Assessing the Fires Impact on Vegetation Cover Using Remote Sensing Data: Indonesia Case Study

Elizaveta Grigorets, Anna Kurbatova, Yaroslav Vasyunin, Vasily Lobanov, Riri Fitri Sari, Kseniya Mikhaylichenko, Elizaveta Anikina, Anastasia Kupriyanova

Research output: Contribution to journalArticlepeer-review

Abstract

Wildfires in Indonesia have become abnormally frequent due to the human-driven degradation of forest and agricultural lands, as well as climate change. The authors analyze recent studies that provide evidence for an increase in the fire hazard to various ecosystems in Indonesia (forests, peatlands, agricultural lands) considering changes in climatic and meteorological parameters of the environment. This work establishes a relationship between burnt areas, measured by Moderate Resolution Imaging Spectroradiometer (MODIS), and the following parameters, retrieved from the Reanalysis v5 (ERA5) ECMWF dataset: monthly precipitation amount, temperature at a height of 2 m above sea level, soil temperature in the upper layer (0 to 7 cm depth), water content in the upper soil layer (0 to 7 cm depth), specific air humidity, zonal wind speed, meridional wind speed, and a standard deviation of precipitation. The authors reveal a correlation and a direct dependence of wildfires on the potential factors influencing the area: air temperature and soil temperature. It is assumed to be associated with the rainfall type, winds (speed, direction, and oscillations), improper land use, and the El Niño– Southern Oscillation.

Original languageEnglish
Pages (from-to)50-60
Number of pages11
JournalAdvances in Systems Science and Applications
Volume23
Issue number1
DOIs
Publication statusPublished - 2023

Keywords

  • climatic zones
  • ERA5
  • fires
  • Google Earth Engine
  • Indonesian region
  • MODIS
  • moisture
  • precipitation
  • remote sensing
  • temperature

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