Identification of wetland areas in the context of agricultural development using remote sensing and GIS

Jesús Adolfo Anaya-Acevedo, John Fernando Escobar-Martínez, Héctor Massone, Gisel Booman, Orlando Mauricio Quiroz-Londoño, César Camilo Cañón-Barriga, Luis Javier Montoya-Jaramillo, Sebastián Palomino-Ángel

Resultado de la investigación: Contribución a una revistaArtículo

4 Citas (Scopus)

Resumen

© The author; licensee Universidad Nacional de Colombia. This study aims to determine the wetland potential on a pixel basis on the floodplain of the Leon River: hydrology, hydrophytic vegetation and hydromorphic soils were taken into account. Field measurements and spatially explicit models were used to model surface hydrology and piezometric levels. Satellite data were used to derive inundated areas and vegetation. Existing maps from the national geographic institute (IGAC) were used to define the spatial distribution of hydromorphic soils. Special attention was paid to agricultural infrastructure, levees and diversion channels used to modify surface hydrology in order to promote plantations and cattle grazing. A total of 536 km2meet one or more wetland conditions according to biophysical variables, but only 393 km2were selected, using logical rules, as wetland pixels. The combination of biophysical variables to define wetland potential is discussed in terms of the spatial distribution and the implications for environmental resource management.
Idioma originalInglés estadounidense
Páginas (desde-hasta)186-194
Número de páginas9
PublicaciónDYNA (Colombia)
Volumen84
N.º201
DOI
EstadoPublicada - 1 ene 2017

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