KalacskaSanchez-AzofeifaRivardEtAl2008

Référence

Kalacska, M., Sanchez-Azofeifa, G.A., Rivard, B., Calvo-Alvarado, J.C., Quesada, M. (2008) Baseline assessment for environmental services payments from satellite imagery: A case study from Costa Rica and Mexico. Journal of Environmental Management, 88(2):348-359. (Scopus )

Résumé

In this study we evaluate the accuracy of four global and regional forest cover assessments (MODIS, IGBP, GLC2000, PROARCA) as tools for baseline estimation. We conduct this research at the national scale for Costa Rica and for two tropical dry forest study sites in Costa Rica (Santa Rosa) and Mexico (Chamela-Cuixmala). We found that at the national level, the total forest cover accuracy of the four land cover maps was inflated due to an overestimation of forest in areas with an evergreen canopy. However, the four maps greatly underestimated the extent of the deciduous forest (dry forest); an ecosystem that faces high deforestation pressure and poses complications to the mapping of its extent from remotely sensed data. For the tropical dry forest sites, all maps have low forest cover accuracies (mean for Santa Rosa: 27%; mean for Chamela-Cuixmala: 56%). This has implications for policy implementation. © 2007 Elsevier Ltd. All rights reserved.

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@ARTICLE { KalacskaSanchez-AzofeifaRivardEtAl2008,
    AUTHOR = { Kalacska, M. and Sanchez-Azofeifa, G.A. and Rivard, B. and Calvo-Alvarado, J.C. and Quesada, M. },
    TITLE = { Baseline assessment for environmental services payments from satellite imagery: A case study from Costa Rica and Mexico },
    JOURNAL = { Journal of Environmental Management },
    YEAR = { 2008 },
    VOLUME = { 88 },
    PAGES = { 348-359 },
    NUMBER = { 2 },
    ABSTRACT = { In this study we evaluate the accuracy of four global and regional forest cover assessments (MODIS, IGBP, GLC2000, PROARCA) as tools for baseline estimation. We conduct this research at the national scale for Costa Rica and for two tropical dry forest study sites in Costa Rica (Santa Rosa) and Mexico (Chamela-Cuixmala). We found that at the national level, the total forest cover accuracy of the four land cover maps was inflated due to an overestimation of forest in areas with an evergreen canopy. However, the four maps greatly underestimated the extent of the deciduous forest (dry forest); an ecosystem that faces high deforestation pressure and poses complications to the mapping of its extent from remotely sensed data. For the tropical dry forest sites, all maps have low forest cover accuracies (mean for Santa Rosa: 27%; mean for Chamela-Cuixmala: 56%). This has implications for policy implementation. © 2007 Elsevier Ltd. All rights reserved. },
    COMMENT = { Cited By (since 1996): 2 Export Date: 10 February 2010 Source: Scopus CODEN: JEVMA doi: 10.1016/j.jenvman.2007.03.015 },
    ISSN = { 03014797 (ISSN) },
    KEYWORDS = { Carbon, Chamela-Cuximala, Costa Rica, Forest cover, Global land cover, Mexico, Payments for environmental services, Santa Rosa, Tropical dry forest, Tropical wet forest, accuracy assessment, carbon, deforestation, dry forest, estimation method, evergreen forest, forest canopy, forest cover, land cover, map, policy implementation, satellite imagery, accuracy, article, canopy, case study, Costa Rica, environmental planning, environmental protection, forest management, forest stand, imaging system, Mexico, remote sensing, tropical rain forest, Conservation of Natural Resources, Costa Rica, Environmental Monitoring, Mexico, Spacecraft, Time Factors, Trees, Tropical Climate, Central America, Costa Rica, Mexico [North America], North America },
    OWNER = { Luc },
    TIMESTAMP = { 2010.02.10 },
    URL = { http://www.scopus.com/inward/record.url?eid=2-s2.0-43149105430&partnerID=40&md5=72596bf3ff29671e5e3c1d13cbfa11bd },
}

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