Methodology for classification of geographical features with remote sensing images: Application to tidal flats

@inproceedings{Sarmiento2016MethodologyFC,
  title={Methodology for classification of geographical features with remote sensing images: Application to tidal flats},
  author={G. Noelia Revollo Sarmiento and Marina P. Cipolletti and Mauricio M. Perillo and Claudio Delrieux and Gerardo M. E. Perillo},
  year={2016}
}
Abstract Tidal flats generally exhibit ponds of diverse size, shape, orientation and origin. Studying the genesis, evolution, stability and erosive mechanisms of these geographic features is critical to understand the dynamics of coastal wetlands. However, monitoring these locations through direct access is hard and expensive, not always feasible, and environmentally damaging. Processing remote sensing images is a natural alternative for the extraction of qualitative and quantitative data due… CONTINUE READING

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