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The Analysis of Fire Hotspot Distribution in Kalimantan and Its Relationship with ENSO Phases

Open Access
|Jan 2023

Figures & Tables

Fig. 1

Rain station in Kalimantan (BIG and BMKGs 2020). Base map obtained from Indonesian Geospatial Agency.
Rain station in Kalimantan (BIG and BMKGs 2020). Base map obtained from Indonesian Geospatial Agency.

Fig. 2

The 1-1 plot and correlation of global precipitation measurement and meteorological station measurements.
The 1-1 plot and correlation of global precipitation measurement and meteorological station measurements.

Fig. 3

Average monthly rainfall in Kalimantan 2014–2020.
Average monthly rainfall in Kalimantan 2014–2020.

Fig. 4

Average land surface temperature in August–October based on El Nino Southern Oscillation in Kalimantan.
Average land surface temperature in August–October based on El Nino Southern Oscillation in Kalimantan.

Fig. 5

Average soil moisture in August–October based on El Nino Southern Oscillation in Kalimantan.
Average soil moisture in August–October based on El Nino Southern Oscillation in Kalimantan.

Fig. 6

Average number of fire hotspots in August–October based on El Nino Southern Oscillation in Kalimantan.
Average number of fire hotspots in August–October based on El Nino Southern Oscillation in Kalimantan.

Fig. 7

Spatial distribution of average fire density, rainfall, land surface temperature and soil moisture during El Nino Southern Oscillation.
Spatial distribution of average fire density, rainfall, land surface temperature and soil moisture during El Nino Southern Oscillation.

List of data used in this study_

No.DataSourceOrganisationAccessSpatial resolutionTemporal resolution
1.HotspotModerate Resolution Imaging Spectroradiometer MODIS (MCD14ML) 2014–2020The National Aeronautics and Space Administration (NASA)lpdaac.usgs.gov/tools/appeears/1 kmDaily
2.Satellite precipitation dataGlobal Precipitation Measurement (GPM) 2014–2020The National Aeronautics and Space Administration (JAXA)giovanni.gsfc.nasa.gov/giovanni/0.1°Monthly
3.Land Surface TemperatureModerate Resolution Imaging Spectroradiometer MODIS (MOD11A1.006) 2014–2020The National Aeronautics and Space Administration (NASA)lpdaac.usgs.gov/tools/appeears/1 kmDaily
4.Soil MoistureSoil Moisture Active Passive SMAP (SPL4SMAU) 2015–2020The National Aeronautics and Space Administration (NASA)lpdaac.usgs.gov/tools/appeears/9 kmDaily
5.Meteorological station dataIndonesian Bureau of MeteorologyBadan Meteorologi dan Klimatologi (BMKG)dataonline.bmkg.go.id/Daily
6.Oceanic Nino Index (ONI)ONI 2014–2020The National Oceanic and Atmospheric Administration (NOAA)origin.cpc.ncep.noaa.gov/products/analysis_monitoring/ensostuff/ONI_v5.phpMonthly

Comparison of hotspots from different levels of confidence during El Nino Southern Oscillation phases_

Level of confidenceAverage monthly hotspotsTrendTrend
NeutralEl NinoLa NinaEl NinoAverageLa NinaAverage
[−][%]
50%36 83442 6666 83815.8317.40−81.44−84.70
75%17 84220 9862 89317.62−83.79
90%5 6776 74163218.74−88.87
DOI: https://doi.org/10.14746/quageo-2023-0006 | Journal eISSN: 2081-6383 | Journal ISSN: 2082-2103
Language: English
Page range: 75 - 86
Submitted on: Jul 25, 2022
Published on: Jan 18, 2023
Published by: Adam Mickiewicz University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Related subjects:

© 2023 Rahma Aulia Zahra, Emilya Nurjani, Andung Bayu Sekaranom, published by Adam Mickiewicz University
This work is licensed under the Creative Commons Attribution 4.0 License.