Evidence map›Paper›PMID 40715218›Full record

ArticleScientific reports2025

Decadal (2012-2023) account of spatio-temporal variability in satellite-detected biomass fires on Indian landmass and their fire radiative power.

Deepanjan Majumdar

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Deepanjan MajumdarKolkata Zonal Centre, CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), i-8, Sector C, EKADP, E.M. Bypass, Kolkata, India. d_majumdar@neeri.res.in.ORCID http://orcid.org/0000-0001-8063-7623

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Worldwide escalation in wildfire incidences calls for continuous monitoring and early detection of fires to strengthen regional fire combating strategies. Inter-annual variability in fire count and Fire Radiative Power (FRP), spatial spread of fires in the most active seasons during 2012‒2023 on Indian landmass are reported. Fire data is extracted from 375 m active fire detection product of Visible Infrared Imaging Radiometer Suite (VIIRS) hosted by Suomi National Polar-orbiting Partnership. In every fire-year (March-February), constructed from the month of remarkable escalation in fires, fires were most populated in March or April in summer and November in winter. The yearly sum of fire spots ranged from 492,282 (2013) to 731,154 (2021). Inter-annual fire count trend grew at a rate of 10,794 per year, excluding COVID years of 2020 and 2021. Many cities with > 0.1 million population are located within or adjacent to the fire hot spots (20 km × 20 km grids), implying possibility of some impacts of seasonal fires both within and outside Wildfire Urban Interphases (WUIs). The study highlights the urgency of streamlining interventions to minimize wildfire incidences in order to protect forests, habitats, biodiversity, ecosystem services, human lives and property and minimize carbon loss, air pollution, perturbations in regional meteorology and radiative forcing.

Indexed as

BiomassEnvironmental MonitoringFiresSatellite ImageryWildfiresHumansIndiaSeasonsSpatio-Temporal AnalysisCrop residue burningFire countFire spotRemote sensingSen’s slopeVIIRS

Identifiers

PMID40715218
PMCPMC12297426

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.