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)

1 National Institute for Space Research (INPE). São José dos Campos, 12227-010, São Paulo, Brazil 2 PETROBRAS (CENPES). Rio de Janeiro, Ilha do Fundão, 21941-598, Rio de Janeiro, Brazil
* Author to whom correspondence should be addressed.
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

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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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