收稿：2019-10-21，
录用：2020-04-16，
纸质出版：2020-06-07
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This paper is intended to report on the progresses made during the Dragon-4 project Three and Four-Dimensional Topographic Measurement and Validation (ID: 32278)
sub-project Multi-baseline SAR Processing for 3D/4D reconstruction (ID: 32278_2). The work here reported focuses on two important aspects of SAR remote sensing of tropical forests
namely the retrieval of forest biomass and the assessment of effects due to changing weather conditions. Recent studies have shown that by using SAR tomography the backscattered power at 30 m layer above the ground is linearly correlated to the forest AGB (Above Ground Biomass). However
the two parameters that determine this linear relationship might vary for different tropical forest sites. For purpose of solving this problem
we investigate the possibility of using LiDAR derived AGB to help training the two parameters. Experimental results obtained by processing data from the TropiSAR campaign support the feasibility of the proposed concept. This analysis is complemented by an assessment of the impact of changing weather conditions on tomographic imaging
for which we simulate BIOMASS repeat pass tomography using ground-based TropiSCAT data with revisit time of 3 days and rainy days included. The resulting backscattered power variation at 30 m are within 1.5 dB. For this forest site
this error is translated into an AGB error of about 50-80 ton/ha
which is 20% or less of forest AGB.
SaatchiS. S. , HarrisN. L. , BrownS. , et al ., " Benchmark map of forest carbon stocks in tropical regions across three continents ," Proceedings of the National Academy of Sciences. , vol. 108 , no. 24 , pp. 9899 - 9904 , Jun. 2011 .
PanY. , BirdseyR. A. , FangJ. , et al ., " A large and persistent carbon sink in the world's forests , Science ", vol. 333 , no. 6045 , pp. 988 - 993 , Aug. 2011 .
Le ToanT. , QueganS. , DavidsonM. , BalzterH. , PaillouP. , PapathanassiouK. , PlummerS. , RoccaF. , SaatchiS. , ShugartH. , and UlanderL ., " The BIOMASS mission: Mapping global forest biomass to better understand the terrestrial carbon cycle," Remote Sens . Environ. , vol. 115 , no. 11 , pp. 2850 – 2860 , Nov. 2011 .
ESA 2012 , Report for mission selection: biomass, Noordwijk , The Netherlands , 2012.
D. Ho Tong Minhet al., "Relating P-band synthetic aperture radar tomography to tropical forest biomass," IEEE Trans. Geosci . Remote Sens. , vol. 52 , no. 2 , pp. 967 – 979 , Feb. 2014 .
Ho Tong MinhD. , Le ToanT. , RoccaF. , TebaldiniS. , VillardL. , Re ́jou-Me ́chainM. , PhillipsO. L. , Feld- pauschT. R. , Dubois-FernandezP. , ScipalK . et al ., "SAR tomography for the retrieval of forest biomass and height: Cross-validation at two tropical forest sites in French Guiana," SensRemote. Environ. vol. 175 , pp. 138 – 147 , Mar. 2016.
Dubois-FernandezP. C. , Le ToanT. , DanielS. , OriotH. , ChaveJ. , BlancL. , VillardL. , DavidsonM . W. J., and PetitM., " The TropiSAR airborne campaign in French Guiana: Objectives , description, and observed temporal behavio r of the backscatter signal," IEEE Trans. Geosci. Remote Sens., vol. 50 , no. 8 , pp. 3228 – 3241 , Aug. 2012 .
Reigber and AA. . Moreira , " First demonstration of airborne SAR tomography using multibaseline L-band data," IEEE Trans . Geosci . Remote Sens. , vol. 38 , no. 5 , pp. 2142 – 2152 , Sep. 2000 .
GiniF. , LombardiniF. , and MontanariM ., " Layover solution in multibaseline SAR interferometry ," IEEE Trans . Aerosp. Electron. Syst., vol. 38 , no. 4 , pp. 1344 – 1356 , Oct. 2002 .
FreyO. , MagnardC. , Ruegg and EM. . Meier , " Focusing of Airborne Synthetic Aperture Radar Data From Highly Nonlinear Flight Tracks," IEEE Trans . Geosci . Remote Sens. , vol. 47 , no. 6 , pp. 1844 - 1858 , Jun. 2009 .
Tebaldini S. , Nagler T. , Rott H. , Heilig A. , Imaging the Internal Structure of an Alpine Glacier via L-Band Airborne SAR Tomography , 2016 ) IEEE Transactions on Geoscience and Remote Sensing, 54 ( 12 , pp. 7197 - 7209 , Dec. 2016.
Tebaldini and AS. . Guarnieri , " On the role of phase stability in SAR multibaseline applications," IEEE Trans . Geosci . Remote Sens. , vol. 48 , no. 7 , pp. 2953 – 2966 , Jul. 2010 .
TebaldiniS. , RoccaF. , Mariotti d'AlessandroM. , and Ferro-FamilL ., " Phase calibration of airborne tomographic SAR data via phase center double localization," IEEE Trans. Geosci . Remote Sens. , vol. 54 , no. 3 , pp. 1775 – 1792 , Mar. 2016 .
Ho Tong MinhD. , TebaldiniS. , RoccaF. , KoleckT. , BorderiesP. , AlbinetC. , VillardL. , HamadiA. , and Le ToanT ., " Ground-based array for tomographic imaging of the tropical forest in P-band," IEEE Trans. Geosci . Remote Sens. , vol. 51 , no. 8 , pp. 4460 – 4472 , Mar. 2013 .
Ho Tong MinhD. , TebaldiniS. , RoccaF. , Le ToanT. , BorderiesP. , KoleckT. , AlbinetC. , HamadiA. , and VillardL ., " Vertical structure of p-band temporal decorrelation at the paracou forest: Results from tropiscat," IEEE Geosci. and Remote Sens . Lett. , vol. 11 , no. 8 , pp. 1438 – 1442 , Aug. 2014 .
YangX. , D'AlessandroM. M. , TebaldiniS. , M . Liao "Relating Sar Tomography to Tropical Forest Biomass via Lidar Data", IGARSS 18 , Valencia , 2018.
BaiY. , TebaldiniS. , Minh WD . H . T.. Yang , "An Empirical Study on the Impact of Changing Weather Conditions on Repeat-Pass SAR Tomography," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi: 10.1109/JSTARS.2018.2818796 http://dx.doi.org/10.1109/JSTARS.2018.2818796
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