Evaluating P-Band TomoSAR for Biomass Retrieval in Boreal Forest
International audience P-band synthetic aperture radar (SAR) is sensitive to above-ground biomass (AGB) but retrieval accuracy has been shown to deteriorate in topographic areas. In boreal forest, the signal penetrates through the canopy to interact with the ground producing variations in backscatte...
Published in: | IEEE Transactions on Geoscience and Remote Sensing |
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Online Access: | https://hal.science/hal-03244879 https://hal.science/hal-03244879/document https://hal.science/hal-03244879/file/Evaluating_P-Band_TomoSAR_for_Biomass_Retrieval_in_Boreal_Forest.pdf https://doi.org/10.1109/TGRS.2020.3020775 |
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ftunivrennes1hal:oai:HAL:hal-03244879v1 2024-05-19T07:46:10+00:00 Evaluating P-Band TomoSAR for Biomass Retrieval in Boreal Forest Blomberg, Erik Ulander, Lars M. H. Tebaldini, Stefano Ferro-Famil, Laurent Chalmers University of Technology Göteborg Politecn Milan, LNESS Dipartimento Fis, I-22100 Como, Italy Institut d'Électronique et des Technologies du numéRique (IETR) Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes) Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS) European Space Agency through BIOMASS L2 Implementation Study 4000119231 2021-05 https://hal.science/hal-03244879 https://hal.science/hal-03244879/document https://hal.science/hal-03244879/file/Evaluating_P-Band_TomoSAR_for_Biomass_Retrieval_in_Boreal_Forest.pdf https://doi.org/10.1109/TGRS.2020.3020775 en eng HAL CCSD Institute of Electrical and Electronics Engineers info:eu-repo/semantics/altIdentifier/doi/10.1109/TGRS.2020.3020775 hal-03244879 https://hal.science/hal-03244879 https://hal.science/hal-03244879/document https://hal.science/hal-03244879/file/Evaluating_P-Band_TomoSAR_for_Biomass_Retrieval_in_Boreal_Forest.pdf doi:10.1109/TGRS.2020.3020775 info:eu-repo/semantics/OpenAccess ISSN: 0196-2892 IEEE Transactions on Geoscience and Remote Sensing https://hal.science/hal-03244879 IEEE Transactions on Geoscience and Remote Sensing, 2021, 59 (5), pp.3793-3804. ⟨10.1109/TGRS.2020.3020775⟩ Biomass boreal forest P-band tomography [SPI]Engineering Sciences [physics] info:eu-repo/semantics/article Journal articles 2021 ftunivrennes1hal https://doi.org/10.1109/TGRS.2020.3020775 2024-04-25T00:00:31Z International audience P-band synthetic aperture radar (SAR) is sensitive to above-ground biomass (AGB) but retrieval accuracy has been shown to deteriorate in topographic areas. In boreal forest, the signal penetrates through the canopy to interact with the ground producing variations in backscatter depending on ground topography, forest structure, and soil moisture. Tomographic processing of multiple SAR images Tomographic SAR (TomoSAR) provides information about the vertical backscatter distribution. This article evaluates the use of P-band TomoSAR data to improve AGB retrievals from backscattered intensity by suppressing the backscattered signal from the ground. This approach can be used even when the tomographic resolution is insufficient to resolve the vertical backscatter profile. The analysis is based on P-band data from two campaigns: BioSAR-1 (2007) in Remingstorp, southern Sweden, and BioSAR-2 (2008) in Krycklan (KR), northern Sweden. BioSAR airborne data were also processed to correspond as closely as possible to future BIOMASS TomoSAR acquisitions, with BioSAR-2-based results shown. A power law AGB model using volumetric HV polarized backscatter performs best in KR, with training residual root mean-squared error (RMSE) of 30%-36% (27-33 t/ha) for airborne data and 38%-39% for simulated BIOMASS data. Airborne TomoSAR data suggest that both vertical and horizontal tomographic resolution are of importance and that it is possible to greatly reduce AGB retrieval bias when compared with airborne P-band SAR backscatter intensity-based retrievals. A lack of significant ground slopes in Remningstorp reduces the benefit of using TomoSAR data which performs similar to retrievals based solely on P-band SAR backscatter intensity. Article in Journal/Newspaper Northern Sweden Université de Rennes 1: Publications scientifiques (HAL) IEEE Transactions on Geoscience and Remote Sensing 59 5 3793 3804 |
institution |
Open Polar |
collection |
Université de Rennes 1: Publications scientifiques (HAL) |
op_collection_id |
ftunivrennes1hal |
language |
