Two Decades Mangroves Loss Monitoring Using Random Forest and Landsat Data in East Luwu, Indonesia (2000–2020)
Mangroves grow in the tidal zone and have many benefits for the ecosystem and human life. Mangrove loss monitoring is important information to know the condition and status of mangrove forests. Along with the development of computer technology, machine learning and satellite imagery has widely used...
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MDPI AG
2022-07-01
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| Series: | Geomatics |
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| Online Access: | https://www.mdpi.com/2673-7418/2/3/16 |
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| author | Ilham Jamaluddin Ying-Nong Chen Syafiq Muhammad Ridha Panji Mahyatar Amalia Gita Ayudyanti |
| author_facet | Ilham Jamaluddin Ying-Nong Chen Syafiq Muhammad Ridha Panji Mahyatar Amalia Gita Ayudyanti |
| author_sort | Ilham Jamaluddin |
| collection | DOAJ |
| description | Mangroves grow in the tidal zone and have many benefits for the ecosystem and human life. Mangrove loss monitoring is important information to know the condition and status of mangrove forests. Along with the development of computer technology, machine learning and satellite imagery has widely used for mangrove mapping. The goal of this study is to monitor two decades (2000–2020) of mangrove loss using a random forest (RF) algorithm with Landsat-7 and Landsat-8 data in East Luwu, Indonesia. East Luwu has a high mangrove deforestation rate based on the previous study. More detailed mangrove loss monitoring in this area is needed to know the annual mangrove deforestation rate in this area. This study used an RF model to produce mangrove maps in the whole study area from 2000 to 2020. According to the large computing and storage capabilities of time-series satellite data, this study used Google Earth Engine (GEE) platform as the cloud computing process. A total of 2500 independent testing points were collected to calculate the evaluation assessment of produced mangrove maps. Based on the evaluation assessment, the average overall score of produced mangrove map is 0.966, while the average UA score of mangrove class is 0.936. In general, this study revealed the total area of mangroves in East Luwu from 2000 to 2020 has a decreased trend. The highest annual rate of mangrove loss happened from 2000 to 2005 with a loss rate of −14.11% (2477.39 Ha). The main factor of mangrove loss in this area is caused by the aquaculture ponds. In addition, we found an increase in mangrove areas from 2016 to 2020 by +1.04% (87.96 ha). |
| first_indexed | 2024-03-09T23:55:12Z |
| format | Article |
| id | doaj.art-243683e07ff6435b922b07eb13e2220d |
| institution | Directory Open Access Journal |
| issn | 2673-7418 |
| language | English |
| last_indexed | 2024-03-09T23:55:12Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Geomatics |
| spelling | doaj.art-243683e07ff6435b922b07eb13e2220d2023-11-23T16:26:30ZengMDPI AGGeomatics2673-74182022-07-012328229610.3390/geomatics2030016Two Decades Mangroves Loss Monitoring Using Random Forest and Landsat Data in East Luwu, Indonesia (2000–2020)Ilham Jamaluddin0Ying-Nong Chen1Syafiq Muhammad Ridha2Panji Mahyatar3Amalia Gita Ayudyanti4Department of Computer Science and Information Engineering, National Central University, No. 300, Jhongda Rd., Jhongli Dist., Taoyuan City 32001, TaiwanDepartment of Computer Science and Information Engineering, National Central University, No. 300, Jhongda Rd., Jhongli Dist., Taoyuan City 32001, TaiwanBachelor Program in Cartography and Remote Sensing, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta 55281, IndonesiaBachelor Program in Cartography and Remote Sensing, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta 55281, IndonesiaBachelor Program in Cartography and Remote Sensing, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta 55281, IndonesiaMangroves grow in the tidal zone and have many benefits for the ecosystem and human life. Mangrove loss monitoring is important information to know the condition and status of mangrove forests. Along with the development of computer technology, machine learning and satellite imagery has widely used for mangrove mapping. The goal of this study is to monitor two decades (2000–2020) of mangrove loss using a random forest (RF) algorithm with Landsat-7 and Landsat-8 data in East Luwu, Indonesia. East Luwu has a high mangrove deforestation rate based on the previous study. More detailed mangrove loss monitoring in this area is needed to know the annual mangrove deforestation rate in this area. This study used an RF model to produce mangrove maps in the whole study area from 2000 to 2020. According to the large computing and storage capabilities of time-series satellite data, this study used Google Earth Engine (GEE) platform as the cloud computing process. A total of 2500 independent testing points were collected to calculate the evaluation assessment of produced mangrove maps. Based on the evaluation assessment, the average overall score of produced mangrove map is 0.966, while the average UA score of mangrove class is 0.936. In general, this study revealed the total area of mangroves in East Luwu from 2000 to 2020 has a decreased trend. The highest annual rate of mangrove loss happened from 2000 to 2005 with a loss rate of −14.11% (2477.39 Ha). The main factor of mangrove loss in this area is caused by the aquaculture ponds. In addition, we found an increase in mangrove areas from 2016 to 2020 by +1.04% (87.96 ha).https://www.mdpi.com/2673-7418/2/3/16mangrovesdeforestationrandom forestGoogle Earth EngineEast LuwuLandsat |
| spellingShingle | Ilham Jamaluddin Ying-Nong Chen Syafiq Muhammad Ridha Panji Mahyatar Amalia Gita Ayudyanti Two Decades Mangroves Loss Monitoring Using Random Forest and Landsat Data in East Luwu, Indonesia (2000–2020) Geomatics mangroves deforestation random forest Google Earth Engine East Luwu Landsat |
| title | Two Decades Mangroves Loss Monitoring Using Random Forest and Landsat Data in East Luwu, Indonesia (2000–2020) |
| title_full | Two Decades Mangroves Loss Monitoring Using Random Forest and Landsat Data in East Luwu, Indonesia (2000–2020) |
| title_fullStr | Two Decades Mangroves Loss Monitoring Using Random Forest and Landsat Data in East Luwu, Indonesia (2000–2020) |
| title_full_unstemmed | Two Decades Mangroves Loss Monitoring Using Random Forest and Landsat Data in East Luwu, Indonesia (2000–2020) |
| title_short | Two Decades Mangroves Loss Monitoring Using Random Forest and Landsat Data in East Luwu, Indonesia (2000–2020) |
| title_sort | two decades mangroves loss monitoring using random forest and landsat data in east luwu indonesia 2000 2020 |
| topic | mangroves deforestation random forest Google Earth Engine East Luwu Landsat |
| url | https://www.mdpi.com/2673-7418/2/3/16 |
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