Natural forests of the world 2020 - probability maps

Informed decisions to reduce deforestation, protect biodiversity, and curb carbon emissions require not just knowing where forests are, but understanding their composition. Identifying natural forests, which serve as critical biodiversity hotspots and major carbon sinks, is particularly valuable. We developed a novel global natural forest map for 2020 at 10 m resolution. This map can support initiatives like the European Union's Deforestation Regulation (EUDR) and other forest monitoring or conservation efforts that require a comprehensive baseline for monitoring deforestation and degradation. The globally consistent map represents the probability of natural forest presence, enabling nuanced analysis and regional adaptation for decision-making.The dataset has a spatial resolution of 10 m. It is organized by UTM zones, with one zip file per UTM zone (60 zip files for the 60 longitudinal UTM zones). Each UTM zone contains multiple GEOTIFF files for all patches that contain land (usually up to 100 patches per UTM cell, where each UTM zone can contain up to 20 cells). The single band of each GEOTIFF file contains the probability of the pixel being natural forest in 2020, scaled by a factor of 250, and saved as uint8.

要制定科学决策以减少森林砍伐、保护生物多样性并遏制碳排放，不仅需要知晓森林的分布位置，更需明晰其组成结构。识别作为关键生物多样性热点区域与主要碳汇的天然林，其价值尤为突出。本研究研发了一款分辨率为10米的2020年全球天然林分布图。该地图可支撑欧盟森林砍伐法规（European Union's Deforestation Regulation）等相关倡议，以及其他需要依托全面基线开展森林砍伐与退化监测的森林监测或保护工作。这款全球一致的天然林分布图以像素级概率值表征天然林存在的可能性，可支持精细化分析与区域适配性决策。本数据集空间分辨率为10米，按通用横轴墨卡托（UTM）分区进行组织，每个UTM分区对应一个压缩包（60个纵向UTM分区共60个压缩包）。每个UTM分区包含多个GeoTIFF（GEOTIFF）文件，对应所有包含陆地的图块（通常每个UTM格网单元最多对应100个图块，单个UTM分区最多可包含20个格网单元）。每个GeoTIFF文件仅包含一个波段，其存储的2020年该像素为天然林的概率值经250倍缩放后，以无符号8位整型（uint8）格式保存。