论文标题
可可的高分辨率高分辨率地图种植了科特迪瓦和加纳
Satellite-based high-resolution maps of cocoa planted area for Côte d'Ivoire and Ghana
论文作者
论文摘要
世界上最大的可可生产商科特·伊沃伊(Côted'Ivoire)和加纳(Ghana)占全球可可生产的三分之二。在这两个国家中,可可都是多年生作物,为近200万农民提供收入。然而,缺少可可种植区域的精确地图,阻碍了保护区,生产和产量的准确量化,并限制了可用于改善可持续性治理的信息。在这里,我们将可可种植园的数据与公开可用的卫星图像结合在深度学习框架中,并为两国的可可种植园创建高分辨率的地图,并被现场验证。我们的结果表明,可可种植是科科瓦州和加纳保护区的森林损失的37%以上和13%的潜在驱动因素,该官员报告说,加纳的官方报告大大低估了40%的植物区域。这些地图是提高可可生产地区保护和经济发展的关键基础。
Côte d'Ivoire and Ghana, the world's largest producers of cocoa, account for two thirds of the global cocoa production. In both countries, cocoa is the primary perennial crop, providing income to almost two million farmers. Yet precise maps of cocoa planted area are missing, hindering accurate quantification of expansion in protected areas, production and yields, and limiting information available for improved sustainability governance. Here, we combine cocoa plantation data with publicly available satellite imagery in a deep learning framework and create high-resolution maps of cocoa plantations for both countries, validated in situ. Our results suggest that cocoa cultivation is an underlying driver of over 37% and 13% of forest loss in protected areas in Côte d'Ivoire and Ghana, respectively, and that official reports substantially underestimate the planted area, up to 40% in Ghana. These maps serve as a crucial building block to advance understanding of conservation and economic development in cocoa producing regions.