{"title":"A case study of the effect of permafrost peat on fires in the Arctic using Sentinel-5P data","authors":"Margit Aun , Jan-Peter George , Kerstin Stebel","doi":"10.1016/j.rsase.2025.101540","DOIUrl":null,"url":null,"abstract":"<div><div>Sentinel-5P data was used to conduct a case study of possible differences between permafrost peat and other types of wildfires in the Arctic. Ten fires from Canada, Russia, and Sweden were chosen from 2018 to 2023, with different permafrost peat fractions from 0 to 92 %. Concentrations and various ratios of CH<sub>4</sub>, CO, NO<sub>2</sub>, SO<sub>2</sub>, aerosol index, and layer height above and in proximity to the starting locations of the fires were investigated to find the effect of permafrost peat on the fire emissions. We found higher CH<sub>4</sub> values for fires with higher than 50 % permafrost peat fraction and higher NO<sub>2</sub> concentrations for fires with the lowest permafrost peat fraction. Among other ratios, we also looked at CH<sub>4</sub>/CO and CO/NO<sub>2</sub> ratios as indicators of peat presence. No statistically significant correlation with peat fraction was found in the first case, and in the latter case, there was not enough data available to draw any conclusions. Relying on our results and previous studies, we see the potential of using the concentrations and composition of the atmosphere above the fires as an indicator of the fire type. Due to the complicated conditions of the Arctic with high cloud cover and large variability in the fires (intensity, area, length, fuel types), a larger scale study is needed as a next step.</div></div>","PeriodicalId":53227,"journal":{"name":"Remote Sensing Applications-Society and Environment","volume":"38 ","pages":"Article 101540"},"PeriodicalIF":3.8000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing Applications-Society and Environment","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S235293852500093X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Sentinel-5P data was used to conduct a case study of possible differences between permafrost peat and other types of wildfires in the Arctic. Ten fires from Canada, Russia, and Sweden were chosen from 2018 to 2023, with different permafrost peat fractions from 0 to 92 %. Concentrations and various ratios of CH4, CO, NO2, SO2, aerosol index, and layer height above and in proximity to the starting locations of the fires were investigated to find the effect of permafrost peat on the fire emissions. We found higher CH4 values for fires with higher than 50 % permafrost peat fraction and higher NO2 concentrations for fires with the lowest permafrost peat fraction. Among other ratios, we also looked at CH4/CO and CO/NO2 ratios as indicators of peat presence. No statistically significant correlation with peat fraction was found in the first case, and in the latter case, there was not enough data available to draw any conclusions. Relying on our results and previous studies, we see the potential of using the concentrations and composition of the atmosphere above the fires as an indicator of the fire type. Due to the complicated conditions of the Arctic with high cloud cover and large variability in the fires (intensity, area, length, fuel types), a larger scale study is needed as a next step.
期刊介绍:
The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems