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Sensors 2009, 9(1), 102-117; doi:10.3390/s90100102
Article

MAPSAR Image Simulation Based on L-band Polarimetric Data from the SAR-R99B Airborne Sensor (SIVAM System)

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Received: 17 September 2008; in revised form: 19 December 2008 / Accepted: 20 December 2008 / Published: 7 January 2009
(This article belongs to the Special Issue Synthetic Aperture Radar (SAR))
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Abstract: This paper describes the methodology applied to generate simulated multipolarized L-band SAR images of the MAPSAR (Multi-Application Purpose SAR) satellite from the airborne SAR R99B sensor (SIVAM System). MAPSAR is a feasibility study conducted by INPE (National Institute for Space Research) and DLR (German Aerospace Center) targeting a satellite L-band SAR innovative mission for assessment, management and monitoring of natural resources. Examples of simulated products and their applications are briefly discussed.
Keywords: SAR; MAPSAR simulation; SIVAM system; L-band radar; Amazon Region SAR; MAPSAR simulation; SIVAM system; L-band radar; Amazon Region
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.

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MDPI and ACS Style

Mura, J.C.; Paradella, W.R.; Dutra, L.V.; Dos Santos, J.R.; Rudorff, B.F.T.; De Miranda, F.P.; Da Silva, M.M.Q.; Da Silva, W.F. MAPSAR Image Simulation Based on L-band Polarimetric Data from the SAR-R99B Airborne Sensor (SIVAM System). Sensors 2009, 9, 102-117.

AMA Style

Mura JC, Paradella WR, Dutra LV, Dos Santos JR, Rudorff BFT, De Miranda FP, Da Silva MMQ, Da Silva WF. MAPSAR Image Simulation Based on L-band Polarimetric Data from the SAR-R99B Airborne Sensor (SIVAM System). Sensors. 2009; 9(1):102-117.

Chicago/Turabian Style

Mura, José Claudio; Paradella, Waldir Renato; Dutra, Luciano Vieira; Dos Santos, João Roberto; Rudorff, Bernardo Friedrich Theodor; De Miranda, Fernando Pellon; Da Silva, Mario Marcos Quintino; Da Silva, Wagner Fernando. 2009. "MAPSAR Image Simulation Based on L-band Polarimetric Data from the SAR-R99B Airborne Sensor (SIVAM System)." Sensors 9, no. 1: 102-117.



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