Almeida, P.M.M.; Cruz, C.B.M.; Amaral, F.G.; Furtado, L.F.A.; Duarte, G.S.; Silva, G.F.; Barros, R.S.; Marques, J.V.F.P.A.; Rosário, E.S.; Santos, V.F.; Alves, A.; Chaves, F.O., and Soares, M.L.G., 2020. Mangrove typology: A proposal for mapping based on high spatial resolution orbital remote sensing. In: Malvárez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 1-5. Coconut Creek (Florida), ISSN 0749-0208.

Solutions to improve environmental management strategies increasingly require the adoption of new techniques, such as Geotechnologies. All this effort must be carried out in a multidisciplinary way, using different concepts, techniques and scientific visions about the same phenomenon. In response to the cartographic demands, one of the primordial steps for a good mapping starts before the processing of the images to be used. This step is based on the definition of a legend related to the scale and purpose of the mapping. This work aims to contribute in the definition of a typology adapted to the use of high spatial resolution remote sensing data for the mapping of mangrove phytophysiognomies in the Brazilian Equatorial Coast. The final mapping covered more than 27,000 ha of forests divided into the following classes: (i) Forest dominated by Avicennia schaueriana; (ii) Forest dominated by Rhizophora spp.; (iii) Mixed Forests; all indicating differences in structural development (high, medium or low). Through this reflexive process, this work contributes to the mapping with effectively transdisciplinary strategies.

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