Sensitivity of Multifrequency Polarimetric SAR Data to Postfire Permafrost Changes and Recovery Processes in Arctic Tundra

We used full-polarimetric L-band and P-band synthetic aperture radar (SAR) data collected from the recent NASA Arctic Boreal Vulnerability Experiment (ABoVE) airborne campaign and Sentinel-1 C-band dual-polarization data to understand the sensitivity of radar backscatter intensity and phase to fire-...

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Vydané v:IEEE transactions on geoscience and remote sensing Ročník 60; s. 1 - 15
Hlavní autori: Yi, Yonghong, Chen, Richard H., Moghaddam, Mahta, Kimball, John S., Jones, Benjamin M., Jandt, Randi R., Miller, Eric A., Miller, Charles E.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Abstract We used full-polarimetric L-band and P-band synthetic aperture radar (SAR) data collected from the recent NASA Arctic Boreal Vulnerability Experiment (ABoVE) airborne campaign and Sentinel-1 C-band dual-polarization data to understand the sensitivity of radar backscatter intensity and phase to fire-induced changes in the surface and subsurface soil processes in Arctic tundra underlain by permafrost. The 2007 Anaktuvuk River fire on the Alaska North Slope was used as a case study. At ~10-year postfire, we observed a strong increase (>~3-4 dB) in the low-frequency radar backscatter in severely burned areas during the thaw season, in contrast to limited (< ~0.5 dB) C-band backscatter differences (VV and VH) between burned and unburned areas. However, C-band winter backscatter is generally higher (>1 dB) in burned areas than the adjacent unburned areas. Polarimetric decomposition analysis indicated a general trend toward more random surface scattering, and strong increases in double-bounce scattering and volume scattering power at both P- and L-band in the burned areas. The ice-rich yedoma region shows the largest backscatter increases in burned areas and the highest correlation with burn severity and microtopography changes. The above backscatter changes are attributed to increasing surface roughness and microtopography due to ice-wedge degradation and thermokarst development and increasing subsurface scattering due to an overall drier and deeper active layer in burned areas. Among all frequencies, P-band shows consistently larger contrast in backscatter power and phase between burned and unburned areas, which makes it potentially more useful to study fire-permafrost interactions in the Arctic over decadal time scales.
AbstractList We used full-polarimetric L-band and P-band synthetic aperture radar (SAR) data collected from the recent NASA Arctic Boreal Vulnerability Experiment (ABoVE) airborne campaign and Sentinel-1 C-band dual-polarization data to understand the sensitivity of radar backscatter intensity and phase to fire-induced changes in the surface and subsurface soil processes in Arctic tundra underlain by permafrost. The 2007 Anaktuvuk River fire on the Alaska North Slope was used as a case study. At ~10-year postfire, we observed a strong increase (>~3-4 dB) in the low-frequency radar backscatter in severely burned areas during the thaw season, in contrast to limited (< ~0.5 dB) C-band backscatter differences (VV and VH) between burned and unburned areas. However, C-band winter backscatter is generally higher (>1 dB) in burned areas than the adjacent unburned areas. Polarimetric decomposition analysis indicated a general trend toward more random surface scattering, and strong increases in double-bounce scattering and volume scattering power at both P- and L-band in the burned areas. The ice-rich yedoma region shows the largest backscatter increases in burned areas and the highest correlation with burn severity and microtopography changes. The above backscatter changes are attributed to increasing surface roughness and microtopography due to ice-wedge degradation and thermokarst development and increasing subsurface scattering due to an overall drier and deeper active layer in burned areas. Among all frequencies, P-band shows consistently larger contrast in backscatter power and phase between burned and unburned areas, which makes it potentially more useful to study fire-permafrost interactions in the Arctic over decadal time scales.
~3–4 dB) in the low-frequency radar backscatter in severely burned areas during the thaw season, in contrast to limited ( 1 dB) in burned areas than the adjacent unburned areas. Polarimetric decomposition analysis indicated a general trend toward more random surface scattering, and strong increases in double-bounce scattering and volume scattering power at both P- and L-band in the burned areas. The ice-rich yedoma region shows the largest backscatter increases in burned areas and the highest correlation with burn severity and microtopography changes. The above backscatter changes are attributed to increasing surface roughness and microtopography due to ice-wedge degradation and thermokarst development and increasing subsurface scattering due to an overall drier and deeper active layer in burned areas. Among all frequencies, P-band shows consistently larger contrast in backscatter power and phase between burned and unburned areas, which makes it potentially more useful to study fire–permafrost interactions in the Arctic over decadal time scales.
Author Jones, Benjamin M.
Moghaddam, Mahta
Yi, Yonghong
Chen, Richard H.
Kimball, John S.
Jandt, Randi R.
Miller, Eric A.
Miller, Charles E.
