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Remote Sens. 2015, 7(12), 17097-17112;

Radarsat-2 Backscattering for the Modeling of Biophysical Parameters of Regenerating Mangrove Forests

Geoscience Institute, Universidade Federal do Pará, Cidade Universitária, P.O. Box 8608, 66075-110 Belém, Pará, Brazil
Vale Institute of Technology, Rua Boaventura da Silva, 955, 66055-090 Belém, Pará, Brazil
Laboratory of Mangrove Ecology, Institute of Coastal Studies, Universidade Federal do Pará, Campus de Bragança, 68600-000 Bragança, Pará, Brazil
National Institute for Space Research—INPE, Remote Sensing Department, 12227-010 São José dos Campos, São Paulo, Brazil
California Institute of Technology, Jet Propulsion Laboratory, MS 300-319D, 4800 Oak Grove Dr., Pasadena, CA 90039, USA
Author to whom correspondence should be addressed.
Academic Editors: Chandra Giri, Josef Kellndorfer and Prasad S. Thenkabail
Received: 31 August 2015 / Revised: 27 November 2015 / Accepted: 9 December 2015 / Published: 17 December 2015
(This article belongs to the Special Issue Remote Sensing of Mangroves: Observation and Monitoring)
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The aim of this study is to understand the relationship between radar backscattering (σ°, β° and γ) of a multi-polarized Radarsat-2 C-band image with the structural attributes of regenerating mangrove vegetation located at the mouth of the Amazon River. CBH (circumference at breast height), height and species data were collected to characterize vegetation structure and above-ground biomass (AGB) at 17 plots with a total of 3090 measured individuals. Significant relationships between the linear σ° in VH (vertical transmit, horizontal receive) cross-polarization produced r2 values of 0.63 for the average height, 0.53 for the DBH, 0.46 for the basal area (BA) and 0.52 for the AGB. Using co-polarized HH (horizontal transmit, horizontal receive) and VV (vertical transmit, vertical receive), r2 values increased to 0.81, 0.79, 0.67 and 0.79, respectively. Vegetation attribute maps of average canopy height, DBH and AGB were generated for the study area. We conclude that multi-polarized Radarsat-2 images were adequate for characterization of vegetation attributes in areas of mangrove regeneration. View Full-Text
Keywords: SAR; regenerating mangrove; biomass; Amazon SAR; regenerating mangrove; biomass; Amazon

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Cougo, M.F.; Souza-Filho, P.W.M.; Silva, A.Q.; Fernandes, M.E.B.; Santos, J.R.; Abreu, M.R.S.; Nascimento, W.R.; Simard, M. Radarsat-2 Backscattering for the Modeling of Biophysical Parameters of Regenerating Mangrove Forests. Remote Sens. 2015, 7, 17097-17112.

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