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...

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Published in:IEEE Geoscience and Remote Sensing Letters
Main Authors: Blomberg, Erik, Ferro-Famil, L., Soja, Maciej, Ulander, Lars, Tebaldini, S.
Language:unknown
Published: 2018
Subjects:
Online Access:https://doi.org/10.1109/LGRS.2018.2819884
https://research.chalmers.se/en/publication/504038
id ftchalmersuniv:oai:research.chalmers.se:504038
record_format openpolar
spelling 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
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