Articles | Volume 13, issue 19
https://doi.org/10.5194/bg-13-5453-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-13-5453-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Can C-band synthetic aperture radar be used to estimate soil organic carbon storage in tundra?
Zentralanstalt für Meteorologie und Geodynamik, 1190 Vienna, Austria
Vienna University of Technology, 1040 Vienna, Austria
Barbara Widhalm
Zentralanstalt für Meteorologie und Geodynamik, 1190 Vienna, Austria
Vienna University of Technology, 1040 Vienna, Austria
Peter Kuhry
Stockholm University, Department of Physical Geography, 106 91 Stockholm, Sweden
Gustaf Hugelius
Stockholm University, Department of Physical Geography, 106 91 Stockholm, Sweden
Juri Palmtag
Stockholm University, Department of Physical Geography, 106 91 Stockholm, Sweden
Matthias Benjamin Siewert
Stockholm University, Department of Physical Geography, 106 91 Stockholm, Sweden
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Cited
34 citations as recorded by crossref.
- Modeling of soil organic matter using Sentinel-1 SAR and partial least squares (PLS) regression M. Duarte et al. 10.1007/s12517-023-11844-w
- Ensemble Machine Learning Approach Improves Predicted Spatial Variation of Surface Soil Organic Carbon Stocks in Data-Limited Northern Circumpolar Region U. Mishra et al. 10.3389/fdata.2020.528441
- Estimation of Soil Organic Carbon Content in the Ebinur Lake Wetland, Xinjiang, China, Based on Multisource Remote Sensing Data and Ensemble Learning Algorithms B. Xie et al. 10.3390/s22072685
- Feasibility of tundra vegetation height retrieval from Sentinel-1 and Sentinel-2 data A. Bartsch et al. 10.1016/j.rse.2019.111515
- Reviews and syntheses: Recent advances in microwave remote sensing in support of terrestrial carbon cycle science in Arctic–boreal regions A. Mavrovic et al. 10.5194/bg-20-2941-2023
- The SMAP Level 4 Carbon Product for Monitoring Ecosystem Land–Atmosphere CO2 Exchange L. Jones et al. 10.1109/TGRS.2017.2729343
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- Early Warning from Space for a Few Key Tipping Points in Physical, Biological, and Social-Ecological Systems D. Swingedouw et al. 10.1007/s10712-020-09604-6
- Monitoring permafrost changes in central Yakutia using optical and polarimetric SAR data S. Park et al. 10.1016/j.rse.2022.112989
- ALOS-2 L-band SAR backscatter data improves the estimation and temporal transferability of wildfire effects on soil properties under different post-fire vegetation responses J. Fernández-Guisuraga et al. 10.1016/j.scitotenv.2022.156852
- Mapping Surface Organic Soil Properties in Arctic Tundra Using C-Band SAR Data Y. Yi et al. 10.1109/JSTARS.2023.3236117
- Utilisation of spaceborne C-band dual pol Sentinel-1 SAR data for simplified regression-based soil organic carbon estimation in Rupnagar, Punjab, India A. Tripathi & R. Tiwari 10.1016/j.asr.2021.08.007
- Permafrost Monitoring from Space A. Bartsch et al. 10.1007/s10712-023-09770-3
- Quantitative and Qualitative Composition of Soil Organic Matter in Samples of Ice Complex from Central Yakutia, Eastern Siberia A. Shepelev et al. 10.1155/2018/9302743
- Development of the global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M) Z. Zhang et al. 10.5194/essd-13-2001-2021
- High resolution mapping shows differences in soil carbon and nitrogen stocks in areas of varying landscape history in Canadian lowland tundra J. Wagner et al. 10.1016/j.geoderma.2023.116652
- InSAR-measured permafrost degradation of palsa peatlands in northern Sweden S. Valman et al. 10.5194/tc-18-1773-2024
- Simplified Normalization of C-Band Synthetic Aperture Radar Data for Terrestrial Applications in High Latitude Environments B. Widhalm et al. 10.3390/rs10040551
- High-resolution digital mapping of soil organic carbon in permafrost terrain using machine learning: a case study in a sub-Arctic peatland environment M. Siewert 10.5194/bg-15-1663-2018