English |
topic |
Biomass boreal forest P-band tomography [SPI]Engineering Sciences [physics] |
spellingShingle |
Biomass boreal forest P-band tomography [SPI]Engineering Sciences [physics] Blomberg, Erik Ulander, Lars M. H. Tebaldini, Stefano Ferro-Famil, Laurent Evaluating P-Band TomoSAR for Biomass Retrieval in Boreal Forest |
topic_facet |
Biomass boreal forest P-band tomography [SPI]Engineering Sciences [physics] |
description |
International audience P-band synthetic aperture radar (SAR) is sensitive to above-ground biomass (AGB) but retrieval accuracy has been shown to deteriorate in topographic areas. In boreal forest, the signal penetrates through the canopy to interact with the ground producing variations in backscatter depending on ground topography, forest structure, and soil moisture. Tomographic processing of multiple SAR images Tomographic SAR (TomoSAR) provides information about the vertical backscatter distribution. This article evaluates the use of P-band TomoSAR data to improve AGB retrievals from backscattered intensity by suppressing the backscattered signal from the ground. This approach can be used even when the tomographic resolution is insufficient to resolve the vertical backscatter profile. The analysis is based on P-band data from two campaigns: BioSAR-1 (2007) in Remingstorp, southern Sweden, and BioSAR-2 (2008) in Krycklan (KR), northern Sweden. BioSAR airborne data were also processed to correspond as closely as possible to future BIOMASS TomoSAR acquisitions, with BioSAR-2-based results shown. A power law AGB model using volumetric HV polarized backscatter performs best in KR, with training residual root mean-squared error (RMSE) of 30%-36% (27-33 t/ha) for airborne data and 38%-39% for simulated BIOMASS data. Airborne TomoSAR data suggest that both vertical and horizontal tomographic resolution are of importance and that it is possible to greatly reduce AGB retrieval bias when compared with airborne P-band SAR backscatter intensity-based retrievals. A lack of significant ground slopes in Remningstorp reduces the benefit of using TomoSAR data which performs similar to retrievals based solely on P-band SAR backscatter intensity. |
author2 |
Chalmers University of Technology Göteborg Politecn Milan, LNESS Dipartimento Fis, I-22100 Como, Italy Institut d'Électronique et des Technologies du numéRique (IETR) Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes) Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS) European Space Agency through BIOMASS L2 Implementation Study 4000119231 |
format |
Article in Journal/Newspaper |
author |
Blomberg, Erik Ulander, Lars M. H. Tebaldini, Stefano Ferro-Famil, Laurent |
author_facet |
Blomberg, Erik Ulander, Lars M. H. Tebaldini, Stefano Ferro-Famil, Laurent |
author_sort |
Blomberg, Erik |
title |
Evaluating P-Band TomoSAR for Biomass Retrieval in Boreal Forest |
title_short |
Evaluating P-Band TomoSAR for Biomass Retrieval in Boreal Forest |
title_full |
Evaluating P-Band TomoSAR for Biomass Retrieval in Boreal Forest |
title_fullStr |
Evaluating P-Band TomoSAR for Biomass Retrieval in Boreal Forest |
title_full_unstemmed |
Evaluating P-Band TomoSAR for Biomass Retrieval in Boreal Forest |
title_sort |
evaluating p-band tomosar for biomass retrieval in boreal forest |
publisher |
HAL CCSD |
publishDate |
2021 |
url |
https://hal.science/hal-03244879 https://hal.science/hal-03244879/document https://hal.science/hal-03244879/file/Evaluating_P-Band_TomoSAR_for_Biomass_Retrieval_in_Boreal_Forest.pdf https://doi.org/10.1109/TGRS.2020.3020775 |
genre |
Northern Sweden |
genre_facet |
Northern Sweden |
op_source |
ISSN: 0196-2892 IEEE Transactions on Geoscience and Remote Sensing https://hal.science/hal-03244879 IEEE Transactions on Geoscience and Remote Sensing, 2021, 59 (5), pp.3793-3804. ⟨10.1109/TGRS.2020.3020775⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1109/TGRS.2020.3020775 hal-03244879 https://hal.science/hal-03244879 https://hal.science/hal-03244879/document https://hal.science/hal-03244879/file/Evaluating_P-Band_TomoSAR_for_Biomass_Retrieval_in_Boreal_Forest.pdf doi:10.1109/TGRS.2020.3020775 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1109/TGRS.2020.3020775 |
container_title |
IEEE Transactions on Geoscience and Remote Sensing |
container_volume |
59 |
container_issue |
5 |
container_start_page |
3793 |
op_container_end_page |
3804 |
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