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Baseline assessment for environmental services payments from satellite imagery: A case study from Costa Rica and Mexico

机译:卫星影像环境服务付款的基准评估:哥斯达黎加和墨西哥的案例研究

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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.
机译:在这项研究中,我们评估了四种全球和区域森林覆盖率评估(MODIS,IGBP,GLC2000,PROARCA)作为基线估计工具的准确性。我们在哥斯达黎加以及哥斯达黎加(Santa Rosa)和墨西哥(Chamela-Cuixmala)的两个热带干旱森林研究地点的全国范围内进行这项研究。我们发现,在国家一级,由于常绿冠层地区的森林被高估,因此四张土地覆盖图的总森林覆盖率准确性被夸大了。但是,这四张地图大大低估了落叶林(干旱森林)的范围;一个生态系统,该生态系统面临着巨大的森林砍伐压力,并在遥感数据的范围内给地图绘制带来了麻烦。对于热带干旱森林站点,所有地图的森林覆盖率准确度均较低(圣罗莎的平均值为27%; Chamela-Cuixmala的平均值为56%)。这对政策的实施有影响。

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