at these sites. SMAP L-band was tested for coarse (9 km) soil moisture detection in boreal forest but demonstrated low representativeness from limited ground-based measurements. Finer resolution (∼20 m) relative SSM derived from Sentinel-1 C-band time series in arctic tundra more closely represents the noted SSM autocorrelation length and is explored for visualizing SSM landscape variability. Satellite detection biases created by high-profile tussocks and thick organic soil horizons identified with probe-SSM reveal the need for site-specific soil information in satellite-SSM interpretations. Lastly, time-series of C-band backscatter distributions in boreal forest demonstrated potential for tracking soil thaw onset beneath residual spring snowpack. These results illustrate the complexity of SSM monitoring in periglacial environments and the potential for C-band backscatter and L-band SMAP for large-scale tracking of SSM in these environments. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: | Complementary Index |
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| Items | – Name: Title Label: Title Group: Ti Data: Using spaceborne SAR and ground-based measurements to identify spatial patterns in soil moisture and seasonal thaw timing in permafrost environments of Alaska. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Baxter%2C+W%2E+Brad%22">Baxter, W. Brad</searchLink><br /><searchLink fieldCode="AR" term="%22Hoppinen%2C+Zachary%22">Hoppinen, Zachary</searchLink><br /><searchLink fieldCode="AR" term="%22Lasko%2C+Kristofer%22">Lasko, Kristofer</searchLink><br /><searchLink fieldCode="AR" term="%22Meehan%2C+Tate%22">Meehan, Tate</searchLink><br /><searchLink fieldCode="AR" term="%22Brodylo%2C+David%22">Brodylo, David</searchLink><br /><searchLink fieldCode="AR" term="%22Sullivan%2C+Taylor+D%2E%22">Sullivan, Taylor D.</searchLink><br /><searchLink fieldCode="AR" term="%22Barker%2C+Amanda+J%2E%22">Barker, Amanda J.</searchLink><br /><searchLink fieldCode="AR" term="%22Douglas%2C+Thomas+A%2E%22">Douglas, Thomas A.</searchLink> – Name: TitleSource Label: Source Group: Src Data: Frontiers in Remote Sensing; 2025, p1-18, 18p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Soil+moisture%22">Soil moisture</searchLink><br /><searchLink fieldCode="DE" term="%22Permafrost%22">Permafrost</searchLink><br /><searchLink fieldCode="DE" term="%22Microwave+remote+sensing%22">Microwave remote sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Freeze-thaw+cycles%22">Freeze-thaw cycles</searchLink><br /><searchLink fieldCode="DE" term="%22Arctic+climate%22">Arctic climate</searchLink><br /><searchLink fieldCode="DE" term="%22Spatiotemporal+processes%22">Spatiotemporal processes</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Alaska%22">Alaska</searchLink><br /><searchLink fieldCode="DE" term="%22Arctic+regions%22">Arctic regions</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Spatiotemporal patterns in soil moisture play a critical role in the near-surface energy balance in permafrost regions, yet soil moisture detection in periglacial environments is complicated by highly heterogeneous terrain conditions. We integrate ground-based and spaceborne microwave methods to investigate patterns and controls on surface soil moisture (SSM) in boreal and arctic permafrost environments of Alaska. Soil sampling, geophysics, and probing revealed heterogeneous SSM with significant fine-scale (1 m) variability by topographic setting (p < 0.001) and pedological characteristics (p = 0.01) in arctic tundra, and by land cover type (p < 0.001) in low-relief boreal forest. SSM spatial autocorrelation was greatest below 20 m thresholds demonstrating the adequate spatial resolution for capturing natural SSM heterogeneity at these sites. SMAP L-band was tested for coarse (9 km) soil moisture detection in boreal forest but demonstrated low representativeness from limited ground-based measurements. Finer resolution (∼20 m) relative SSM derived from Sentinel-1 C-band time series in arctic tundra more closely represents the noted SSM autocorrelation length and is explored for visualizing SSM landscape variability. Satellite detection biases created by high-profile tussocks and thick organic soil horizons identified with probe-SSM reveal the need for site-specific soil information in satellite-SSM interpretations. Lastly, time-series of C-band backscatter distributions in boreal forest demonstrated potential for tracking soil thaw onset beneath residual spring snowpack. These results illustrate the complexity of SSM monitoring in periglacial environments and the potential for C-band backscatter and L-band SMAP for large-scale tracking of SSM in these environments. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Frontiers in Remote Sensing is the property of Frontiers Media S.A. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/frsen.2025.1579261 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 1 Subjects: – SubjectFull: Alaska Type: general – SubjectFull: Arctic regions Type: general – SubjectFull: Soil moisture Type: general – SubjectFull: Permafrost Type: general – SubjectFull: Microwave remote sensing Type: general – SubjectFull: Freeze-thaw cycles Type: general – SubjectFull: Arctic climate Type: general – SubjectFull: Spatiotemporal processes Type: general Titles: – TitleFull: Using spaceborne SAR and ground-based measurements to identify spatial patterns in soil moisture and seasonal thaw timing in permafrost environments of Alaska. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Baxter, W. Brad – PersonEntity: Name: NameFull: Hoppinen, Zachary – PersonEntity: Name: NameFull: Lasko, Kristofer – PersonEntity: Name: NameFull: Meehan, Tate – PersonEntity: Name: NameFull: Brodylo, David – PersonEntity: Name: NameFull: Sullivan, Taylor D. – PersonEntity: Name: NameFull: Barker, Amanda J. – PersonEntity: Name: NameFull: Douglas, Thomas A. IsPartOfRelationships: – BibEntity: Dates: – D: 13 M: 06 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 26736187 Titles: – TitleFull: Frontiers in Remote Sensing Type: main |
| ResultId | 1 |