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

José Claudio Mura; Waldir Renato Paradella; Luciano Vieira Dutra; João Roberto Dos Santos; Bernardo Friedrich Theodor Rudorff; Fernando Pellon de Miranda; Mario Marcos Quintino da Silva; Wagner Fernando da Silva

doi:10.3390/s90100102

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

Sensors (Basel). 2009;9(1):102-17. doi: 10.3390/s90100102. Epub 2009 Jan 7.

Authors

José Claudio Mura¹, Waldir Renato Paradella, Luciano Vieira Dutra, João Roberto Dos Santos, Bernardo Friedrich Theodor Rudorff, Fernando Pellon de Miranda, Mario Marcos Quintino da Silva, Wagner Fernando da Silva

Affiliation

¹ National Institute for Space Research (INPE). São José dos Campos, 12227-010, São Paulo, Brazil; E-mails: mura@dpi.inpe.br ; dutra@dpi.inpe.br ; waldir@dsr.inpe.br ; bernardo@dsr.inpe.br ; jroberto@dsr.inpe.br ; wagner@dsr.inpe.br ; quintino@dss.inpe.br.

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: Amazon Region; L-band radar; MAPSAR simulation; SAR; SIVAM system.