- Mapping of Soil Total Nitrogen Content in the Middle Reaches of the Heihe River Basin in China Using Multi-Source Remote Sensing-Derived Variables T. Zhou et al. 10.3390/rs11242934
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- Northern Hemisphere permafrost map based on TTOP modelling for 2000–2016 at 1 km2 scale J. Obu et al. 10.1016/j.earscirev.2019.04.023
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- Arctic Tundra Land Cover Classification on the Beaufort Coast Using the Kennaugh Element Framework on Dual-Polarimetric TerraSAR-X Imagery W. A’Campo et al. 10.3390/rs13234780
- Sentinel-1 Imagery Used for Estimation of Soil Organic Carbon by Dual-Polarization SAR Vegetation Indices E. Santos et al. 10.3390/rs15235464
- Seasonal Progression of Ground Displacement Identified with Satellite Radar Interferometry and the Impact of Unusually Warm Conditions on Permafrost at the Yamal Peninsula in 2016 A. Bartsch et al. 10.3390/rs11161865
- Mapping soil organic carbon content using multi-source remote sensing variables in the Heihe River Basin in China T. Zhou et al. 10.1016/j.ecolind.2020.106288
- Landform partitioning and estimates of deep storage of soil organic matter in Zackenberg, Greenland J. Palmtag et al. 10.5194/tc-12-1735-2018
- Large scale mapping of soil organic carbon concentration with 3D machine learning and satellite observations C. Sothe et al. 10.1016/j.geoderma.2021.115402
- Lake surface area expansion: Insights into the role of volcano-tectonic processes, Lake Beseka, East Africa E. Gebremichael et al. 10.1016/j.ejrh.2022.101093
- Permafrost carbon emissions in a changing Arctic K. Miner et al. 10.1038/s43017-021-00230-3
- Land Cover Mapping in Northern High Latitude Permafrost Regions with Satellite Data: Achievements and Remaining Challenges A. Bartsch et al. 10.3390/rs8120979
33 citations as recorded by crossref.
- Modeling of soil organic matter using Sentinel-1 SAR and partial least squares (PLS) regression M. Duarte et al. 10.1007/s12517-023-11844-w
- Ensemble Machine Learning Approach Improves Predicted Spatial Variation of Surface Soil Organic Carbon Stocks in Data-Limited Northern Circumpolar Region U. Mishra et al. 10.3389/fdata.2020.528441
- Estimation of Soil Organic Carbon Content in the Ebinur Lake Wetland, Xinjiang, China, Based on Multisource Remote Sensing Data and Ensemble Learning Algorithms B. Xie et al. 10.3390/s22072685
- Feasibility of tundra vegetation height retrieval from Sentinel-1 and Sentinel-2 data A. Bartsch et al. 10.1016/j.rse.2019.111515
- Reviews and syntheses: Recent advances in microwave remote sensing in support of terrestrial carbon cycle science in Arctic–boreal regions A. Mavrovic et al. 10.5194/bg-20-2941-2023
- The SMAP Level 4 Carbon Product for Monitoring Ecosystem Land–Atmosphere CO2 Exchange L. Jones et al. 10.1109/TGRS.2017.2729343
- Circumarctic land cover diversity considering wetness gradients A. Bartsch et al. 10.5194/hess-28-2421-2024
- Characterizing permafrost active layer dynamics and sensitivity to landscape spatial heterogeneity in Alaska Y. Yi et al. 10.5194/tc-12-145-2018
- Early Warning from Space for a Few Key Tipping Points in Physical, Biological, and Social-Ecological Systems D. Swingedouw et al. 10.1007/s10712-020-09604-6
- Monitoring permafrost changes in central Yakutia using optical and polarimetric SAR data S. Park et al. 10.1016/j.rse.2022.112989
- ALOS-2 L-band SAR backscatter data improves the estimation and temporal transferability of wildfire effects on soil properties under different post-fire vegetation responses J. Fernández-Guisuraga et al. 10.1016/j.scitotenv.2022.156852
- Mapping Surface Organic Soil Properties in Arctic Tundra Using C-Band SAR Data Y. Yi et al. 10.1109/JSTARS.2023.3236117
