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Garestier, Franck, Dubois-Fernandez, Pascale, Champion, Isabelle, Le Toan, Thuy (2011) Pine forest investigation using high resolution P-band Pol-InSAR data. Remote Sensing of Environment, 115 (11). 2897-2905 doi:10.1016/j.rse.2010.08.028

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Reference TypeJournal (article/letter/editorial)
TitlePine forest investigation using high resolution P-band Pol-InSAR data
JournalRemote Sensing of Environment
AuthorsGarestier, FranckAuthor
Dubois-Fernandez, PascaleAuthor
Champion, IsabelleAuthor
Le Toan, ThuyAuthor
Year2011 (November)Volume115
Issue11
PublisherElsevier BV
DOIdoi:10.1016/j.rse.2010.08.028Search in ResearchGate
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Mindat Ref. ID9439497Long-form Identifiermindat:1:5:9439497:5
GUID0
Full ReferenceGarestier, Franck, Dubois-Fernandez, Pascale, Champion, Isabelle, Le Toan, Thuy (2011) Pine forest investigation using high resolution P-band Pol-InSAR data. Remote Sensing of Environment, 115 (11). 2897-2905 doi:10.1016/j.rse.2010.08.028
Plain TextGarestier, Franck, Dubois-Fernandez, Pascale, Champion, Isabelle, Le Toan, Thuy (2011) Pine forest investigation using high resolution P-band Pol-InSAR data. Remote Sensing of Environment, 115 (11). 2897-2905 doi:10.1016/j.rse.2010.08.028
In(2011, November) Remote Sensing of Environment Vol. 115 (11) Elsevier BV

See Also

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Garestier, Franck, Dubois-Fernandez, Pascale C., Champion, Isabelle (2008) Forest Height Inversion Using High-Resolution P-Band Pol-InSAR Data. IEEE Transactions on Geoscience and Remote Sensing, 46 (11) 3544-3559 doi:10.1109/tgrs.2008.922032
Garestier, Franck, Le Toan, Thuy (2010) Estimation of the Backscatter Vertical Profile of a Pine Forest Using Single Baseline P-Band (Pol-)InSAR Data. IEEE Transactions on Geoscience and Remote Sensing, 48 (9) 3340-3348 doi:10.1109/tgrs.2010.2046669
Garestier, Franck, Le Toan, Thuy (2010) Forest Modeling For Height Inversion Using Single-Baseline InSAR/Pol-InSAR Data. IEEE Transactions on Geoscience and Remote Sensing, 48 (3) 1528-1539 doi:10.1109/tgrs.2009.2032538
Garestier, Franck, Dubois-Fernandez, Pascale C., Papathanassiou, Konstantinos Panagiotis (2008) Pine Forest Height Inversion Using Single-Pass X-Band PolInSAR Data. IEEE Transactions on Geoscience and Remote Sensing, 46 (1) 59-68 doi:10.1109/tgrs.2007.907602
Garestier, F., Dubois-Fernandez, P.C., Guyon, D., Le Toan, T. (2009) Forest Biophysical Parameter Estimation Using L- and P-Band Polarimetric SAR Data. IEEE Transactions on Geoscience and Remote Sensing, 47 (10) 3379-3388 doi:10.1109/tgrs.2009.2022947
Sandberg, G., Ulander, L.M.H., Fransson, J.E.S., Holmgren, J., Le Toan, T. (2011) L- and P-band backscatter intensity for biomass retrieval in hemiboreal forest. Remote Sensing of Environment, 115 (11). 2874-2886 doi:10.1016/j.rse.2010.03.018
Ho Tong Minh, Dinh, Le Toan, Thuy, Rocca, Fabio, Tebaldini, Stefano, Villard, Ludovic, Réjou-Méchain, Maxime, Phillips, Oliver L., Feldpausch, Ted R., Dubois-Fernandez, Pascale, Scipal, Klaus, Chave, Jérôme (2016) SAR tomography for the retrieval of forest biomass and height: Cross-validation at two tropical forest sites in French Guiana. Remote Sensing of Environment, 175. 138-147 doi:10.1016/j.rse.2015.12.037
Bouvet, Alexandre, Le Toan, Thuy (2011) Use of ENVISAT/ASAR wide-swath data for timely rice fields mapping in the Mekong River Delta. Remote Sensing of Environment, 115 (4). 1090-1101 doi:10.1016/j.rse.2010.12.014
Arai, Hironori, Le Toan, Thuy, Takeuchi, Wataru, Oyoshi, Kei, Fumoto, Tamon, Inubushi, Kazuyuki (2022) Evaluating irrigation status in the Mekong Delta through polarimetric L-band SAR data assimilation. Remote Sensing of Environment, 279. 113139 doi:10.1016/j.rse.2022.113139
Mermoz, Stéphane, Le Toan, Thuy, Villard, Ludovic, Réjou-Méchain, Maxime, Seifert-Granzin, Joerg (2014) Biomass assessment in the Cameroon savanna using ALOS PALSAR data. Remote Sensing of Environment, 155. 109-119 doi:10.1016/j.rse.2014.01.029
Ho Tong Minh, Dinh, Tebaldini, Stefano, Rocca, Fabio, Le Toan, Thuy, Villard, Ludovic, Dubois-Fernandez, Pascale C. (2015) Capabilities of BIOMASS Tomography for Investigating Tropical Forests. IEEE Transactions on Geoscience and Remote Sensing, 53 (2) 965-975 doi:10.1109/tgrs.2014.2331142
 
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