Global Maps of Aboveground Biomass, Canopy Height and Cover for 2023 at 10 m Resolution from Multi-Sensor Satellite Imagery

This repository contains the global datasets of aboveground biomass, canopy height and cover accompanying the publication: Weber, M.; Beneke, C.; Wheeler, C. Unified Deep Learning Model for Global Prediction of Aboveground Biomass, Canopy Height, and Cover from High-Resolution, Multi-Sensor Satellite Imagery. Remote Sens. 2025, 17, 1594. https://doi.org/10.3390/rs17091594 The dataset consists of GeoTIFF files covering a latitude range from 57° S to 67° N in splits of 3° x 3° per file. Each file contains 6 bands corresponding to the model outputs with the following order: aboveground biomass density (Mg/ha), AGBD canopy height (cm), CH canopy cover (%), CC standard error of AGBD standard error of CH standard error of CC In addition, an alpha band is included indicating the valid pixels. Non-valid pixels are masked based on the following conditions: is water or is urban build up Due to the storage limit on Zenodo, we provide a sub-sample of 9 globally distributed files (48 GB) of the full dataset (5 TB) in this repository. The files have the following naming convention: earthdaily_agbd_{lon}_{lat}-[data, alpha].tifWe provide the full list of files contained in this dataset in filelist.txt. The sub-sample of files contained in this repository are listed in filelist_sample.txt. The full dataset can be retrieved from a public S3 bucket on AWS as a Requester-Pays service. Note that no transfer costs are incurred if downloading to an AWS resource within the same region (us-west-2). For further details on data transfer costs we refer to the AWS documentation. We encourage users to create their own AWS account (if not already existing) and transfer individual files within the same region by: aws s3 cp s3://eda-appsci-open-access/biomass/earthdaily_agbd_{lon}_{lat}-[data, alpha].tif DESTINATION_PATH --request-payer requester or the full dataset by: aws s3 sync s3://eda-appsci-open-access/biomass/ DESTINATION_PATH --request-payer requester For access without an AWS account, please contact the corresponding author (Manuel Weber). Files in this repository: AGBD_CH_CC_sample_2023.zip; archive of 9 globally distributed sample GeoTIFFs filelist_sample.txt; S3 paths of the sample files filelist.txt; S3 paths of the full dataset本仓库收录与以下学术论文配套的地上生物量、冠层高度与冠层覆盖度全球数据集： Weber, M.; Beneke, C.; Wheeler, C. 面向高分辨率多传感器卫星影像的地上生物量、冠层高度与冠层覆盖度全球预测的统一深度学习模型. 《Remote Sens.》2025, 17, 1594. https://doi.org/10.3390/rs17091594 该数据集由GeoTIFF（GeoTIFF）文件构成，覆盖范围为南纬57°至北纬67°，每份文件对应3°×3°的分幅区域。每份文件包含6个模型输出波段，顺序如下： 1. 地上生物量密度（单位：Mg/ha），简称AGBD 2. 冠层高度（单位：cm），简称CH 3. 冠层覆盖度（单位：%），简称CC 4. AGBD的标准误差 5. CH的标准误差 6. CC的标准误差 此外，数据集还包含一个alpha波段用于标记有效像素。无效像素将基于以下条件进行掩膜处理： - 属于水体区域，或 - 属于城市建成区 受限于Zenodo的存储容量限制，本仓库仅提供完整数据集（总大小5 TB）中的9份全球分布的子样本数据（总大小48 GB）。 文件命名遵循以下格式：earthdaily_agbd_{lon}_{lat}-[data, alpha].tif。本数据集的完整文件列表存储于filelist.txt文件中，本仓库所包含的子样本文件列表存储于filelist_sample.txt文件中。 完整数据集可通过AWS的公共S3存储桶获取，该服务采用“请求者付费”模式。请注意，若在与存储桶同一区域（us-west-2）的AWS资源内下载数据，将不会产生传输费用。有关数据传输费用的详细说明，请参阅AWS官方文档。我们建议用户（若尚未拥有）创建个人AWS账户，并通过以下命令下载单个文件： aws s3 cp s3://eda-appsci-open-access/biomass/earthdaily_agbd_{lon}_{lat}-[data, alpha].tif DESTINATION_PATH --request-payer requester 或通过以下命令下载完整数据集： aws s3 sync s3://eda-appsci-open-access/biomass/ DESTINATION_PATH --request-payer requester 若没有AWS账户，可联系通讯作者Manuel Weber申请访问权限。 本仓库包含的文件如下： 1. AGBD_CH_CC_sample_2023.zip：包含9份全球分布的样本GeoTIFF文件的压缩归档 2. filelist_sample.txt：子样本文件的S3路径列表 3. filelist.txt：完整数据集的S3路径列表