{"title":"采用归一化植被指数(ndvi)和归一化燃烧比(nbr)方法,利用landsat 8影像对燃烧区域进行制图","authors":"Rizka Fadil, D. Arief, S. Putri","doi":"10.24036/irsaj.v1i2.17","DOIUrl":null,"url":null,"abstract":"This study aims (1) to map changes in the area of forest land in the western part of Bengkalis Regency in 2016 and 2021, (2) to determine the distribution of the area of forest burned in the western part of Bengkalis Regency, (3) to determine the severity of forest fires in the District of Bengkalis West Bengkalis.This study used the NDVI (Normalized Difference Vegetation Index) method by Huete et. Al by compositing band 5 (NIR) and band 4 (Red) on Landsat 8 imagery which was processed using ArcGIS software before and after a forest fire. As well as the NBR (Normalized Burn Ratio) and dNBR (Difference Normalized Burn Ratio) methods by Eidenshink et al by compositing band 5 (NIR) and band 7 (SWIR) on Landsat 8 images processed using QGIS software. For sampling using random sampling method and accuracy test using overall accuracy, user's accuracy, producer's accuracy, and kappa analysis. The results of this study are (1) the area of forest land in Bengkalis Regency continues to decrease every year, in 2016 the area of forest land903,920 ha and 2021 the total forest area is463,441 ha. (2)The area of forest land burned due to forest fires in Bengkalis Regency, which burned the least was 267.43 ha, while it was 1468.93 ha and the most extensive was 2186.53 ha.(3) Based on one forest fire distribution map, it is divided into 7 fire severity classes, namely high post-fire regrowth, low post-fire regrowth, no burning, low, medium-high and very high and the most dominant forest fire level is low-high.","PeriodicalId":272417,"journal":{"name":"International Remote Sensing Applied Journal","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"UTILIZING LANDSAT 8 IMAGERY FOR MAPPING OF BURNED AREAS USING THE NORMALIZE DIFFERENCE VEGETATION INDEX (NDVI) AND NORMALIZE BURN RATIO (NBR) METHODS\",\"authors\":\"Rizka Fadil, D. Arief, S. Putri\",\"doi\":\"10.24036/irsaj.v1i2.17\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aims (1) to map changes in the area of forest land in the western part of Bengkalis Regency in 2016 and 2021, (2) to determine the distribution of the area of forest burned in the western part of Bengkalis Regency, (3) to determine the severity of forest fires in the District of Bengkalis West Bengkalis.This study used the NDVI (Normalized Difference Vegetation Index) method by Huete et. Al by compositing band 5 (NIR) and band 4 (Red) on Landsat 8 imagery which was processed using ArcGIS software before and after a forest fire. As well as the NBR (Normalized Burn Ratio) and dNBR (Difference Normalized Burn Ratio) methods by Eidenshink et al by compositing band 5 (NIR) and band 7 (SWIR) on Landsat 8 images processed using QGIS software. For sampling using random sampling method and accuracy test using overall accuracy, user's accuracy, producer's accuracy, and kappa analysis. The results of this study are (1) the area of forest land in Bengkalis Regency continues to decrease every year, in 2016 the area of forest land903,920 ha and 2021 the total forest area is463,441 ha. (2)The area of forest land burned due to forest fires in Bengkalis Regency, which burned the least was 267.43 ha, while it was 1468.93 ha and the most extensive was 2186.53 ha.(3) Based on one forest fire distribution map, it is divided into 7 fire severity classes, namely high post-fire regrowth, low post-fire regrowth, no burning, low, medium-high and very high and the most dominant forest fire level is low-high.\",\"PeriodicalId\":272417,\"journal\":{\"name\":\"International Remote Sensing Applied Journal\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Remote Sensing Applied Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24036/irsaj.v1i2.17\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Remote Sensing Applied Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24036/irsaj.v1i2.17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本研究的目的是(1)绘制2016年和2021年Bengkalis Regency西部林地面积的变化,(2)确定Bengkalis Regency西部森林被烧毁面积的分布,(3)确定Bengkalis West Bengkalis地区森林火灾的严重程度。本研究采用Huete et. Al对森林火灾前后利用ArcGIS软件处理的Landsat 8影像进行5波段(NIR)和4波段(Red)合成的归一化植被指数(NDVI)方法。以及Eidenshink等人在使用QGIS软件处理的Landsat 8图像上合成波段5 (NIR)和波段7 (SWIR)的NBR (Normalized Burn Ratio)和dNBR (Difference Normalized Burn Ratio)方法。采用随机抽样法进行抽样,采用总体精度、用户精度、生产者精度和卡帕分析法进行精度检验。研究结果表明:(1)Bengkalis县林地面积逐年减少,2016年林地面积为903,920 ha, 2021年森林总面积为463,441 ha。(2) Bengkalis县森林火灾烧毁林地面积最小,为267.43 ha, 1468.93 ha,面积最广,为2186.53 ha。(3)根据一张森林火灾分布图,将Bengkalis县划分为火后再生高、火后再生低、不燃烧、低、中高和极高7个火灾严重等级,其中最主要的森林火灾等级为低-高。
UTILIZING LANDSAT 8 IMAGERY FOR MAPPING OF BURNED AREAS USING THE NORMALIZE DIFFERENCE VEGETATION INDEX (NDVI) AND NORMALIZE BURN RATIO (NBR) METHODS
This study aims (1) to map changes in the area of forest land in the western part of Bengkalis Regency in 2016 and 2021, (2) to determine the distribution of the area of forest burned in the western part of Bengkalis Regency, (3) to determine the severity of forest fires in the District of Bengkalis West Bengkalis.This study used the NDVI (Normalized Difference Vegetation Index) method by Huete et. Al by compositing band 5 (NIR) and band 4 (Red) on Landsat 8 imagery which was processed using ArcGIS software before and after a forest fire. As well as the NBR (Normalized Burn Ratio) and dNBR (Difference Normalized Burn Ratio) methods by Eidenshink et al by compositing band 5 (NIR) and band 7 (SWIR) on Landsat 8 images processed using QGIS software. For sampling using random sampling method and accuracy test using overall accuracy, user's accuracy, producer's accuracy, and kappa analysis. The results of this study are (1) the area of forest land in Bengkalis Regency continues to decrease every year, in 2016 the area of forest land903,920 ha and 2021 the total forest area is463,441 ha. (2)The area of forest land burned due to forest fires in Bengkalis Regency, which burned the least was 267.43 ha, while it was 1468.93 ha and the most extensive was 2186.53 ha.(3) Based on one forest fire distribution map, it is divided into 7 fire severity classes, namely high post-fire regrowth, low post-fire regrowth, no burning, low, medium-high and very high and the most dominant forest fire level is low-high.