Using mangroves as a geological indicator of coastal changes in the Bragança macrotidal flat, Brazilian Amazon: A remote sensing data approach

A mangrove ecosystem shows close links between geomorphology and vegetation assemblage. In addition, the vegetation can change over time as landforms can accrete or erode, which is a direct response to coastal sedimentary processes. This demonstrates that significant changes can occur on short time scales and mangroves provide an excellent register of these modifications. Therefore, mangrove morphology and sedimentation are good indicators of interactions between relative sea level changes, coastal processes and sediment supply. These interactions are responsible for landward migration of the shoreline (erosion) and seaward migration of the shoreline (accretion), which is possible to detect from multi-date satellite data and field observations. Mangroves are one of the best geo-indicators in global coastal change research and they are an excellent procedure to detect and quantify coastal modifications.

[1]  R. Lucas,et al.  Use of stereo aerial photography for quantifying changes in the extent and height of mangroves in tropical Australia , 2002, Wetlands Ecology and Management.

[2]  B. Koch,et al.  Holocene coastal evolution and facies model of the Bragança macrotidal flat on the Amazon Mangrove Coast, Northern Brazil , 2006 .

[3]  S. P. S. Kushwaha,et al.  Evaluation of various digital image processing techniques for detection of coastal wetlands using ERS-1 SAR data , 2000 .

[4]  Sijan K. Sapkota,et al.  Classifying coastal resources by integrating optical and radar imagery and color infrared photography , 1998 .

[5]  A. Berger,et al.  Geoindicators: assessing rapid environmental changes in earth systems , 1996 .

[6]  Waldir Renato Paradella,et al.  Recognition of the main geobotanical features along the Bragança mangrove coast (Brazilian Amazon Region) from Landsat TM and RADARSAT-1 data , 2002, Wetlands Ecology and Management.

[7]  B. Kjerfve,et al.  Chapter Twenty Morphodynamics of muddy environments along the Atlantic coasts of North and South America , 2002 .

[8]  A. Robertson,et al.  Tropical Mangrove Ecosystems , 1992 .

[9]  C. Proisy,et al.  Interpretation of Polarimetric Radar Signatures of Mangrove Forests , 2000 .

[10]  Peter J. Mumby,et al.  Remote sensing of the coastal zone: An overview and priorities for future research , 2003 .

[11]  A. C. Ellis,et al.  Remote sensing techniques for mangrove mapping , 1998 .

[12]  P. Mumby,et al.  The cost-effectiveness of remote sensing for tropical coastal resources assessment and management , 1999 .

[13]  Waldir Renato Paradella,et al.  Use of RADARSAT-1 fine mode and Landsat-5 TM selective principal component analysis for geomorphological mapping in a macrotidal mangrove coast in the Amazon Region , 2005 .

[14]  Bergson Cavalcanti de Moraes,et al.  Variação espacial e temporal da precipitação no Estado do Pará , 2005 .

[15]  V. Gornitz.  Global coastal hazards from future sea level rise , 1991 .

[16]  V. Singhroy.  Interpretation of SAR Images for Coastal Zone Mapping in Guyana , 1996 .

[17]  Waldir Renato Paradella,et al.  Use of synthetic aperture radar for recognition of Coastal Geomorphological Features, land-use assessment and shoreline changes in Bragança coast, Pará, Northern Brazil , 2003 .

[18]  P. Chavez.  An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data , 1988 .

[19]  P. Townsend.  Principles and Applications of Imaging Radar: Manual of Remote Sensing , 2000 .

[20]  F. Dahdouh-Guebas.  The Use of Remote Sensing and GIS in the Sustainable Management of Tropical Coastal Ecosystems , 2002 .

[21]  H. Behling,et al.  Amazonian mangrove dynamics during the last millennium: The relative sea-level and the Little Ice Age , 2005 .

[22]  Xiaojun Yang,et al.  Use of Thematic Mapper imagery with a geographic information system for geomorphologic mapping in a large deltaic lowland environment , 1999 .

[23]  F. Henderson,et al.  Principles and Applications of Imaging Radar , 1998 .

[24]  M. Glaser,et al.  Co-evolving geomorphical and socio-economic dynamics in a coastal fishing village of the Bragança region (Pará, North Brazil) , 2003 .

[25]  W. Paradella,et al.  A Geological Investigation Based on Airborne (SAREX) and Spaceborne (RADARSAT-1) SAR Integrated Products in the Central Serra dos Carajás Granite Area, Brazil , 1998 .

[26]  Lara Rubén,et al.  Implications of mangrove dynamics for private and use in bragança, north Brazil: a case study , 2002 .

[27]  B. Kjerfve,et al.  Mangrove ecosystem studies in Latin America and Africa , 1997 .

[28]  H. Behling,et al.  A Model of Holocene Mangrove Development and Relative Sea-level Changes on the Bragança Peninsula (Northern Brazil) , 2005, Wetlands Ecology and Management.

[29]  E. Nezry,et al.  Adaptive speckle filters and scene heterogeneity , 1990 .