Performance of Wishart Classification Algorithm to Map Mangrove Forest Using Fully Polarimetric Synthetic Aperture Radar at C-, L- and P-bands

Author :
  1. Bambang H. Trisasongko, Department of Soil Science and Land Resources. Bogor Agricultural University
  2. Dyah R. Panuju, Department of Soil Science and Land Resources. Bogor Agricultural University

Download Paper

Abstract

Forested landscapes such as mangrove have drawn many attentions due to their importance in carbon stock. Many attempts were conducted to obtain suitable mangrove map using multi-spectral remote sensing imagery. However, atmospheric disturbance including cloud limits multi-spectral sensors. In many cases, observation through Synthetic Aperture Radar (SAR) is then required. In this research, C-, L- and P-band fully polarimetric SAR data were evaluated to provide a mangrove map exploiting Wishart classifier. Results indicated that Ceriops was the only distinguishable species at C-band. Observation using longer wavelengths (L- and P-bands) revealed fairly strong attenuation from soil background. However, overall accuracy suggested that P-band produced lowest classification error, hence it was suitable to produce a highly accurate map.


Paper's Information

Publisher School of Electrical Engineering and Informatics Institut Teknologi Bandung
Index at 29 January 2013 7:00 a.m.
Source Type
Source Title INTERNATIONAL JOURNAL ON ELECTRICAL ENGINEERING AND INFORMATICS 474--482 pages. Vol. 4 Number.3
Cited 0 times
Keywords

References


  1. F Dahdouh-Guebas,L P Jayatissa,D Di Nitto,J O Bosire,D Lo Seen,N Koedam
    How effective were mangroves as a defence against the recent tsunami
    Post on 2005
  2. F Blasco,P Saenger,E Janodet
    Mangroves as indicators of coastal changes
    Post on 1996
  3. F Blasco,M Aizpuru,C Gers
    Depletion of the mangroves of Continental Asia
    Post on 2001
  4. Valiela,J L Bowen,J K York
    Mangrove forests: one of the World’s threatened major tropical environments
    Post on 2001
  5. B M Diaz,G A Blackburn
    Remote sensing of mangrove biophysical properties: evidence from a laboratory simulation of the possible effects of background variation on spectral vegetation indices
    Post on 2003
  6. E Mougin,C Proisy,G Marty,F Fromard,H Puig,J L Betoulle,J P Rudant
    Multifrequency and multipolarization radar backscattering from mangrove forests
    Post on 1999
  7. V Pasqualini,J Iltis,N Dessay,M Lointier,O Guelorget,L Polidori
    Mangrove mapping in North-Western Madagascar using SPOT-XS and SIR-C radar data
    Post on 1999
  8. B H Trisasongko
    Tropical Mangrove Mapping Using Fully-Polarimetric Radar Data
    Post on 1999
  9. M Simard,G De Grandi,S Saatchi,P Mayaux
    Mapping tropical coastal vegetation using JERS-1 and ERS-1 radar data with a decision tree classifier
    Post on 2002
  10. C Proisy,E Mougin,F Fromard,V Trichon,M A Karam
    On the influence of canopy structure on the radar b ackscattering of mangrove forest
    Post on 2002
  11. Mitchell and R M Lucas
    Integration of aerial photography, hyperspectral and SAR data for mangrove characterization
    Post on 2001
  12. S W P Rodrigues,P W M Souza-Filho
    Use of multi-sensor data to identify and map tropical coactal wetlands in the Amazon of Northern Brazil
    Post on 2011
  13. C Held Ticehurst,L Lymburner,N Williams
    High resolution mapping of tropical mangrove ecosystems using hyperspectral and radar remote sensing
    Post on 2003
  14. R M Lucas,P Bunting,D Clewley,C Proisy,P W M Souza Filho,K Viergever,I Woodhouse,C Ticehurst,J Carreiras,A Rosenqvist,A Accad,J Armston
    Characterisation and monitoring of mangroves using ALOS PALSAR data
    Post on None
  15. F R S Pereira,M Kampel,M Cunha Lignon
    Mapping of mangrove forests on the southern coast of Sao Paulo, Brazil, using synthetic aperture radar data from ALOS/PALSAR
    Post on 2012
  16. J S Lee,M R Grunes,R Kwok
    Classification of multi-look polarimetric SAR imagery based on complex Wishart distribution
    Post on 1994
  17. J S Lee,E Pottier
    Polarimetric radar im aging: from basics to applications
    Post on 2009
  18. K C Carver,C Elachi,F T Ulaby
    Microwave remote sensing from space
    Post on 1985
  19. K Scipal,M Arcioni,J Chave,J Dall,F Fois,T LeToan,C-C Lin,K Papathanassiou,S Quegan,F Rocca,S Saatchi,H Shugart,L Ulander,M Williams
    The BIOMASS mission - An ESA earth explorer candidate to measure the biomass of the earth's forests
    Post on 2010
  20. T Fatoyinbo,R F Rincon,G Sun,K J Ranson
    Ecosar: A P-band digital beamforming polarimetric interferometric SAR instrument to measure ecosystem structure and biomass
    Post on 2011