{"title":"罗勇省Prasae河口红树林面积变化的卫星影像空间分析","authors":"P. Intacharoen, Sunita Maliwan","doi":"10.55164/ajstr.v24i1.241221","DOIUrl":null,"url":null,"abstract":"The effect of spatial change on the coastal area affected the status of mangrove forest. Richness of mangrove forest of Prasae estuary has been changed over time due to human activities. This research aimed to use remote sensing technology to investigate the richness of the mangrove forest in the coastal of Prasae estuary in years 2009, 2014, and 2019. Four sub-districts of Klang district, Rayong province were analyzed; namely Paknam Krasae, Pang Rad, Nern Koh, and Klong Pun. Normalized Difference Vegetation Index was evaluated for indicated of biomass that covers land area. The results showed that overall accuracy each year was 80.56, 79.17, and 82.64 %, respectively. The areas of mangrove forest in 2009, 2014, and 2019 were 11,316.48, 18,058.19, and 10,060.86, rai respectively. The prediction of the mangrove forest areas using CA-Markov model indicated that the mangrove area in 2029 would be 7,662.14 rai, which approximately decreases for 23 %","PeriodicalId":426475,"journal":{"name":"ASEAN Journal of Scientific and Technological Reports","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial Analysis of Mangrove Forest Area Change in Prasae River Mouth of Rayong Province Using Satellite Imageries\",\"authors\":\"P. Intacharoen, Sunita Maliwan\",\"doi\":\"10.55164/ajstr.v24i1.241221\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The effect of spatial change on the coastal area affected the status of mangrove forest. Richness of mangrove forest of Prasae estuary has been changed over time due to human activities. This research aimed to use remote sensing technology to investigate the richness of the mangrove forest in the coastal of Prasae estuary in years 2009, 2014, and 2019. Four sub-districts of Klang district, Rayong province were analyzed; namely Paknam Krasae, Pang Rad, Nern Koh, and Klong Pun. Normalized Difference Vegetation Index was evaluated for indicated of biomass that covers land area. The results showed that overall accuracy each year was 80.56, 79.17, and 82.64 %, respectively. The areas of mangrove forest in 2009, 2014, and 2019 were 11,316.48, 18,058.19, and 10,060.86, rai respectively. The prediction of the mangrove forest areas using CA-Markov model indicated that the mangrove area in 2029 would be 7,662.14 rai, which approximately decreases for 23 %\",\"PeriodicalId\":426475,\"journal\":{\"name\":\"ASEAN Journal of Scientific and Technological Reports\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ASEAN Journal of Scientific and Technological Reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.55164/ajstr.v24i1.241221\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ASEAN Journal of Scientific and Technological Reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55164/ajstr.v24i1.241221","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spatial Analysis of Mangrove Forest Area Change in Prasae River Mouth of Rayong Province Using Satellite Imageries
The effect of spatial change on the coastal area affected the status of mangrove forest. Richness of mangrove forest of Prasae estuary has been changed over time due to human activities. This research aimed to use remote sensing technology to investigate the richness of the mangrove forest in the coastal of Prasae estuary in years 2009, 2014, and 2019. Four sub-districts of Klang district, Rayong province were analyzed; namely Paknam Krasae, Pang Rad, Nern Koh, and Klong Pun. Normalized Difference Vegetation Index was evaluated for indicated of biomass that covers land area. The results showed that overall accuracy each year was 80.56, 79.17, and 82.64 %, respectively. The areas of mangrove forest in 2009, 2014, and 2019 were 11,316.48, 18,058.19, and 10,060.86, rai respectively. The prediction of the mangrove forest areas using CA-Markov model indicated that the mangrove area in 2029 would be 7,662.14 rai, which approximately decreases for 23 %