Evidence map›Paper›PMID 37777552›Full record

ArticleScientific data2023

A biomass map of the Brazilian Amazon from multisource remote sensing.

Jean Pierre Ometto, Eric Bastos Gorgens, Francisca Rocha de Souza Pereira, Luciane Sato, Mauro Lúcio Rodrigures de Assis, Roberta Cantinho, Marcos Longo, Aline Daniele Jacon, Michael Keller

Abstract readDataset
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Unprecedented Amazonian rainforests damage during the 2023-2024 droughts.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  9. A large net carbon loss attributed to anthropogenic and natural disturbances in the Amazon Arc of Deforestation.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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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

9 authors.

Jean Pierre OmettoInstituto Nacional de Pesquisas Espaciais (INPE), Av dos Astronautas, 1758, 12227-010, São José dos Campos, SP, Brazil. jean.ometto@inpe.br.ORCID http://orcid.org/0000-0002-4221-1039
Eric Bastos GorgensUniversidade Federal dos Vales do Jequitinhonha e Mucuri. Campus JK. Rodovia MGT 367 - Km 583, n° 5000, Alto da Jacuba, 39100-000, Diamantina, MG, Brazil.ORCID http://orcid.org/0000-0003-2517-0279
Francisca Rocha de Souza PereiraInstituto Nacional de Pesquisas Espaciais (INPE), Av dos Astronautas, 1758, 12227-010, São José dos Campos, SP, Brazil.ORCID http://orcid.org/0000-0002-1319-7717
Luciane SatoInstituto Nacional de Pesquisas Espaciais (INPE), Av dos Astronautas, 1758, 12227-010, São José dos Campos, SP, Brazil.ORCID http://orcid.org/0000-0002-8449-8656
Mauro Lúcio Rodrigures de AssisInstituto Nacional de Pesquisas Espaciais (INPE), Av dos Astronautas, 1758, 12227-010, São José dos Campos, SP, Brazil.ORCID http://orcid.org/0000-0002-2455-0299
Roberta CantinhoCentro de Desenvolvimento Sustentável, Universidade de Brasília, 70910-900, Brasília, DF, Brazil.ORCID http://orcid.org/0000-0002-7635-1494
Marcos LongoClimate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, 94720, USA.ORCID http://orcid.org/0000-0001-5062-6245
Aline Daniele JaconInstituto Nacional de Pesquisas Espaciais (INPE), Av dos Astronautas, 1758, 12227-010, São José dos Campos, SP, Brazil.ORCID http://orcid.org/0000-0003-2585-5198
Michael KellerUSDA Forest Service, International Institute of Tropical Forestry, Rio Piedras, Puerto Rico USA & Jet Propulsion Laboratory, Pasadena, CA, 91011, USA.ORCID http://orcid.org/0000-0002-0253-3359

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Amazon Forest, the largest contiguous tropical forest in the world, stores a significant fraction of the carbon on land. Changes in climate and land use affect total carbon stocks, making it critical to continuously update and revise the best estimates for the region, particularly considering changes in forest dynamics. Forest inventory data cover only a tiny fraction of the Amazon region, and the coverage is not sufficient to ensure reliable data interpolation and validation. This paper presents a new forest above-ground biomass map for the Brazilian Amazon and the associated uncertainty both with a resolution of 250 meters and baseline for the satellite dataset the year of 2016 (i.e., the year of the satellite observation). A significant increase in data availability from forest inventories and remote sensing has enabled progress towards high-resolution biomass estimates. This work uses the largest airborne LiDAR database ever collected in the Amazon, mapping 360,000 km

Indexed as

BiomassForestsRemote Sensing TechnologyBrazilCarbonTropical ClimateCarbon

Identifiers

PMID37777552
PMCPMC10542791

What OpenQuestion holds

Textmetadata
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.