{"title":"利用Landsat 8卫星图像分析Ngurah Rai Bali大森林公园红树林密度面积的变化","authors":"K. Darmo, K. N. Suarbawa, I. Widagda","doi":"10.24843/bf.2018.v19.i02.p04","DOIUrl":null,"url":null,"abstract":"The study is report about to estimate the change of mangrove density level of Ngurah Rai Bali Forest Park from 2014 until 2017 using image of Landsat satellite 8 which was processed with ArcGis software. The density level was determined by using the NDVI method and grouped according to the NDVI range according to the Ministry of Forestry’s rules of 2005. The result shows that in the rare area, the change in the area of density reduced by 23.67 ha, in medium area decreased by 16.74 ha, in the tight area increased by 24.3 ha, and in the total area of mangrove reduced by 16.11 ha. Those results obtained with accuracy of 100 %, 67 %, 93% and 90 % in rare area, medium area, tight area and total area, respectively.","PeriodicalId":32375,"journal":{"name":"Buletin Fisika","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analysis of Changes in Area of Mangrove Density at Ngurah Rai Bali Grand Forest Park Using Image of Landsat 8 Satellite\",\"authors\":\"K. Darmo, K. N. Suarbawa, I. Widagda\",\"doi\":\"10.24843/bf.2018.v19.i02.p04\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The study is report about to estimate the change of mangrove density level of Ngurah Rai Bali Forest Park from 2014 until 2017 using image of Landsat satellite 8 which was processed with ArcGis software. The density level was determined by using the NDVI method and grouped according to the NDVI range according to the Ministry of Forestry’s rules of 2005. The result shows that in the rare area, the change in the area of density reduced by 23.67 ha, in medium area decreased by 16.74 ha, in the tight area increased by 24.3 ha, and in the total area of mangrove reduced by 16.11 ha. Those results obtained with accuracy of 100 %, 67 %, 93% and 90 % in rare area, medium area, tight area and total area, respectively.\",\"PeriodicalId\":32375,\"journal\":{\"name\":\"Buletin Fisika\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Buletin Fisika\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24843/bf.2018.v19.i02.p04\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Buletin Fisika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24843/bf.2018.v19.i02.p04","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
该研究旨在利用ArcGis软件处理的陆地卫星8号图像，估计2014年至2017年Ngurah Rai Bali森林公园红树林密度水平的变化。密度水平通过使用NDVI方法确定，并根据林业部2005年的规则根据NDVI范围进行分组。结果表明，在稀有区，密度变化面积减少了23.67公顷，在中等区减少了16.74公顷，在致密区增加了24.3公顷，在红树林总面积减少了16.11公顷。这些结果在罕见区、中等区、致密区和总区的准确率分别为100%、67%、93%和90%。
Analysis of Changes in Area of Mangrove Density at Ngurah Rai Bali Grand Forest Park Using Image of Landsat 8 Satellite
The study is report about to estimate the change of mangrove density level of Ngurah Rai Bali Forest Park from 2014 until 2017 using image of Landsat satellite 8 which was processed with ArcGis software. The density level was determined by using the NDVI method and grouped according to the NDVI range according to the Ministry of Forestry’s rules of 2005. The result shows that in the rare area, the change in the area of density reduced by 23.67 ha, in medium area decreased by 16.74 ha, in the tight area increased by 24.3 ha, and in the total area of mangrove reduced by 16.11 ha. Those results obtained with accuracy of 100 %, 67 %, 93% and 90 % in rare area, medium area, tight area and total area, respectively.
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