Evidence map›Paper›PMID 33619088›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

African burned area and fire carbon emissions are strongly impacted by small fires undetected by coarse resolution satellite data.

Ruben Ramo, Ekhi Roteta, Ioannis Bistinas, Dave van Wees, Aitor Bastarrika, Emilio Chuvieco, Guido R van der Werf

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

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  11. Enhanced CHNature communications · 2025
    Article
  12. Influence of relative humidity and aging on the optical properties of organic aerosols from burning African biomass fuels.Aerosol science and technology : the journal of the American Association for Aerosol Research · 2025
    Article
  13. Article
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  20. Global biomass fires and infant mortality.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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

7 authors.

Ruben RamoCOMPLUTIG-Complutum Tecnologías de la Información Geográfica SL, 28801 Alcalá de Henares, Spain; ruben.ramo@uah.es.ORCID 0000-0003-0255-3090
Ekhi RotetaDepartment of Mining and Metallurgical Engineering and Materials Science, School of Engineering of Vitoria-Gasteiz, University of the Basque Country, 01006 Vitoria-Gasteiz, Spain.ORCID 0000-0002-3722-2104
Ioannis BistinasFaculty of Science, Vrije Universiteit, 1081HV Amsterdam, The Netherlands.ORCID 0000-0002-4221-6817
Dave van WeesFaculty of Science, Vrije Universiteit, 1081HV Amsterdam, The Netherlands.ORCID 0000-0001-5565-7155
Aitor BastarrikaDepartment of Mining and Metallurgical Engineering and Materials Science, School of Engineering of Vitoria-Gasteiz, University of the Basque Country, 01006 Vitoria-Gasteiz, Spain.
Emilio ChuviecoEnvironmental Remote Sensing Research Group, Department of Geology, Geography and the Environment, University of Alcalá, 28801 Alcalá de Henares, Spain.ORCID 0000-0001-5618-4759
Guido R van der WerfFaculty of Science, Vrije Universiteit, 1081HV Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fires are a major contributor to atmospheric budgets of greenhouse gases and aerosols, affect soils and vegetation properties, and are a key driver of land use change. Since the 1990s, global burned area (BA) estimates based on satellite observations have provided critical insights into patterns and trends of fire occurrence. However, these global BA products are based on coarse spatial-resolution sensors, which are unsuitable for detecting small fires that burn only a fraction of a satellite pixel. We estimated the relevance of those small fires by comparing a BA product generated from Sentinel-2 MSI (Multispectral Instrument) images (20-m spatial resolution) with a widely used global BA product based on Moderate Resolution Imaging Spectroradiometer (MODIS) images (500 m) focusing on sub-Saharan Africa. For the year 2016, we detected 80% more BA with Sentinel-2 images than with the MODIS product. This difference was predominately related to small fires: we observed that 2.02 Mkm

Indexed as

Environmental MonitoringSatellite ImageryWildfiresAfricaAir PollutantsCarbonFiresSeasonsAir PollutantsCarbonAfricacarbon emissionsMODISSentinel 2small fires

Identifiers

PMID33619088
PMCPMC7936338

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.