Evidence map›Paper›PMID 41359202›Full record

ArticleCarbon balance and management2025

Scaling and sampling dependencies of forest canopy height mapping towards jurisdictional biomass reporting using airborne LiDAR and small-area estimation.

Juan Guerra-Hernández, Francisco Mauro-Gutiérrez, Francisco Rodríguez-Puerta, Adrian Pascual

Abstract read
In one paragraph

Article in Carbon balance and management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Modelling forest carbon stocks on the Canary Islands.Carbon balance and management · 2026
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Juan Guerra-HernándezForest Research Centre, Associate Laboratory TERRA, School of Agriculture, University of Lisbon (ISA), Tapada da Ajuda, Lisboa, 1349-017, Portugal. juanguerra@isa.ulisboa.pt.
Francisco Mauro-GutiérrezEiFAB, School of Forestry, Agronomy and Bioenergy Engineering, University of Valladolid, Soria, Spain.
Francisco Rodríguez-PuertaEiFAB, School of Forestry, Agronomy and Bioenergy Engineering, University of Valladolid, Soria, Spain.
Adrian PascualDepartment of Geographical Sciences, University of Maryland, College Park, MD, USA.

Funding

Fundação para a Ciência e a Tecnologia 2023.15225.TENURE.008Spanish Ministry of Science and Innovation PID2022-140104OA-I00
6 · The paper itself

Abstract

Consolidated airborne laser scanning (ALS) programs, satellite imagery and spaceborne structural measurements have enabled major advances in canopy height mapping that translate towards the forest carbon biomass arena. However, we must carefully evaluate the cost of using fine-grained canopy height products to predict biomass under calibration models scoped at the scale of inventory plots. In this study, we estimated biomass using field plots and ALS metrics before predicting biomass over a jurisdiction of ~ 15,500 km

Indexed as

Forest statisticsInventory plotsReportingResolution dependenceSAE

Identifiers

PMID41359202
PMCPMC12797554

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.