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A land cover map of Latin America and the Caribbean in the framework of the SERENA project
dc.creator | Blanco P.D. | spa |
dc.creator | Colditz R.R. | spa |
dc.creator | Lopez Saldana G. | spa |
dc.creator | Hardtke L.A. | spa |
dc.creator | Llamas R.M. | spa |
dc.creator | Mari N.A. | spa |
dc.creator | Fischer A. | spa |
dc.creator | Caride C. | spa |
dc.creator | Acenolaza P.G. | spa |
dc.creator | del Valle H.F. | spa |
dc.creator | Lillo-Saavedra M. | spa |
dc.creator | Coronato F. | spa |
dc.creator | Opazo S.A. | spa |
dc.creator | Morelli F. | spa |
dc.creator | Anaya J.A. | spa |
dc.creator | Sione W.F. | spa |
dc.creator | Zamboni P. | spa |
dc.creator | Arroyo V.B. | spa |
dc.date.accessioned | 2015-10-09T13:18:26Z | |
dc.date.available | 2015-10-09T13:18:26Z | |
dc.date.created | 2013 | |
dc.identifier.issn | 344257 | |
dc.identifier.uri | http://hdl.handle.net/11407/1401 | |
dc.description.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. © 2012 Elsevier Inc. | eng |
dc.language.iso | eng | |
dc.relation.isversionof | http://www.sciencedirect.com/science/article/pii/S0034425713000035 | spa |
dc.source | Scopus | spa |
dc.type | Article | eng |
dc.rights.accessrights | info:eu-repo/semantics/restrictedAccess | |
dc.rights.accessrights | info:eu-repo/semantics/restrictedAccess | |
dc.contributor.affiliation | National Patagonian Center-Argentinean National Research Council, Terrestrial Ecology Unit, U9120ACD Puerto Madryn, Chubut, Argentina | spa |
dc.contributor.affiliation | National Commission for the Knowledge and Use of Biodiversity (CONABIO), Av. Liga Periférico-Insurgentes Sur 4903, Parques del Pedregal, Tlalpan 14010, Mexico City, D.F., Mexico | spa |
dc.contributor.affiliation | Department of Forestry, School of Agronomy, Technical University of Lisbon, Tapada da Ajuda, 1349-017 Lisbon, Portugal | spa |
dc.contributor.affiliation | Climate and Water Institute-INTA, B1712WAA Castelar, Buenos Aires, Argentina | spa |
dc.contributor.affiliation | Center of Scientific Research, Technological Transfer to Productivity-Argentinean National Research Council, CP 3105 Diamante, Entre Ríos, Argentina | spa |
dc.contributor.affiliation | Autonomous University of Entre Ríos, CP 3100 Paraná, Entre Ríos, Argentina | spa |
dc.contributor.affiliation | University of Concepción, Department of Electronic Engineering, 4070386 Concepción, Chile | spa |
dc.contributor.affiliation | University of Magallanes, Science and Agricultural Technology School, 621-0427 Punta Arenas, Chile | spa |
dc.contributor.affiliation | Center for Weather Forecasting and Climate Studies, INPE, SP 12227-010 Sao José dos Campos, Brazil | spa |
dc.contributor.affiliation | University of Medellín, Faculty of Engineering, Medellín, Colombia | spa |
dc.contributor.affiliation | National University of Luján, 6700 Luján, Buenos Aires, Argentina | spa |
dc.contributor.affiliation | National Agrarian University - La Molina (UNALM), Lima, Peru | spa |
dc.identifier.doi | 10.1016/j.rse.2012.12.025 | |
dc.subject.keyword | Class memberships | eng |
dc.subject.keyword | Decision trees | eng |
dc.subject.keyword | GOFC-GOLD | eng |
dc.subject.keyword | Land cover classification | eng |
dc.subject.keyword | Latin America | eng |
dc.subject.keyword | MODIS | eng |
dc.subject.keyword | RedLaTIF network | eng |
dc.subject.keyword | SERENA project | eng |
dc.relation.ispartofen | Remote Sensing of Environment, 15 de mayo de 2013, volume 132, pp 13-31 | eng |
dc.title.english | A land cover map of Latin America and the Caribbean in the framework of the SERENA project | eng |
dc.type.driver | info:eu-repo/semantics/article |
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