@inbook {1980,
	title = {A Multi-Criteria Approach for Erosion Risk Assessment Using a New Concept of Spatial Unit Analysis, Wave Model and High Resolution DEMs.},
	booktitle = {Remote Sensing and Modeling},
	volume = {9},
	year = {2014},
	month = {2014-06-13 00:00:00},
	pages = {481-494},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	edition = {Finkl, Charles W., Makowski, Christopher (Eds.)},
	chapter = {20},
	abstract = {
In this work, field data and model outputs were integrated, processed and analyzed in a GIS environment in order to assess the vulnerability to erosion and to produce associated risk maps using a multi-criteria approach. Erosion risk assessment methodology was developed based on morphological, hydrodynamic, and meteorological indicators that were computed using data obtained from a short term monitoring program. It was applied to a stretch on the NW coastal zone of Portugal. Comparing this methodology to previously developed ones, there are three main distinctive aspects to be considered: (i) the coastal stretch was segmented for computation of indexes (susceptibility, exposure and risk), accordingly to specific coastal types (ii) a new set of vulnerability variables is proposed; and (iii) erosion impact indicators computed from detailed building and beaches data that was extracted from aerial photos.
},
	keywords = {Erosion risk, Multi-criteria},
	isbn = {978-3-319-06325-6},
	doi = {10.1007/978-3-319-06326-3_20},
	url = {http://link.springer.com/chapter/10.1007/978-3-319-06326-3_20},
	author = {Granja, H. and Pinho, J. L. S. and Mendes, N.}
}