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Meta发布CHMv2开源模型,提升全球森林冠层高度测绘精度

原标题:详细了解

AI at Meta Blog一手来源模型发布质量 81

AI 摘要

Meta与World Resources Institute合作发布Canopy Height Maps v2(CHMv2),这是一个基于自监督视觉模型DINOv3的开源模型及全球森林冠层高度地图。CHMv2相比前代在精度和细节上有显著提升,R²从0.53升至0.86,并已应用于英国、欧盟和美国的森林监测与城市规划项目。该工具旨在帮助研究人员和政府更好地测量和理解森林结构,支持生物多样性和土地管理决策。

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正文节选

Forests are essential to life on Earth — storing carbon, sheltering wildlife, and shaping our climate. To protect and restore them, we must see them as never before. Today, in partnership with the World Resources Institute, we’re announcing Canopy Height Maps v2 (CHMv2): an open source model and world-scale maps generated with it. Together, they will help researchers and governments measure and understand every tree, gap, and canopy edge — enabling smarter biodiversity support and land-managemen


发布时间:—
抓取时间:2026-08-03 16:13
来源机构:Meta
阅读原文ai.meta.com