Mapping Surface Organic Soil Properties in Arctic Tundra Using C-Band SAR Data
Surface soil organic carbon (SOC) content is among the first-order controls on the rate and extent of Arctic permafrost thaw. There is a large discrepancy in current SOC estimates in Arctic tundra, where sparse measurements are unable to capture SOC complexity over the vast tundra region. Synthetic...
Published in: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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ftdoajarticles:oai:doaj.org/article:2463f119ea084e5589971dab352e3d66 2023-05-15T13:09:10+02:00 Mapping Surface Organic Soil Properties in Arctic Tundra Using C-Band SAR Data Yonghong Yi Kazem Bakian-Dogaheh Mahta Moghaddam Umakant Mishra John S. Kimball 2023-01-01T00:00:00Z https://doi.org/10.1109/JSTARS.2023.3236117 https://doaj.org/article/2463f119ea084e5589971dab352e3d66 EN eng IEEE https://ieeexplore.ieee.org/document/10015585/ https://doaj.org/toc/2151-1535 2151-1535 doi:10.1109/JSTARS.2023.3236117 https://doaj.org/article/2463f119ea084e5589971dab352e3d66 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 1403-1413 (2023) Arctic tundra principal component analysis (PCA) radar backscatter soil organic carbon (SOC) Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 article 2023 ftdoajarticles https://doi.org/10.1109/JSTARS.2023.3236117 2023-02-26T01:39:58Z Surface soil organic carbon (SOC) content is among the first-order controls on the rate and extent of Arctic permafrost thaw. There is a large discrepancy in current SOC estimates in Arctic tundra, where sparse measurements are unable to capture SOC complexity over the vast tundra region. Synthetic aperture radar (SAR) data are sensitive to surface vegetation, roughness, and moisture conditions, and may provide useful information on surface SOC properties. Here, we investigated the potential of multitemporal Sentinel-1 C-band SAR data for regional SOC mapping in the Arctic tundra through principal component analysis (PCA). Multiple in situ SOC datasets in the Alaska North Slope were assembled to generate a consistent surface (0–10 cm) SOC and bulk density dataset ( n = 97). The radar VV backscatter shows a strong correlation with surface SOC, but the correlation varies greatly with surface snow, moisture, and freeze/thaw conditions. However, the first principal component (PC1) of radar backscatter time series from different years shows spatial consistency representing dominant and persistent surface backscatter behavior. The PC1 also shows a strong linear correlation with surface SOC concentration ( R = 0.65, p <0.01), and an exponential relationship with bulk density ( R = −0.65, p <0.01). The resulting predicted SOC maps show much lower soil bulk density and higher SOC concentration in the southern shrub tundra area than in the northern coastal region, consistent with in situ data. Our analysis shows that it is possible to separate the effects of different factors on the radar backscatter response using PCA and multitemporal SAR data, which may lead to more effective satellite-based methods for Arctic SOC mapping. Article in Journal/Newspaper Alaska North Slope Arctic north slope permafrost Tundra Alaska Directory of Open Access Journals: DOAJ Articles Arctic IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 16 1403 1413 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Arctic tundra principal component analysis (PCA) radar backscatter soil organic carbon (SOC) Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 |
spellingShingle |
Arctic tundra principal component analysis (PCA) radar backscatter soil organic carbon (SOC) Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 Yonghong Yi Kazem Bakian-Dogaheh Mahta Moghaddam Umakant Mishra John S. Kimball Mapping Surface Organic Soil Properties in Arctic Tundra Using C-Band SAR Data |
topic_facet |
Arctic tundra principal component analysis (PCA) radar backscatter soil organic carbon (SOC) Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 |
description |
Surface soil organic carbon (SOC) content is among the first-order controls on the rate and extent of Arctic permafrost thaw. There is a large discrepancy in current SOC estimates in Arctic tundra, where sparse measurements are unable to capture SOC complexity over the vast tundra region. Synthetic aperture radar (SAR) data are sensitive to surface vegetation, roughness, and moisture conditions, and may provide useful information on surface SOC properties. Here, we investigated the potential of multitemporal Sentinel-1 C-band SAR data for regional SOC mapping in the Arctic tundra through principal component analysis (PCA). Multiple in situ SOC datasets in the Alaska North Slope were assembled to generate a consistent surface (0–10 cm) SOC and bulk density dataset ( n = 97). The radar VV backscatter shows a strong correlation with surface SOC, but the correlation varies greatly with surface snow, moisture, and freeze/thaw conditions. However, the first principal component (PC1) of radar backscatter time series from different years shows spatial consistency representing dominant and persistent surface backscatter behavior. The PC1 also shows a strong linear correlation with surface SOC concentration ( R = 0.65, p <0.01), and an exponential relationship with bulk density ( R = −0.65, p <0.01). The resulting predicted SOC maps show much lower soil bulk density and higher SOC concentration in the southern shrub tundra area than in the northern coastal region, consistent with in situ data. Our analysis shows that it is possible to separate the effects of different factors on the radar backscatter response using PCA and multitemporal SAR data, which may lead to more effective satellite-based methods for Arctic SOC mapping. |
format |
Article in Journal/Newspaper |
author |
Yonghong Yi Kazem Bakian-Dogaheh Mahta Moghaddam Umakant Mishra John S. Kimball |
author_facet |
Yonghong Yi Kazem Bakian-Dogaheh Mahta Moghaddam Umakant Mishra John S. Kimball |
author_sort |
Yonghong Yi |
title |
Mapping Surface Organic Soil Properties in Arctic Tundra Using C-Band SAR Data |
title_short |
Mapping Surface Organic Soil Properties in Arctic Tundra Using C-Band SAR Data |
title_full |
Mapping Surface Organic Soil Properties in Arctic Tundra Using C-Band SAR Data |
title_fullStr |
Mapping Surface Organic Soil Properties in Arctic Tundra Using C-Band SAR Data |
title_full_unstemmed |
Mapping Surface Organic Soil Properties in Arctic Tundra Using C-Band SAR Data |
title_sort |
mapping surface organic soil properties in arctic tundra using c-band sar data |
publisher |
IEEE |
publishDate |
2023 |
url |
https://doi.org/10.1109/JSTARS.2023.3236117 https://doaj.org/article/2463f119ea084e5589971dab352e3d66 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Alaska North Slope Arctic north slope permafrost Tundra Alaska |
genre_facet |
Alaska North Slope Arctic north slope permafrost Tundra Alaska |
op_source |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 1403-1413 (2023) |
op_relation |
https://ieeexplore.ieee.org/document/10015585/ https://doaj.org/toc/2151-1535 2151-1535 doi:10.1109/JSTARS.2023.3236117 https://doaj.org/article/2463f119ea084e5589971dab352e3d66 |
op_doi |
https://doi.org/10.1109/JSTARS.2023.3236117 |
container_title |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
container_volume |
16 |
container_start_page |
1403 |
op_container_end_page |
1413 |
_version_ |
1766165418760732672 |