Rapid estimation of CO2 emissions from forest fire events using cloud-based computation of google earth engine

被引:0
|
作者
Putri Setiani
Luhur Akbar Devianto
Fatwa Ramdani
机构
[1] Brawijaya University,Environmental Engineering, Faculty of Agricultural Technology
[2] Tohoku University,Graduate School of Environmental Studies
[3] Brawijaya University,Geoinformatics Research Group, Faculty of Computer Science
[4] University of Tsukuba,Graduate School of Humanities and Social Sciences
来源
关键词
Landsat-8; Sentinel-2; Forest fire; Emission; Google earth engine; Indonesia;
D O I
暂无
中图分类号
学科分类号
摘要
One of the main sources of greenhouse gases is forest fire, with carbon dioxide as its main constituent. With increasing global surface temperatures, the probability of forest fire events also increases. A method that enables rapid quantification of emissions is even more necessary to estimate the environmental impact. This study introduces the application of the Google Earth Engine platform to monitor burned areas in forest fire events in Mount Arjuno, Indonesia, during the 2016–2019 period, using Landsat-8 and Sentinel-2 satellite imageries. The events particularly affected grassland and tropical forest areas, as well as a fraction of agricultural areas, with a total estimated emission of 2.5 × 103 tCO2/km2 burned area. Higher carbon dioxide emissions were also observed, consistent with the higher local surface temperature as well as the CO total column mixing ratio average retrieved from Sentinel-5 p Tropospheric Monitoring Instrument during the period of analysis.
引用
收藏
相关论文
共 50 条
  • [21] Prediction of the NOx and CO2 emissions from an experimental dual fuel engine using optimized random forest combined with feature engineering
    Nogueira, Silvio Cesar de Lima
    Och, Stephan Hennings
    Moura, Luis Mauro
    Domingues, Eric
    Coelho, Leandro dos Santos
    Mariani, Viviana Cocco
    [J]. ENERGY, 2023, 280
  • [22] Rapid wildfire damage estimation using integrated object-based classification with auto-generated training samples from Sentinel-2 imagery on Google Earth Engine
    Kulinan, Almo Senja
    Cho, Younghyun
    Park, Minsoo
    Park, Seunghee
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2024, 126
  • [23] WETLAND LANDSCAPE SPATIO-TEMPORAL DEGRADATION DYNAMICS USING THE NEW GOOGLE EARTH ENGINE CLOUD-BASED PLATFORM: OPPORTUNITIES FOR NON-SPECIALISTS IN REMOTE SENSING
    Alonso, A.
    Munoz-Carpena, R.
    Kennedy, R. E.
    Murcia, C.
    [J]. TRANSACTIONS OF THE ASABE, 2016, 59 (05) : 1333 - 1344
  • [24] Estimation of CO2 effluxes from suburban forest floor and grass using a process-based model
    Chun, J. A.
    Szlavecz, K.
    Bernard, M.
    Ferrer, D.
    Hom, J.
    Saliendra, N.
    [J]. ATMOSPHERIC ENVIRONMENT, 2014, 97 : 346 - 352
  • [25] Estimation of CO2 effluxes from suburban forest floor and grass using a process-based model
    [J]. Chun, J.A. (jachun@apcc21.org), 1600, Elsevier Ltd (97):
  • [26] Estimation of CO2 effluxes from suburban forest floor and grass using a process-based model
    Chun, J.A.
    Szlavecz, K.
    Bernard, M.
    Ferrer, D.
    Hom, J.
    Saliendra, N.
    [J]. Chun, J.A., 1600, Elsevier Ltd (97): : 346 - 352
  • [27] The effect of land use and land cover changes on soil erosion in semi-arid areas using cloud-based google earth engine platform and GIS-based RUSLE model
    Nourizadeh, Maryam
    Naghavi, Hamed
    Omidvar, Ebrahim
    [J]. NATURAL HAZARDS, 2024, 120 (07) : 6901 - 6922
  • [28] Analysis of Transient HC, CO, NOx and CO2 Emissions from a GDI Engine using Fast Response Gas Analyzers
    Peckham, Mark S.
    Finch, Alex
    Campbell, Bruce
    [J]. SAE INTERNATIONAL JOURNAL OF ENGINES, 2011, 4 (01) : 1513 - 1522
  • [29] Aeolian Desertification Dynamics from 1995 to 2020 in Northern China: Classification Using a Random Forest Machine Learning Algorithm Based on Google Earth Engine
    Zhang, Caixia
    Tan, Ningjing
    Li, Jinchang
    [J]. REMOTE SENSING, 2024, 16 (16)
  • [30] Simulated heat wave events increase CO2 and N2O emissions from cropland and forest soils in an incubation experiment
    Zhengfeng An
    Edward W. Bork
    David Olefeldt
    Cameron N. Carlyle
    Scott X. Chang
    [J]. Biology and Fertility of Soils, 2022, 58 : 789 - 802