Fidiatus Sakinah, I. Ranggadara, Inna Sabily Karima, Suhendra Suhendra
{"title":"基于红树林综合识别指数的沿海地区红树林绿化时空分析","authors":"Fidiatus Sakinah, I. Ranggadara, Inna Sabily Karima, Suhendra Suhendra","doi":"10.1109/iSemantic55962.2022.9920392","DOIUrl":null,"url":null,"abstract":"Mangroves provide various purposes, including avoiding coastal erosion, acting as a water filter, and breeding grounds for marine animals. Mangrove forest areas have experienced a significant decline in crucial functions due to changes, such as the transition of forest areas into ponds, environmental pollution, and illegal logging. This research obtained data using Landsat 8 OLI imagery to detect Tanara Coast, Serang, Banten changes. Because of this problem, research was conducted using the extraction of the Combined Mangrove Recognition Index (CMRI) feature and the Support Vector Regressor (SVR) algorithm to measure what percentage of land changes occur in the mangrove forest area. The research took data from May 01 to August 01, 2019, with clipping as a preprocessing process. This research obtained the highest vegetation value of 0.974966, which means that from May 01 to August 01, mangrove forest vegetation is in good condition.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Spatio-Temporal Analysis Coastal Areas for Detection Mangrove Greenery Using Combined Mangrove Recognition Index\",\"authors\":\"Fidiatus Sakinah, I. Ranggadara, Inna Sabily Karima, Suhendra Suhendra\",\"doi\":\"10.1109/iSemantic55962.2022.9920392\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mangroves provide various purposes, including avoiding coastal erosion, acting as a water filter, and breeding grounds for marine animals. Mangrove forest areas have experienced a significant decline in crucial functions due to changes, such as the transition of forest areas into ponds, environmental pollution, and illegal logging. This research obtained data using Landsat 8 OLI imagery to detect Tanara Coast, Serang, Banten changes. Because of this problem, research was conducted using the extraction of the Combined Mangrove Recognition Index (CMRI) feature and the Support Vector Regressor (SVR) algorithm to measure what percentage of land changes occur in the mangrove forest area. The research took data from May 01 to August 01, 2019, with clipping as a preprocessing process. This research obtained the highest vegetation value of 0.974966, which means that from May 01 to August 01, mangrove forest vegetation is in good condition.\",\"PeriodicalId\":360042,\"journal\":{\"name\":\"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iSemantic55962.2022.9920392\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iSemantic55962.2022.9920392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spatio-Temporal Analysis Coastal Areas for Detection Mangrove Greenery Using Combined Mangrove Recognition Index
Mangroves provide various purposes, including avoiding coastal erosion, acting as a water filter, and breeding grounds for marine animals. Mangrove forest areas have experienced a significant decline in crucial functions due to changes, such as the transition of forest areas into ponds, environmental pollution, and illegal logging. This research obtained data using Landsat 8 OLI imagery to detect Tanara Coast, Serang, Banten changes. Because of this problem, research was conducted using the extraction of the Combined Mangrove Recognition Index (CMRI) feature and the Support Vector Regressor (SVR) algorithm to measure what percentage of land changes occur in the mangrove forest area. The research took data from May 01 to August 01, 2019, with clipping as a preprocessing process. This research obtained the highest vegetation value of 0.974966, which means that from May 01 to August 01, mangrove forest vegetation is in good condition.