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

被引:44
作者
Blanco, Paula D. [1 ]
Colditz, Rene R. [2 ]
Saldana, Gerardo Lopez [3 ]
Hardtke, Leonardo A. [1 ]
Llamas, Ricardo M. [2 ]
Mari, Nicolas A. [4 ]
Fischer, Angeles [4 ]
Caride, Constanza [4 ]
Acenolaza, Pablo G. [5 ,6 ]
del Valle, Hector F. [1 ]
Lillo-Saavedra, Mario [7 ]
Coronato, Fernando [1 ]
Opazo, Sergio A. [8 ]
Morelli, Fabiano [9 ]
Anaya, Jesus A. [10 ]
Sione, Walter F. [6 ,11 ]
Zamboni, Pamela [6 ]
Barrena Arroyo, Victor [12 ]
机构
[1] Argentinean Natl Res Council, Natl Patagonian Ctr, Terr Ecol Unit, Chubut, Argentina
[2] Natl Commiss Knowledge & Use Biodivers CONABIO, Mexico City 14010, DF, Mexico
[3] Univ Tecn Lisboa, Sch Agron, Dept Forestry, P-1349017 Lisbon, Portugal
[4] Climate & Water Inst INTA, Buenos Aires, DF, Argentina
[5] Argentinean Natl Res Council, Ctr Sci Res & Technol Transfer Prod, RA-3105 Diamante, Entre Rios, Argentina
[6] Autonomous Univ Entre Rios, RA-3100 Parana, Entre Rios, Argentina
[7] Univ Concepcion, Dept Elect Engn, Concepcion 4070386, Chile
[8] Univ Magallanes, Sci & Agr Technol Sch, Punta Arenas 6210427, Chile
[9] Ctr Weather Forecasting & Climate Studies, INPE, BR-12227010 Sao Jose Dos Campos, Brazil
[10] Univ Medellin, Fac Engn, Medellin, Colombia
[11] Natl Univ Lujan, RA-6700 Buenos Aires, DF, Argentina
[12] Natl Agr Univ La Molina UNALM, Lima, Peru
关键词
Land cover classification; Class memberships; Decision trees; MODIS; SERENA project; Latin America; RedLaTIF network; GOFC-GOLD; SPATIAL-RESOLUTION; ACCURACY ASSESSMENT; CONTINUOUS FIELD; MODIS; CLASSIFICATION; DATABASE; AVHRR; VALIDATION; ALGORITHM; IMAGERY;
D O I
10.1016/j.rse.2012.12.025
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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: I) 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. (C) 2013 Elsevier Inc. All rights reserved.
引用
收藏
页码:13 / 31
页数:19
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