ReviewGlobal change biology2023
Toward a forest biomass reference measurement system for remote sensing applications.
Review in Global change biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed.
- Toward Consistent Canopy Characterization From Low-Cost UAV Imagery.Ecology and evolution · 2026Article
- Aboveground Biomass Accumulation Over Two Decades Across a Gradient of Tropical Forest Restoration Interventions.Global change biology · 2026Article
- Soils and topography drive large and predictable shifts in canopy dynamics across tropical forest landscapes.The New phytologist · 2025Article
- Combining Observations and Models: A Review of the CARDAMOM Framework for Data-Constrained Terrestrial Ecosystem Modeling.Global change biology · 2025Review
- Harnessing Artificial Intelligence, Machine Learning and Deep Learning for Sustainable Forestry Management and Conservation: Transformative Potential and Future Perspectives.Plants (Basel, Switzerland) · 2025Review
- Estimating forest aboveground carbon sink based on landsat time series and its response to climate change.Scientific reports · 2025Article
- Utility of UAS-LIDAR for estimating forest structural attributes of the Miombo woodlands in Zambia.PloS one · 2025Article
- Divergent profiles of rhizosphere soil carbon and nitrogen cycling inFrontiers in microbiology · 2025Article
- Intergovernmental Panel on Climate Change (IPCC) Tier 1 forest biomass estimates from Earth Observation.Scientific data · 2024Article
- LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa.Scientific data · 2024Article
- Analysis on metabolic functions of rhizosphere microbial communities ofFrontiers in microbiology · 2024Article
- Forest age estimation in northern Arkhangelsk region based on machine learning pipeline on Sentinel-2 and auxiliary data.Scientific reports · 2023Article
- Sensing Forests Directly: The Power of Permanent Plots.Plants (Basel, Switzerland) · 2023Article
- Toward a roadmap for space-based observations of the land sector for the UNFCCC global stocktake.iScience · 2023Review
- Toward a forest biomass reference measurement system for remote sensing applications.Global change biology · 2023Review
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Forests contribute to climate change mitigation through carbon storage and uptake, but the extent to which this carbon pool varies in space and time is still poorly known. Several Earth Observation missions have been specifically designed to address this issue, for example, NASA's GEDI, NASA-ISRO's NISAR and ESA's BIOMASS. Yet, all these missions' products require independent and consistent validation. A permanent, global, in situ, site-based forest biomass reference measurement system relying on ground data of the highest possible quality is therefore needed. Here, we have assembled a list of almost 200 high-quality sites through an in-depth review of the literature and expert knowledge. In this study, we explore how representative these sites are in terms of their coverage of environmental conditions, geographical space and biomass-related forest structure, compared to those experienced by forests worldwide. This work also aims at identifying which sites are the most representative, and where to invest to improve the representativeness of the proposed system. We show that the environmental coverage of the system does not seem to improve after at least the 175 most representative sites are included, but geographical and structural coverages continue to improve as more sites are added. We highlight the areas of poor environmental, geographical, or structural coverage, including, but not limited to, Canada, the western half of the USA, Mexico, Patagonia, Angola, Zambia, eastern Russia, and tropical and subtropical highlands (e.g. in Colombia, the Himalayas, Borneo, Papua). For the proposed system to succeed, we stress that (1) data must be collected and processed applying the same standards across all countries and continents; (2) system establishment and management must be inclusive and equitable, with careful consideration of working conditions; and (3) training and site partner involvement in downstream activities should be mandatory.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.