Mapping Mangrove Extent and Change: A Globally Applicable Approach

@article{Thomas2018MappingME,
  title={Mapping Mangrove Extent and Change: A Globally Applicable Approach},
  author={Nathan M. Thomas and Peter Bunting and Richard M. Lucas and Andy J. Hardy and Ake Rosenqvist and Temilola E. Fatoyinbo},
  journal={Remote. Sens.},
  year={2018},
  volume={10},
  pages={1466}
}
This study demonstrates a globally applicable method for monitoring mangrove forest extent at high spatial resolution. A 2010 mangrove baseline was classified for 16 study areas using a combination of ALOS PALSAR and Landsat composite imagery within a random forests classifier. A novel map-to-image change method was used to detect annual and decadal changes in extent using ALOS PALSAR/JERS-1 imagery. The map-to-image method presented makes fewer assumptions of the data than existing methods, is… 

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