Capabilities of BIOMASS Three-Baseline PolInSAR Mode for the Characterization of Tropical Forests
As the 7th Earth Explorer Mission within the ESA Earth Observation Program, BIOMASS will be the first spaceborne P-band polarimetric interferometric SAR (PolInSAR) mission, dedicated to global forest remote sensing. Compared with airborne PolInSAR, BIOMASS PolInSAR faces several intrinsic limitation...
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IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Online Access: | https://ieeexplore.ieee.org/document/10744206/ |
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| author | Yanzhou Xie Laurent Ferro-Famil Yue Huang Thuy Le Toan Jianjun Zhu Haiqiang Fu Peng Shen |
| author_facet | Yanzhou Xie Laurent Ferro-Famil Yue Huang Thuy Le Toan Jianjun Zhu Haiqiang Fu Peng Shen |
| author_sort | Yanzhou Xie |
| collection | DOAJ |
| description | As the 7th Earth Explorer Mission within the ESA Earth Observation Program, BIOMASS will be the first spaceborne P-band polarimetric interferometric SAR (PolInSAR) mission, dedicated to global forest remote sensing. Compared with airborne PolInSAR, BIOMASS PolInSAR faces several intrinsic limitations, including the reduced number of baselines, low bandwidth of 6 MHz, and the 3-day repeat-pass acquisition mode. In this study, the capabilities of three-baseline PolInSAR in BIOMASS configuration and the spaceborne system-induced impacts are systematically evaluated. First, the BIOMASS data were simulated using the airborne P-band SAR acquisitions collected over two different tropical forests in Paracou, French Guiana, and Mondah, Gabon. Second, the forest height was retrieved using a three-baseline algorithm based on polarimetric coherence optimization with multi-baseline joint diagonalization. Finally, the impacts of spaceborne PolInSAR were quantified and analyzed. The results show that the performance of PolInSAR inversion in the spaceborne configuration decreases compared to that of the original airborne data. However, the three-baseline method still yields acceptable results, with a root-mean-square error ranging from 4.92 to 6.07 m and a correlation coefficient (<italic>R</italic><sup>2</sup>) from 0.32 to 0.85, within hectare-scale forest height statistics. This study demonstrates that the limited bandwidth of BIOMASS has a certain impact on refined forest structure parameter retrieval, while the three-baseline PolInSAR method remains effective for large-scale forest mapping, with accuracy meeting the design requirements of the BIOMASS mission. |
| format | Article |
| id | doaj-art-b57ef6ee223f4547a3e0b6500d776615 |
| institution | Kabale University |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-b57ef6ee223f4547a3e0b6500d7766152024-11-27T00:00:07ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-011839841210.1109/JSTARS.2024.348588210744206Capabilities of BIOMASS Three-Baseline PolInSAR Mode for the Characterization of Tropical ForestsYanzhou Xie0https://orcid.org/0000-0002-1767-2490Laurent Ferro-Famil1https://orcid.org/0000-0002-2036-6232Yue Huang2Thuy Le Toan3Jianjun Zhu4https://orcid.org/0000-0001-7185-6429Haiqiang Fu5https://orcid.org/0000-0003-2306-8721Peng Shen6https://orcid.org/0000-0002-6691-1398School of Geosciences and Info-Physics, Central South University, Changsha, ChinaISAE-Supaero and CESBIO, University of Toulouse, Toulouse, FranceDSO/CMR/DEP, Météo France, Toulouse, FranceCESBIO, University of Toulouse and the GlobEO-Global Earth Observation, Toulouse, FranceSchool of Geosciences and Info-Physics, Central South University, Changsha, ChinaSchool of Geosciences and Info-Physics, Central South University, Changsha, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaAs the 7th Earth Explorer Mission within the ESA Earth Observation Program, BIOMASS will be the first spaceborne P-band polarimetric interferometric SAR (PolInSAR) mission, dedicated to global forest remote sensing. Compared with airborne PolInSAR, BIOMASS PolInSAR faces several intrinsic limitations, including the reduced number of baselines, low bandwidth of 6 MHz, and the 3-day repeat-pass acquisition mode. In this study, the capabilities of three-baseline PolInSAR in BIOMASS configuration and the spaceborne system-induced impacts are systematically evaluated. First, the BIOMASS data were simulated using the airborne P-band SAR acquisitions collected over two different tropical forests in Paracou, French Guiana, and Mondah, Gabon. Second, the forest height was retrieved using a three-baseline algorithm based on polarimetric coherence optimization with multi-baseline joint diagonalization. Finally, the impacts of spaceborne PolInSAR were quantified and analyzed. The results show that the performance of PolInSAR inversion in the spaceborne configuration decreases compared to that of the original airborne data. However, the three-baseline method still yields acceptable results, with a root-mean-square error ranging from 4.92 to 6.07 m and a correlation coefficient (<italic>R</italic><sup>2</sup>) from 0.32 to 0.85, within hectare-scale forest height statistics. This study demonstrates that the limited bandwidth of BIOMASS has a certain impact on refined forest structure parameter retrieval, while the three-baseline PolInSAR method remains effective for large-scale forest mapping, with accuracy meeting the design requirements of the BIOMASS mission.https://ieeexplore.ieee.org/document/10744206/6-MHz bandwidthBIOMASS missionnon-volume decorrelationP-bandthree-baseline polarimetric interferometric SAR (PolInSAR)tropical forest height |
| spellingShingle | Yanzhou Xie Laurent Ferro-Famil Yue Huang Thuy Le Toan Jianjun Zhu Haiqiang Fu Peng Shen Capabilities of BIOMASS Three-Baseline PolInSAR Mode for the Characterization of Tropical Forests IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6-MHz bandwidth BIOMASS mission non-volume decorrelation P-band three-baseline polarimetric interferometric SAR (PolInSAR) tropical forest height |
| title | Capabilities of BIOMASS Three-Baseline PolInSAR Mode for the Characterization of Tropical Forests |
| title_full | Capabilities of BIOMASS Three-Baseline PolInSAR Mode for the Characterization of Tropical Forests |
| title_fullStr | Capabilities of BIOMASS Three-Baseline PolInSAR Mode for the Characterization of Tropical Forests |
| title_full_unstemmed | Capabilities of BIOMASS Three-Baseline PolInSAR Mode for the Characterization of Tropical Forests |
| title_short | Capabilities of BIOMASS Three-Baseline PolInSAR Mode for the Characterization of Tropical Forests |
| title_sort | capabilities of biomass three baseline polinsar mode for the characterization of tropical forests |
| topic | 6-MHz bandwidth BIOMASS mission non-volume decorrelation P-band three-baseline polarimetric interferometric SAR (PolInSAR) tropical forest height |
| url | https://ieeexplore.ieee.org/document/10744206/ |
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