Remote Sensing of Wetland Types: Mangroves

  • Richard Lucas
  • Lola Fatoyinbo
  • Marc Simard
  • Lisa-Maria Rebelo
Living reference work entry


The characterization, mapping, and monitoring of mangroves based on remote sensing data has proved challenging as the prevalence of cloud cover in many areas they inhabit limits observations by optical sensors, diurnal changes in tidal inundation lead to variability in their appearance, and similarities with other proximal vegetation types often compromises their discrimination. The spatial distribution and geometric arrangement of mangroves is also highly variable and ranges from small, isolated clumps of trees and narrow strips that often parallel the coast to contiguous forests covering hundreds of kilometers. For these reasons, a wide range of remote sensing data has been exploited for mapping extent, retrieving important biophysical variables and monitoring change.


Aboveground Biomass Mapping Extent Contiguous Forest Very High Resolution Compact Airborne Spectrographic Imager 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Fatoyinbo TE, Simard M, Washington-Allen RA, Shugart HH. Landscape-scale extent, height, biomass, and carbon estimation of Mozambique’s mangrove forests with Landsat ETM+ and Shuttle Radar Topography Mission elevation data. J Geophys Res. 2008;113:G02S06.CrossRefGoogle Scholar
  2. Fatoyinbo TE, Simard M. Height and biomass of mangroves in Africa from ICESat/GLAS and SRTM. Int J Remote Sens. 2013;34(2):668–81.CrossRefGoogle Scholar
  3. Giri G, Ochieng E, Tieszen LL, Zhu Z, Singh A, Loveland T, Masek J, Duke N. Status and distribution of mangrove forests of the world using Earth observation satellite data. Glob Ecol Biogeogr. 2011;20(1):154–9.CrossRefGoogle Scholar
  4. Held A, Ticehurst C, Lymburner L, Williams N. High resolution mapping of tropical mangrove ecosystems using hyperspectral and radar remote sensing. Int J Remote Sens. 2003;24:2739–59.CrossRefGoogle Scholar
  5. Lucas RM, Mitchell A, Donnelly B, Milne AK, Ellison J, Finlaysson M. Use of stereo aerial photography for assessing changes in the extent and height of mangrove canopies in tropical Australia. Wetl Ecol Manag. 2002;10:161–75.CrossRefGoogle Scholar
  6. Lucas RM, Mitchell AL, Rosenqvist A, Proisy C, Melius A, Ticehurst C. The potential of L-band SAR for quantifying mangrove characteristics and change: case studies from the tropics. Aquat Conserv Mar Freshwat Ecosyst. 2007;17(3):245–64.CrossRefGoogle Scholar
  7. Mitchell AL, Lucas RM, Donnelly BE, Pfizner K, Milne AK, Finlayson M. A new map of mangroves for Kakadu National Park, Northern Australia, based on stereo aerial photography. Wetl Ecol Manag. 2007;17:446–67.Google Scholar
  8. Nascimento Jr WR, Souza-Filho PWM, Proisy C, Lucas RM, Rosenqvist A. Mapping changes in the largest continuous Amazonian mangrove belt using object-based classification of multisensor satellite imagery. Estuar Coast Shelf Sci. 2013;117:83–93.CrossRefGoogle Scholar
  9. Rosenqvist A, Shimada M, Watanabe M. ALOS PALSAR: a pathfinder mission for global-scale monitoring of the environment. IEEE Trans Geosci Remote Sens. 2007;45(11):3307–16.CrossRefGoogle Scholar
  10. Simard M, Zhang KQ, Rivera-Monroy VH, Ross MS, Ruiz PL, Castaneda-Moya E, Twilley RR, Rodriguez E. Mapping height and biomass of mangrove forests in Everglades National Park with SRTM elevation data. Photogramm Eng Remote Sens. 2006;72(3):299–311.CrossRefGoogle Scholar
  11. Simard M, Rivera-Monroy VH, Mancera-Pineda JE, Castaneda-Moya E, Twilley RR. A systematic method for 3d mapping of mangrove forests based on Shuttle Radar Topography Mission elevation data, ICESat/GLAS waveforms and field data: application to Cienaga Grande De Santa Marta, Colombia. Remote Sens Environ. 2008;112:2131–44.CrossRefGoogle Scholar
  12. Spalding M, Kainuma M, Collins L. World atlas of mangroves. 2 ed. London: Earthscan; 2010. p. 336.Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  1. 1.Institute of Geography and Earth SciencesAberystwyth UniversityAberystwythUK
  2. 2.Biospheric Sciences Laboratory, Code 618NASA Goddard Space Flight CenterGreenbeltUSA
  3. 3.Jet Propulsion Laboratory, NASAPasadenaUSA
  4. 4.Regional Office for Southeast Asia and the MekongInternational Water Management InstituteVientianeLaos

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