THE ACCURACY OF GILILAWA DARAT WILDFIRE SPREAD ESTIMATION USING BURN SEVERITY AND WRF-SFIRE MODEL

Imam Barnadi, T. Osawa, Wayan Nuarsa
{"title":"THE ACCURACY OF GILILAWA DARAT WILDFIRE SPREAD ESTIMATION USING BURN SEVERITY AND WRF-SFIRE MODEL","authors":"Imam Barnadi, T. Osawa, Wayan Nuarsa","doi":"10.24843/ejes.2023.v17.i01.p09","DOIUrl":null,"url":null,"abstract":"In this research, the origin of the wildfire area is assessed by using the potential of burn severity and the WRF-SFIRE model. This research focuses on the mountainous savanna region, by taking the case of the Gililawa Darat wildfire event. The most accurate index among Sentinel-2B optical burn severity indices, i.e. dNBR, MIRBI, dMIRBI, CSI, dCSI, NDVI, dNDVI, EVI, and dEVI and among Landsat-8 OLI/TIRS thermal and mixed burn severity indices, i.e. LST, dLST, LST/EVI, and d(LST/EVI) was used to map the areas with low burn severity, an indication generally found at origin area. A series of fire spread simulation from these areas was conducted using WRF-SFIRE to assess the accuracy of each simulation in reproducing the burned area. The burn severity accuracy assessment showed that dNBR and dCSI indices had the highest value of Overall Accuracy and Kappa Hat Coefficient, i.e. 91.67% and 0.889 (almost perfect agreement). However, dNBR was the most suitable index for mapping burn severity in the region due to its goodness-of-fit measure for linear regression model with the R-squared value of 0.7856. The assessment of thermal and mixed burn severity indices based on Landsat-8 OLI/TIRS resulted in LST, LST/EVI, and d(LST/EVI) gained the same overall accuracy of 58.33% and Kappa Hat Coefficient of 0.444 indicating moderate agreement, whereas dLST performed poorer than these indices. However, it is not recommended to use these burn severity indices in the region due to the nonlinearity of severity level with the index value. According to WRF-SFIRE simulations result, it was found that fire ignition started from low burn severity area coordinates which have a distance of 0 to 334 metres from the origin area resulting in fire area witan h overall accuracy value range from 77.04% to 81.90% and Kappa Hat Coefficient value range from 0.536 to 0.626. The simulation from the origin area resulted in an overall accuracy of 81.57%, a Kappa hat coefficient of 0.613, underestimated burned area ratio of 0.08, overestimated burned area ratio of 0.23, and a backing fire perimeter difference ratio of 0.4 to the reference. \nKeywords: wildfire; Gililawa Darat; wildfire spread; burn severity; WRF-SFIRE, fire origin area","PeriodicalId":207732,"journal":{"name":"ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24843/ejes.2023.v17.i01.p09","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this research, the origin of the wildfire area is assessed by using the potential of burn severity and the WRF-SFIRE model. This research focuses on the mountainous savanna region, by taking the case of the Gililawa Darat wildfire event. The most accurate index among Sentinel-2B optical burn severity indices, i.e. dNBR, MIRBI, dMIRBI, CSI, dCSI, NDVI, dNDVI, EVI, and dEVI and among Landsat-8 OLI/TIRS thermal and mixed burn severity indices, i.e. LST, dLST, LST/EVI, and d(LST/EVI) was used to map the areas with low burn severity, an indication generally found at origin area. A series of fire spread simulation from these areas was conducted using WRF-SFIRE to assess the accuracy of each simulation in reproducing the burned area. The burn severity accuracy assessment showed that dNBR and dCSI indices had the highest value of Overall Accuracy and Kappa Hat Coefficient, i.e. 91.67% and 0.889 (almost perfect agreement). However, dNBR was the most suitable index for mapping burn severity in the region due to its goodness-of-fit measure for linear regression model with the R-squared value of 0.7856. The assessment of thermal and mixed burn severity indices based on Landsat-8 OLI/TIRS resulted in LST, LST/EVI, and d(LST/EVI) gained the same overall accuracy of 58.33% and Kappa Hat Coefficient of 0.444 indicating moderate agreement, whereas dLST performed poorer than these indices. However, it is not recommended to use these burn severity indices in the region due to the nonlinearity of severity level with the index value. According to WRF-SFIRE simulations result, it was found that fire ignition started from low burn severity area coordinates which have a distance of 0 to 334 metres from the origin area resulting in fire area witan h overall accuracy value range from 77.04% to 81.90% and Kappa Hat Coefficient value range from 0.536 to 0.626. The simulation from the origin area resulted in an overall accuracy of 81.57%, a Kappa hat coefficient of 0.613, underestimated burned area ratio of 0.08, overestimated burned area ratio of 0.23, and a backing fire perimeter difference ratio of 0.4 to the reference. Keywords: wildfire; Gililawa Darat; wildfire spread; burn severity; WRF-SFIRE, fire origin area
基于烧伤严重程度和wrf - fire模型估算吉利拉瓦达拉山火蔓延的准确性
在本研究中,通过使用烧伤严重程度的潜力和WRF-SFIRE模型来评估野火区域的起源。本研究以Gililawa Darat野火事件为例,重点研究山地稀树草原地区。利用Sentinel-2B光学烧伤严重指数(dNBR、MIRBI、dMIRBI、CSI、dCSI、NDVI、dNDVI、EVI和dEVI)和Landsat-8 OLI/TIRS热烧伤严重指数和混合烧伤严重指数(LST、dLST、LST/EVI和d(LST/EVI))中最准确的指数来绘制烧伤严重程度较低的区域,这一指示通常出现在原始区域。利用WRF-SFIRE对这些区域进行了一系列的火灾蔓延模拟,以评估每个模拟在再现燃烧区域时的准确性。烧伤严重程度准确度评估结果显示,dNBR和dCSI指标的总体准确度和Kappa Hat系数最高,分别为91.67%和0.889(几乎完全一致)。而dNBR的线性回归模型的拟合优度为0.7856,是该地区烧伤严重程度映射的最合适指标。基于Landsat-8 OLI/TIRS的热烧伤和混合烧伤严重程度指标的评估结果显示,LST、LST/EVI和d(LST/EVI)的总体准确性相同,为58.33%,Kappa Hat系数为0.444,表明一致性中等,而dLST的表现不如这些指标。然而,由于严重程度与指标值的非线性关系,不建议在该地区使用这些烧伤严重程度指数。根据WRF-SFIRE模拟结果发现,火灾从距离原点0 ~ 334米的低烧伤严重区域坐标开始,导致火灾区域总体精度值在77.04% ~ 81.90%之间,Kappa Hat系数值在0.536 ~ 0.626之间。从原始区域进行模拟,总体精度为81.57%,Kappa hat系数为0.613,低估燃烧面积比为0.08,高估燃烧面积比为0.23,背火周长与参考的差比为0.4。关键词:火灾;Gililawa Darat;野火蔓延;烧伤严重程度;WRF-SFIRE,火源区域
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信