Forest Biomass Retrieval from L-Band SAR Using Tomographic Ground Backscatter Removal
A tomographic synthetic aperture radar (TomoSAR) represents a possible route to improved retrievals of forest parameters. Simulated orbital L-band TomoSAR data corresponding to the proposed Satellites for Observation and Communications-Companion Satellite (SAOCOM-CS) mission (1.275 GHz) are evaluate...
Published in: | IEEE Geoscience and Remote Sensing Letters |
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Online Access: | https://doi.org/10.1109/LGRS.2018.2819884 https://research.chalmers.se/en/publication/504038 |
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ftchalmersuniv:oai:research.chalmers.se:504038 2023-05-15T17:44:45+02:00 Forest Biomass Retrieval from L-Band SAR Using Tomographic Ground Backscatter Removal Blomberg, Erik Ferro-Famil, L. Soja, Maciej Ulander, Lars Tebaldini, S. 2018 text https://doi.org/10.1109/LGRS.2018.2819884 https://research.chalmers.se/en/publication/504038 unknown http://dx.doi.org/10.1109/LGRS.2018.2819884 https://research.chalmers.se/en/publication/504038 Remote Sensing Geophysics Physical Geography tomography L-band Satellites for Observation and Communications-Companion Satellite (SAOCOM-CS) Biomass boreal forest 2018 ftchalmersuniv https://doi.org/10.1109/LGRS.2018.2819884 2022-12-11T07:08:50Z A tomographic synthetic aperture radar (TomoSAR) represents a possible route to improved retrievals of forest parameters. Simulated orbital L-band TomoSAR data corresponding to the proposed Satellites for Observation and Communications-Companion Satellite (SAOCOM-CS) mission (1.275 GHz) are evaluated for retrieval of above-ground biomass in boreal forest. L-band data and biomass measurements, collected at the Krycklan test site in northern Sweden as part of the BioSAR 2008 campaign, are used to compare biomass retrievals from SAOCOM-CS to those based on SAOCOM SAR data. Both data sets are in turn compared with the corresponding airborne case, as represented by experimental airborne SAR through processing of the original SAR data. TomoSAR retrievals use a model involving a logarithmic transform of the volumetric backscatter intensity, Ivol, defined as the total backscatter originating between 10 and 30 m above ground. SAR retrievals are obtained with slope-compensated intensity γ0using the same model. It is concluded that tomography using SAOCOM-CS represents an improvement over an airborne SAR imagery, resulting in biomass retrievals from a single polarization (HH) having a 26%-30% root-mean-square error with a little to no impact from the look direction or the local topography. Other/Unknown Material Northern Sweden Chalmers University of Technology: Chalmers research IEEE Geoscience and Remote Sensing Letters 15 7 1030 1034 |
institution |
Open Polar |
collection |
Chalmers University of Technology: Chalmers research |
op_collection_id |
ftchalmersuniv |
language |
unknown |
topic |
Remote Sensing Geophysics Physical Geography tomography L-band Satellites for Observation and Communications-Companion Satellite (SAOCOM-CS) Biomass boreal forest |
spellingShingle |
Remote Sensing Geophysics Physical Geography tomography L-band Satellites for Observation and Communications-Companion Satellite (SAOCOM-CS) Biomass boreal forest Blomberg, Erik Ferro-Famil, L. Soja, Maciej Ulander, Lars Tebaldini, S. Forest Biomass Retrieval from L-Band SAR Using Tomographic Ground Backscatter Removal |
topic_facet |
Remote Sensing Geophysics Physical Geography tomography L-band Satellites for Observation and Communications-Companion Satellite (SAOCOM-CS) Biomass boreal forest |
description |
A tomographic synthetic aperture radar (TomoSAR) represents a possible route to improved retrievals of forest parameters. Simulated orbital L-band TomoSAR data corresponding to the proposed Satellites for Observation and Communications-Companion Satellite (SAOCOM-CS) mission (1.275 GHz) are evaluated for retrieval of above-ground biomass in boreal forest. L-band data and biomass measurements, collected at the Krycklan test site in northern Sweden as part of the BioSAR 2008 campaign, are used to compare biomass retrievals from SAOCOM-CS to those based on SAOCOM SAR data. Both data sets are in turn compared with the corresponding airborne case, as represented by experimental airborne SAR through processing of the original SAR data. TomoSAR retrievals use a model involving a logarithmic transform of the volumetric backscatter intensity, Ivol, defined as the total backscatter originating between 10 and 30 m above ground. SAR retrievals are obtained with slope-compensated intensity γ0using the same model. It is concluded that tomography using SAOCOM-CS represents an improvement over an airborne SAR imagery, resulting in biomass retrievals from a single polarization (HH) having a 26%-30% root-mean-square error with a little to no impact from the look direction or the local topography. |
author |
Blomberg, Erik Ferro-Famil, L. Soja, Maciej Ulander, Lars Tebaldini, S. |
author_facet |
Blomberg, Erik Ferro-Famil, L. Soja, Maciej Ulander, Lars Tebaldini, S. |
author_sort |
Blomberg, Erik |
title |
Forest Biomass Retrieval from L-Band SAR Using Tomographic Ground Backscatter Removal |
title_short |
Forest Biomass Retrieval from L-Band SAR Using Tomographic Ground Backscatter Removal |
title_full |
Forest Biomass Retrieval from L-Band SAR Using Tomographic Ground Backscatter Removal |
title_fullStr |
Forest Biomass Retrieval from L-Band SAR Using Tomographic Ground Backscatter Removal |
title_full_unstemmed |
Forest Biomass Retrieval from L-Band SAR Using Tomographic Ground Backscatter Removal |
title_sort |
forest biomass retrieval from l-band sar using tomographic ground backscatter removal |
publishDate |
2018 |
url |
https://doi.org/10.1109/LGRS.2018.2819884 https://research.chalmers.se/en/publication/504038 |
genre |
Northern Sweden |
genre_facet |
Northern Sweden |
op_relation |
http://dx.doi.org/10.1109/LGRS.2018.2819884 https://research.chalmers.se/en/publication/504038 |
op_doi |
https://doi.org/10.1109/LGRS.2018.2819884 |
container_title |
IEEE Geoscience and Remote Sensing Letters |
container_volume |
15 |
container_issue |
7 |
container_start_page |
1030 |
op_container_end_page |
1034 |
_version_ |
1766147029216526336 |