ArticleNature ecology & evolution2023
A high-resolution canopy height model of the Earth.
Article in Nature ecology & evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 76 papers.
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Who cites it
76 citing papers in PubMed.
- Net carbon losses in Central African forests revealed by high-resolution biomass change maps.Nature communications · 2026Article
- Urban greening strategies for mitigating heat exposure and enhancing bird diversity.Nature communications · 2026Article
- Aboveground Biomass Accumulation Over Two Decades Across a Gradient of Tropical Forest Restoration Interventions.Global change biology · 2026Article
- Sea-Level Rise Constrains the Carbon Permanence of Global Mangrove Restoration.Global change biology · 2026Article
- Decadal sink-source shifts of forest aboveground carbon since 1988.Nature communications · 2026Article
- The NASA ABoVE Land, Vegetation, and Ice Sensor full waveform LiDAR airborne surveys.Scientific data · 2026Article
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- Chocolate Bushbabies: Cocoa Agroforests as Habitat for Galagos (Galagidae) in the Ashanti Region, Ghana.Ecology and evolution · 2026Article
- Sensor fusion and downscaled climate projections reveal climate refugia in the California Channel Islands.Scientific reports · 2026Article
- A 0.6-meter resolution canopy height model for the contiguous United States.Scientific data · 2026Article
- Canada1Water digital terrain model with bathymetry dataset.Data in brief · 2026Article
- Urban greenspace and dementia: Measures, mechanisms, and methodological guidance.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Review
- Differentiable land model reveals global environmental controls on latent ecological functions.Nature communications · 2026Article
- Four decades of circumpolar super-resolved satellite land surface temperature data.Scientific data · 2026Article
- Warming climate amplifies vapor pressure deficit limits on gross primary productivity.Nature communications · 2026Article
- A 0.6-meter resolution canopy height model for the contiguous United States.bioRxiv : the preprint server for biology · 2026Article
- A Global Dataset of Alpine Treeline Elevational Transects.Scientific data · 2026Article
- Multidimensional Recovery of Young Secondary Forests in Human-Modified Tropical Landscapes.Global change biology · 2026Article
- Declining grassland canopy height in China under asymmetric biomass allocation.Nature communications · 2026Article
- Comprehensive uncrewed aerial system data for Amazon rainforest at Tiputini Biodiversity Station, Ecuador.Scientific data · 2026Article
16 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The worldwide variation in vegetation height is fundamental to the global carbon cycle and central to the functioning of ecosystems and their biodiversity. Geospatially explicit and, ideally, highly resolved information is required to manage terrestrial ecosystems, mitigate climate change and prevent biodiversity loss. Here we present a comprehensive global canopy height map at 10 m ground sampling distance for the year 2020. We have developed a probabilistic deep learning model that fuses sparse height data from the Global Ecosystem Dynamics Investigation (GEDI) space-borne LiDAR mission with dense optical satellite images from Sentinel-2. This model retrieves canopy-top height from Sentinel-2 images anywhere on Earth and quantifies the uncertainty in these estimates. Our approach improves the retrieval of tall canopies with typically high carbon stocks. According to our map, only 5% of the global landmass is covered by trees taller than 30 m. Further, we find that only 34% of these tall canopies are located within protected areas. Thus, the approach can serve ongoing efforts in forest conservation and has the potential to foster advances in climate, carbon and biodiversity modelling.
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