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ETH_GlobalCanopyHeight_10m_2020_version1

This dataset, hosted by the ETH Zurich Research Collection, provides a global canopy height map for 2020. It was created using data from Sentinel-2 and GEDI, offering valuable insights into forest structures and biomass. The resource is open access and available under a Creative Commons license.

This ETH_GlobalCanopyHeight_10m_2020_version1 dataset, hosted by the ETH Zurich Research Collection, offers a comprehensive global canopy height map for the year 2020. Produced by leading researchers, this high-resolution product provides detailed insights into vegetation structure across the planet, making it an invaluable resource for a wide array of scientific and practical applications. The map boasts a 10-meter spatial resolution, ensuring a granular view of canopy height variations globally.

The methodology behind this dataset involves the sophisticated fusion of data from two prominent Earth observation missions: Sentinel-2 satellite imagery and GEDI (Global Ecosystem Dynamics Investigation) lidar data. Sentinel-2 provides multi-spectral information, while GEDI offers precise measurements of forest canopy height and structure from space. This combination allows for robust and accurate modeling of global canopy heights, crucial for environmental monitoring, forestry management, carbon cycle assessments, and climate change research.

Available under an OPEN ACCESS policy and licensed with a Creative Commons Attribution 4.0 International license, this dataset encourages broad dissemination and utilization by the global scientific community. It includes a README.txt file for easy understanding and implementation. The primary data files are accessible via an external link, and a permanent DOI (10.3929/ethz-b-000609802) ensures its persistent identification and proper citation in academic and research contexts. Authors Nico Lang, Konrad Schindler, and Jan Dirk Wegner published this significant work on May 4, 2022, contributing a vital tool for understanding global forest ecosystems.

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