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

Authors :
Sergio Opazo
Nicolás A. Mari
Pamela Zamboni
Angeles Fischer
Victor Barrena Arroyo
Héctor F. del Valle
Paula Daniela Blanco
Fernando Raul Coronato
Constanza Caride
Fabiano Morelli
Walter Fabian Sione
Gerardo López Saldaña
René R. Colditz
Jesús A. Anaya
Pablo Gilberto Aceñolaza
Mario Lillo-Saavedra
Ricardo M. Llamas
Leonardo Andrés Hardtke
Source :
Remote Sensing of Environment. 132:13-31
Publication Year :
2013
Publisher :
Elsevier BV, 2013.

Abstract

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. Fil: Blanco, Paula Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina Fil: Colditz, Rene R.. Comisión Nacional para el Conocimiento y Uso de la Biodiversidad; México Fil: López Saldaña, Gerardo. Universidade Técnica de Lisboa; Portugal Fil: Hardtke, Leonardo Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina Fil: Llamas, Ricardo M.. Comisión Nacional para el Conocimiento y Uso de la Biodiversidad; México Fil: Mari, Nicolás A.. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigaciones de Recursos Naturales. Instituto de Clima y Agua; Argentina Fil: Fischer, Angeles. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigaciones de Recursos Naturales. Instituto de Clima y Agua; Argentina Fil: Caride, Constanza. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigaciones de Recursos Naturales. Instituto de Clima y Agua; Argentina Fil: Aceñolaza, Pablo Gilberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones Científicas y Transferencia de Tecnología a la Producción; Argentina. Universidad Autónoma de Entre Ríos; Argentina Fil: del Valle, Hector Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina Fil: Lillo Saavedra, Mario. Universidad de Concepción; Chile Fil: Coronato, Fernando Raul. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina Fil: Opazo, Sergio A.. Universidad de Magallanes; Chile Fil: Morelli, Fabiano. Centro de Previsao de Tempo e Estudos Climaticos. Instituto Nacional de Pesquisas Espaciais; Brasil Fil: Anaya, Jesús A.. Universidad de Medellin; Colombia Fil: Sione, Walter Fabian. Universidad Autónoma de Entre Ríos; Argentina. Universidad Nacional de Lujan; Argentina Fil: Zamboni, Pamela. Universidad Autónoma de Entre Ríos; Argentina Fil: Barrena Arroyo, Victor. Universidad Nacional Agraria La Molina; Perú

Details

ISSN :
00344257
Volume :
132
Database :
OpenAIRE
Journal :
Remote Sensing of Environment
Accession number :
edsair.doi.dedup.....9931b851211140c8eaaf17d910324c3d
Full Text :
https://doi.org/10.1016/j.rse.2012.12.025