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利用基于云的谷歌地球引擎计算快速估算森林火灾事件的 CO 排放量。

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

机构信息

Environmental Engineering, Faculty of Agricultural Technology, Brawijaya University, Malang, Indonesia.

Graduate School of Environmental Studies, Tohoku University, Sendai, Miyagi, 980-8577, Japan.

出版信息

Environ Monit Assess. 2021 Sep 23;193(10):669. doi: 10.1007/s10661-021-09460-w.

Abstract

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 × 10 tCO/km 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.

摘要

温室气体的主要来源之一是森林火灾,其主要成分为二氧化碳。随着全球地表温度的升高,森林火灾事件发生的概率也在增加。因此,更需要一种能够快速量化排放量的方法来评估其对环境的影响。本研究介绍了应用 Google Earth Engine 平台监测印度尼西亚阿戎火山 2016 年至 2019 年期间森林火灾事件中火烧区域的情况,使用了 Landsat-8 和 Sentinel-2 卫星图像。这些事件主要影响了草原和热带森林地区,以及一小部分农业区,估计总排放量为每燃烧 1 平方公里面积 2.5×10 tCO。在分析期间,还观察到二氧化碳排放量较高,这与较高的当地地表温度以及 Sentinel-5 p 对流层监测仪(Tropospheric Monitoring Instrument)检索到的 CO 总柱混合比平均值一致。

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