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Biomass change in disturbed, secondary, and primary tropical forests from TanDEM-X.

, , , , and . IGARSS, page 329-331. IEEE, (2016)

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Digital Height Modeling (DHM) of Tropical Forests using Multi-frequency InSAR Methodology., , , , , , and . IGARSS, page 2190-2192. IEEE, (2006)Assessment of digital elevation models obtained in Brazilian Amazon based on P and X band airborne interferometric data., , , , , , , , , and . IGARSS, page 3617-3619. IEEE, (2002)Sensitivity of ALOS/PALSAR imagery to forest degradation by fire in northern Amazon., , , and . Int. J. Appl. Earth Obs. Geoinformation, (2016)Radarsat-2 Backscattering for the Modeling of Biophysical Parameters of Regenerating Mangrove Forests., , , , , , , and . Remote. Sens., 7 (12): 17097-17112 (2015)SAR Interferometric Approaches for the Analysis of Structural Forest Parameters: State of the Art and Perspectives for Brazilian Studies., , , , , and . IGARSS, page 2201-2204. IEEE, (2006)Tropical forest structure observation with TanDEM-X data., , , , , , , , , and 3 other author(s). IGARSS, page 918-921. IEEE, (2017)Analysis of airborne SAR data (L-band) for discrimination land use/land cover types in the Brazilian Amazon region., , , , and . IGARSS, page 2342-2345. IEEE, (2007)Land Use and Land Cover Mapping in the Brazilian Amazon Using Polarimetric Airborne P-Band SAR Data., , , , , , and . IEEE Trans. Geosci. Remote. Sens., 46 (10): 2956-2970 (2008)Evaluation and perspectives of using multitemporal L-band SAR data to monitor deforestation in the Brazilian Amazônia., , , and . IEEE Geosci. Remote. Sens. Lett., 2 (4): 409-412 (2005)Scaling estimates of vegetation structure in Amazonian tropical forests using multi-angle MODIS observations., , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2016)