{"title":"利用sentinel-2a图像绘制苏门答腊省西部曼德地区红树林的分布","authors":"Shahna Qintania Meron, Triyatno Triyatno","doi":"10.24036/irsaj.v3i2.35","DOIUrl":null,"url":null,"abstract":"Mangroves are a part of the coastal ecosystem, mangroves play an important role in coastal ecosystems where the presence of mangroves can prevent abrasion. This study aims to identify the distribution of mangroves in the Mandeh Area using Sentinel 2A Imagery data assisted by geospatial technology tools. The methods used in this research are Normalized Difference Vegetation Index (NDVI), overlay, and maximum likelihood guided classification, these three methods are a combination of techniques from remote sensing and geographic information systems. The results of the study show that in 2015 the total area of mangrove land was 437 ha, in 2020 the area of mangrove forest with the most extensive mangrove forest density was a high density of (227 ha/ 68%).","PeriodicalId":272417,"journal":{"name":"International Remote Sensing Applied Journal","volume":"449 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"UTILIZATION OF SENTINEL-2A IMAGERY FOR MAPPING THE DISTRIBUTION OF MANGROVE FORESTS IN THE MANDEH AREA, WEST SUMATERA PROVINCE\",\"authors\":\"Shahna Qintania Meron, Triyatno Triyatno\",\"doi\":\"10.24036/irsaj.v3i2.35\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mangroves are a part of the coastal ecosystem, mangroves play an important role in coastal ecosystems where the presence of mangroves can prevent abrasion. This study aims to identify the distribution of mangroves in the Mandeh Area using Sentinel 2A Imagery data assisted by geospatial technology tools. The methods used in this research are Normalized Difference Vegetation Index (NDVI), overlay, and maximum likelihood guided classification, these three methods are a combination of techniques from remote sensing and geographic information systems. The results of the study show that in 2015 the total area of mangrove land was 437 ha, in 2020 the area of mangrove forest with the most extensive mangrove forest density was a high density of (227 ha/ 68%).\",\"PeriodicalId\":272417,\"journal\":{\"name\":\"International Remote Sensing Applied Journal\",\"volume\":\"449 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-28\",\"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.v3i2.35\",\"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.v3i2.35","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
红树林是沿海生态系统的一部分，红树林在沿海生态系统中发挥着重要作用，红树林的存在可以防止磨损。本研究旨在利用地理空间技术工具辅助的Sentinel 2A图像数据，确定曼德地区红树林的分布。本研究采用归一化植被指数(NDVI)、覆盖和最大似然分类方法，这三种方法是遥感技术和地理信息系统技术的结合。研究结果表明，2015年红树林总面积为437 ha, 2020年红树林密度最广的红树林面积为227 ha/ 68%。
UTILIZATION OF SENTINEL-2A IMAGERY FOR MAPPING THE DISTRIBUTION OF MANGROVE FORESTS IN THE MANDEH AREA, WEST SUMATERA PROVINCE
Mangroves are a part of the coastal ecosystem, mangroves play an important role in coastal ecosystems where the presence of mangroves can prevent abrasion. This study aims to identify the distribution of mangroves in the Mandeh Area using Sentinel 2A Imagery data assisted by geospatial technology tools. The methods used in this research are Normalized Difference Vegetation Index (NDVI), overlay, and maximum likelihood guided classification, these three methods are a combination of techniques from remote sensing and geographic information systems. The results of the study show that in 2015 the total area of mangrove land was 437 ha, in 2020 the area of mangrove forest with the most extensive mangrove forest density was a high density of (227 ha/ 68%).
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