- Utilisation of spaceborne C-band dual pol Sentinel-1 SAR data for simplified regression-based soil organic carbon estimation in Rupnagar, Punjab, India A. Tripathi & R. Tiwari 10.1016/j.asr.2021.08.007
- Permafrost Monitoring from Space A. Bartsch et al. 10.1007/s10712-023-09770-3
- Quantitative and Qualitative Composition of Soil Organic Matter in Samples of Ice Complex from Central Yakutia, Eastern Siberia A. Shepelev et al. 10.1155/2018/9302743
- Development of the global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M) Z. Zhang et al. 10.5194/essd-13-2001-2021
- High resolution mapping shows differences in soil carbon and nitrogen stocks in areas of varying landscape history in Canadian lowland tundra J. Wagner et al. 10.1016/j.geoderma.2023.116652
- InSAR-measured permafrost degradation of palsa peatlands in northern Sweden S. Valman et al. 10.5194/tc-18-1773-2024
- Simplified Normalization of C-Band Synthetic Aperture Radar Data for Terrestrial Applications in High Latitude Environments B. Widhalm et al. 10.3390/rs10040551
- High-resolution digital mapping of soil organic carbon in permafrost terrain using machine learning: a case study in a sub-Arctic peatland environment M. Siewert 10.5194/bg-15-1663-2018
- Mapping of Soil Total Nitrogen Content in the Middle Reaches of the Heihe River Basin in China Using Multi-Source Remote Sensing-Derived Variables T. Zhou et al. 10.3390/rs11242934
- Circumpolar patterns of potential mean annual ground temperature based on surface state obtained from microwave satellite data C. Kroisleitner et al. 10.5194/tc-12-2349-2018
- Northern Hemisphere permafrost map based on TTOP modelling for 2000–2016 at 1 km2 scale J. Obu et al. 10.1016/j.earscirev.2019.04.023
- Degradation of ice-wedge polygons leads to increased fluxes of water and DOC N. Speetjens et al. 10.1016/j.scitotenv.2024.170931
- Active-layer thickness estimation from X-band SAR backscatter intensity B. Widhalm et al. 10.5194/tc-11-483-2017
- Arctic Tundra Land Cover Classification on the Beaufort Coast Using the Kennaugh Element Framework on Dual-Polarimetric TerraSAR-X Imagery W. A’Campo et al. 10.3390/rs13234780
- Sentinel-1 Imagery Used for Estimation of Soil Organic Carbon by Dual-Polarization SAR Vegetation Indices E. Santos et al. 10.3390/rs15235464
- Seasonal Progression of Ground Displacement Identified with Satellite Radar Interferometry and the Impact of Unusually Warm Conditions on Permafrost at the Yamal Peninsula in 2016 A. Bartsch et al. 10.3390/rs11161865
- Mapping soil organic carbon content using multi-source remote sensing variables in the Heihe River Basin in China T. Zhou et al. 10.1016/j.ecolind.2020.106288
- Landform partitioning and estimates of deep storage of soil organic matter in Zackenberg, Greenland J. Palmtag et al. 10.5194/tc-12-1735-2018
- Large scale mapping of soil organic carbon concentration with 3D machine learning and satellite observations C. Sothe et al. 10.1016/j.geoderma.2021.115402
- Lake surface area expansion: Insights into the role of volcano-tectonic processes, Lake Beseka, East Africa E. Gebremichael et al. 10.1016/j.ejrh.2022.101093
- Permafrost carbon emissions in a changing Arctic K. Miner et al. 10.1038/s43017-021-00230-3
Latest update: 06 Oct 2024
Short summary
A new approach for the estimation of soil organic carbon (SOC) pools north of the tree line has been developed based on synthetic aperture radar (SAR) data from the ENVISAT satellite. It can be shown that measurements of C-band SAR under frozen conditions represent vegetation and surface structure properties which relate to soil properties, specifically SOC. The approach provides the first spatially consistent account of soil organic carbon across the Arctic.
A new approach for the estimation of soil organic carbon (SOC) pools north of the tree line has...
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