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Artículo

A land cover map of Latin America and the Caribbean in the framework of the SERENA project

Blanco, Paula DanielaIcon ; Colditz, Rene R.; López Saldaña, Gerardo; Hardtke, Leonardo AndrésIcon ; Llamas, Ricardo M.; Mari, Nicolás A.; Fischer, Angeles; Caride, Constanza; Aceñolaza, Pablo GilbertoIcon ; del Valle, Hector FranciscoIcon ; Lillo Saavedra, Mario; Coronato, Fernando RaulIcon ; Opazo, Sergio A.; Morelli, Fabiano; Anaya, Jesús A.; Sione, Walter Fabian; Zamboni, Pamela; Barrena Arroyo, Victor
Fecha de publicación: 12/2013
Editorial: Elsevier
Revista: Remote Sensing of Environment
ISSN: 0034-4257
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Ciencias Medioambientales

Resumen

Land cover maps at different resolutions and mapping extents contribute to modeling and support decision making processes. Because land cover affects and is affected by climate change, it is listed among the 13 terrestrial essential climate variables. This paper describes the generation of a land cover map for Latin America and the Caribbean (LAC) for the year 2008. It was developed in the framework of the project Latin American Network for Monitoring and Studying of Natural Resources (SERENA), which has been developed within the GOFC-GOLD Latin American network of remote sensing and forest fires (RedLaTIF). The SERENA land cover map for LAC integrates: 1) the local expertise of SERENA network members to generate the training and validation data, 2) a methodology for land cover mapping based on decision trees using MODIS time series, and 3) class membership estimates to account for pixel heterogeneity issues. The discrete SERENA land cover product, derived from class memberships, yields an overall accuracy of 84% and includes an additional layer representing the estimated per-pixel confidence. The study demonstrates in detail the use of class memberships to better estimate the area of scarce classes with a scattered spatial distribution. The land cover map is already available as a printed wall map and will be released in digital format in the near future. The SERENA land cover map was produced with a legend and classification strategy similar to that used by the North American Land Change Monitoring System (NALCMS) to generate a land cover map of the North American continent, that will allow to combine both maps to generate consistent data across America facilitating continental monitoring and modeling.
Palabras clave: Land Cover Classification , Class Memberships , Decision Trees , Modis
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Atribución-NoComercial-SinDerivadas 2.5 Argentina (CC BY-NC-ND 2.5 AR)
Identificadores
URI: http://hdl.handle.net/11336/5362
URL: http://www.sciencedirect.com/science/article/pii/S0034425713000035
DOI: http://dx.doi.org/ 10.1016/j.rse.2012.12.025
DOI: http://dx.doi.org/10.1016/j.rse.2012.12.025
Colecciones
Articulos(CCT-CENPAT)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - CENPAT
Articulos(CICYTTP)
Articulos de CENTRO DE INV.CIENT.Y TRANSFERENCIA TEC A LA PROD
Articulos(SEDE CENTRAL)
Articulos de SEDE CENTRAL
Citación
Blanco, Paula Daniela; Colditz, Rene R.; López Saldaña, Gerardo; Hardtke, Leonardo Andrés; Llamas, Ricardo M.; et al.; A land cover map of Latin America and the Caribbean in the framework of the SERENA project; Elsevier; Remote Sensing of Environment; 132; 12-2013; 13-31
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