Research Papers

Spectral mapping of the Paraíba do Sul River plume (Brazil) using multitemporal Landsat images

[+] Author Affiliations
Natália de Moraes Rudorff, Milton Kampel

Instituto Nacional de Pesquisas Espaciais, Divisão de Sensoriamento Remoto, Av. dos Astronautas, 1758, 12227-010, Jd. da Granja, São José dos Campos, SP, Brazilnmr@dsr.inpe.br, milton@dsr.inpe.br

Carlos Eduardo de Rezende

Universidade Estadual do Norte Fluminense, Centro de Biociências e Biotecnologia, 2813-600, Campos dos Goytacazes, RJ, Brazil

J. Appl. Remote Sens. 5(1), 053550 (September 06, 2011). doi:10.1117/1.3630220
History: Received March 25, 2011; Revised June 13, 2011; Accepted August 09, 2011; Published September 06, 2011; Online September 06, 2011
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Coastal zones are influenced by oceanic, atmospheric, and continental forces, which make them highly vulnerable to climate and anthropogenic changes. The Paraíba do Sul River (PSR) Estuary (Brazil), is especially affected by intensive industrial, urban, and rural activities, along its catchment area. Few works, though, have been done concerning the impacts of these changes. Remote sensing is, thus, an important and unique tool to assess the past scenes for a temporal analysis. The present work aimed to analyze spatial-temporal trends of the PSR plume from 1985 to 2009, using Landsat 5 TM images. Two spectral classification methods were used to map the river plume: maximum likelihood and spectral linear mixture analysis (SLMA). The images corresponded to the months of greatest river discharge, totalizing 11 cloud-free images. Geographical, radiometric, and atmospheric corrections were applied to the five spectral bands used for the classification. Both methods showed good results, however the SLMA provided more information of the water constituent's distribution. The sediment river plume and inner shelf phytoplankton dominated waters showed a negative trend associated with a diminishing of the river discharge. Further works concern in situ validation of the classifications, bio-optical modeling, and more investigations of climate and anthropogenic changes on the PSR.

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© 2011 Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation

Natália de Moraes Rudorff ; Milton Kampel and Carlos Eduardo de Rezende
"Spectral mapping of the Paraíba do Sul River plume (Brazil) using multitemporal Landsat images", J. Appl. Remote Sens. 5(1), 053550 (September 06, 2011). ; http://dx.doi.org/10.1117/1.3630220


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