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Cites_doi 10.1109/TGRS.2019.2903935
10.3390/rs10040551
10.5589/m11-060
10.1038/s41598-019-56967-x
10.1109/JSTARS.2013.2261053
10.1109/TGRS.2012.2205264
10.1109/LGRS.2014.2382716
10.1029/2020gl087565
10.1109/TGRS.2010.2049653
10.1109/TGRS.2014.2326839
10.1109/36.297991
10.1038/ngeo2674
10.1111/j.1365-2486.2011.02441.x
10.1126/science.abf3903
10.1002/jgrg.20053
10.1016/j.rse.2019.111515
10.1038/nature10283
10.1016/s0034-4257(98)00094-7
10.1109/TGRS.2013.2295594
10.1080/19475705.2010.532971
10.1080/01431160600976061
10.3390/rs6076347
10.1080/01431161.2018.1512768
10.3390/rs70607447
10.1038/srep15865
10.3390/rs11192230
10.1088/1748-9326/aafc1b
10.1088/1748-9326/ab5f49
10.1109/36.551935
10.1109/TGRS.2004.830645
10.1002/2014gl060533
10.1109/36.406675
10.1016/j.rse.2011.04.009
10.1088/1748-9326/ab0d44
10.1109/TGRS.2006.886176
10.5194/tc-12-145-2018
10.1109/36.673687
10.1109/IGARSS.2005.1526102
10.1657/1938-4246-41.3.309
10.1088/1748-9326/aaf932
10.1109/JSTARS.2018.2873740
10.3390/rs8030218
10.3390/rs10010142
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References ref13
ref35
ref12
ref34
ref15
ref37
ref14
Jandt (ref26) 2021
ref36
ref31
ref30
ref11
ref33
ref10
ref32
ref2
ref1
Yurchak (ref41)
ref17
ref39
ref16
ref38
ref19
ref18
Schaefer (ref27) 2021
Thornton (ref29) 2020
ref24
ref46
ref23
ref45
ref25
ref47
ref20
ref42
ref22
ref44
ref21
ref43
ref28
ref8
ref7
ref9
ref4
ref3
ref6
ref5
ref40
References_xml – ident: ref34
  doi: 10.1109/TGRS.2019.2903935
– volume-title: Daymet: Daily surface weather data on a 1-km grid for North America, version 4
  year: 2020
  ident: ref29
– ident: ref32
  doi: 10.3390/rs10040551
– ident: ref22
  doi: 10.5589/m11-060
– ident: ref17
  doi: 10.1038/s41598-019-56967-x
– ident: ref21
  doi: 10.1109/JSTARS.2013.2261053
– ident: ref31
  doi: 10.1109/TGRS.2012.2205264
– ident: ref10
  doi: 10.1109/LGRS.2014.2382716
– ident: ref3
  doi: 10.1029/2020gl087565
– ident: ref16
  doi: 10.1109/TGRS.2010.2049653
– ident: ref30
  doi: 10.1109/TGRS.2014.2326839
– ident: ref43
  doi: 10.1109/36.297991
– ident: ref47
  doi: 10.1038/ngeo2674
– ident: ref28
  doi: 10.1111/j.1365-2486.2011.02441.x
– ident: ref2
  doi: 10.1126/science.abf3903
– ident: ref9
  doi: 10.1002/jgrg.20053
– ident: ref33
  doi: 10.1016/j.rse.2019.111515
– ident: ref1
  doi: 10.1038/nature10283
– ident: ref15
  doi: 10.1016/s0034-4257(98)00094-7
– ident: ref14
  doi: 10.1109/TGRS.2013.2295594
– start-page: 54
  year: 2021
  ident: ref26
  article-title: Fire effects 10 years after the Anaktuvuk River tundra fire
– ident: ref42
  doi: 10.1080/19475705.2010.532971
– ident: ref13
  doi: 10.1080/01431160600976061
– ident: ref19
  doi: 10.3390/rs6076347
– ident: ref23
  doi: 10.1080/01431161.2018.1512768
– ident: ref38
  doi: 10.3390/rs70607447
– ident: ref5
  doi: 10.1038/srep15865
– ident: ref20
  doi: 10.3390/rs11192230
– ident: ref7
  doi: 10.1088/1748-9326/aafc1b
– ident: ref11
  doi: 10.1088/1748-9326/ab5f49
– ident: ref35
  doi: 10.1109/36.551935
– ident: ref45
  doi: 10.1109/TGRS.2004.830645
– ident: ref4
  doi: 10.1002/2014gl060533
– ident: ref44
  doi: 10.1109/36.406675
– ident: ref18
  doi: 10.1016/j.rse.2011.04.009
– ident: ref25
  doi: 10.1088/1748-9326/ab0d44
– ident: ref37
  doi: 10.1109/TGRS.2006.886176
– start-page: 20
  volume-title: Proc. 31st Int. Symp. Remote Sens. Environ., Global Monitor. Sustainability Security
  ident: ref41
  article-title: Time-series SAR observations of Chukotka sub-Arctic Lakes and forest-tundra fire scars
– volume-title: ABoVE: Soil moisture and active layer thickness in Alaska and NWT, Canada, 2008-2020
  year: 2021
  ident: ref27
– ident: ref46
  doi: 10.5194/tc-12-145-2018
– ident: ref36
  doi: 10.1109/36.673687
– ident: ref24
  doi: 10.1109/IGARSS.2005.1526102
– ident: ref8
  doi: 10.1657/1938-4246-41.3.309
– ident: ref12
  doi: 10.1088/1748-9326/aaf932
– ident: ref39
  doi: 10.1109/JSTARS.2018.2873740
– ident: ref6
  doi: 10.3390/rs8030218
– ident: ref40
  doi: 10.3390/rs10010142
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Snippet We used full-polarimetric L-band and P-band synthetic aperture radar (SAR) data collected from the recent NASA Arctic Boreal Vulnerability Experiment (ABoVE)...
~3–4 dB) in the low-frequency radar backscatter in severely burned areas during the thaw season, in contrast to limited ( 1 dB) in burned areas than the...
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SubjectTerms Arctic
Backscatter
Backscattering
L-band
Microtopography
P-band
Permafrost
polarimetric decomposition
Polarimetry
Radar
Rough surfaces
SAR (radar)
Scattering
Surface roughness
Tundra
tundra fire
Vegetation mapping
Title Sensitivity of Multifrequency Polarimetric SAR Data to Postfire Permafrost Changes and Recovery Processes in Arctic Tundra
URI https://ieeexplore.ieee.org/document/9605582
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