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Álvarez Machuca, Merly Constanza and Bermúdez Rivas, Christian and Niño Pinzón, Diana Carolina. (2016). Characterization of the coastal geomorphology and its associated vegetation cover, through remote sensors, in the Bay of Buenaventura, Valle del Cauca. Boletín Científico CIOH (34). pp. 49-63. doi https://doi.org/10.26640/22159045.426

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Abstract

The present investigation comprised between La Bocana and Punta Limones in the municipality of Buenaventura (Valle del Cauca), describes the geomorphological and vegetal coverage characteristics along 95.61 km of the Pacific coast of Colombia, using remote sensing through the airborne Light Detection and Ranging technique LIDAR- and satellite images and their products. Geomorphologically the territory is distributed almost evenly between coastal plains and hills, with slightly more coastal plains with a total of 53.06 % of the area studied (5637.56 ha), which in turn are constituted by flat land and plains with halophyte vegetation, floodplains, not vegetated intertidal platforms, and in a smaller proportion by coastal lagoons and beaches. The mangrove predominates over the first two geoforms, and the herbaceous vegetation of the beach predominates over the latter. The hills (46.93 %) are also present with the high dense forest of firm ground and the non-flooding ferns. In general, for the study area, the vegetation cover that is most prevalent is the High dense forest of firm ground with 44.94 % (3690.47 ha), followed by the mangroves with 37.65 % (3092.54 ha). The idea of making a relationship between the geomorphological characteristics and the vegetation coverage arises from the need to have geographic tools for the planning and management of the Pacific coast.

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Item Type: Article
Uncontrolled Keywords: Cobertura vegetal. Geomorfología. Light Detection and Ranging-LiDAR. Teledetección. Imagen multiespectral. Zona Costera. SIG.
Geographical coverage : Colombia. Valle del Cauca. La Bocana. Punta Limones. Buenaventura
Depositing User: Dirección General Marítima
ISSN: 2215-9045
Identification Number: https://doi.org/10.26640/22159045.426

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