ECOLOGICAL INDICATOR AGENTS FOR INORGANIC CONTAMINANTS STATE MONITORING THROUGH SONNERATIA ALBA, AVICENNIA ALBA AND RHIZOPHORA APICULATA

2015 ◽  
Vol 77 (30) ◽  
Author(s):  
Rashidi Othman ◽  
Razanah Ramya ◽  
Zainul Mukrim Baharuddin ◽  
Khairusy Syakirin Has-Yun Hashim ◽  
Maheran Yaman
Keyword(s):  
Heavy Metals ◽  
Ecological Indicator ◽  
Plant Tissues ◽  
Mangrove Forests ◽  
Inorganic Contaminants ◽  
Mangrove Species ◽  
Rhizophora Apiculata ◽  
Sonneratia Alba ◽  
Leaf Tissues ◽  
Avicennia Alba

Mangrove forest ecosystems are threatened by direct impacts such as cutting and pollution due to agricultural, industrialization and urbanization activities. Mangrove forests are often regarded as unpleasant environments with little intrinsic value.  Mangrove forests perform valued regional and site-specific functions. Mangrove species can take up excessive nutrients and also play a crucial role in creating a favourable environment for a variety of chemical, biological and physical processes that contribute to the inorganic removal and degradation of organic compounds. Among the many mangrove species, Sonneratia alba, Avicennia alba and Rhizophora apiculata have been studied for biomonitoring of toxic heavy metals elements (Fe, Cu, Zn, Pb and Mn) in a wide range of plant tissues (roots and leaves) and sediment composition at  three different locations in Negeri Sembilan, west coast of Malaysia. The results established that there were significant differences between the three mangrove species, locations, plant tissues and sediment samples and their interaction for all the five heavy metals content. The findings revealed that leaf tissues for all species accumulated mostly Fe, Zn, Pb and Cu. Interestingly we noticed that different localities will accumulate different type of heavy metals, for instance R. apiculata leaf tissues were detected with higher concentration of Cu and Pb at Kampung Sungai Sekawang whereas in another two sites were detected with Cu, Fe, Zn and Pb. S. alba indicated that the most heavy metals highly accumulated was Zn followed by Pb and Cu at Pasir Panjang. In this study A. alba showed Zn was highly accumulated in leaf tissues at Pasir Panjang. Thus, those three mangrove species appear to have the greatest potential for use as an effective ecological indicator tools as green application for inorganic contaminants monitoring in mangrove ecosystems.

scholarly journals Distribusi Scylla spp. di perairan estuari Sungai Donan Segara Anakan Bagian Timur, Cilacap

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Sulistiono Sulistiono ◽  
Nurul Musyariafah Yahya ◽  
Etty Riani
Keyword(s):  
Economic Value ◽  
Scylla Serrata ◽  
Mangrove Forests ◽  
Mud Crab ◽  
Mangrove Species ◽  
Central Java ◽  
Rhizophora Apiculata ◽  
Mangrove Ecosystems ◽  
Avicennia Alba ◽  
Mangrove Crabs

Mangrove forests are ecosystems that make up coastal areas and river estuaries. The examples of mangrove ecosystems found in Indonesia are in Segara Anakan, Central Java. One of the aquatic biota with the economic value found in the mangrove forest ecosystem is the mud crab (Scylla spp.). The purpose of this study was to assess the distribution of mangrove crabs (Scylla spp.) to the presence of mangrove species in the mouth of the Donan River, Segara Anakan. A sampling of crabs and observations of mangrove vegetation were carried out at five stations spread from the river to the sea. The results showed that there were three types of mangrove crabs caught in the vicinity of the study, namely Scylla tranquebarica, S. olivacea, and S. serrata. The types of mangroves found include Rhizophora apiculata, R. mucronata, Avicennia rumphiana, A. alba, A. officinalis, and Nypa. Regression analysis showed that mangrove density correlated with the abundance of Scylla tranquebarica and Scylla olivacea, but contradicts the abundance of Scylla serrate. PCA analysis showed that the Crab species Scylla tranquebarica and Scylla olivacea were associated with mangroves of Avicennia alba, Avicennia rumphiana, and Rhizophora apiculata. Meanwhile, Scylla serrata crabs are associated with Avicennia officinalis.

scholarly journals Potential Regeneration of Mangrove Coastal of Payum Beach Merauke District

2019 ◽  
pp. 11-23
Author(s):  
Stenly M.B.S Wairara ◽  
Reny Sianturi
Keyword(s):  
Tree Level ◽  
Sampling Location ◽  
Mangrove Species ◽  
Transect Line ◽  
Rhizophora Apiculata ◽  
Sonneratia Alba ◽  
Avicennia Alba ◽  
Data Collection Technique ◽  
Aegialitis Annulata ◽  
Important Value Index

The purpose of this study was to analyze the regeneration potential of mangroves found on the coast of Payum, Merauke Regency, Papua Province. This research was conducted in August-October 2018. The data collection technique was purposive sampling using Transect Line Plots. The sampling location was chosen based on the representation of the presence of mangroves in three locations, namely zones A, B and C. The results of this study explained that there were three tree-level mangrove species, namely Avicennia alba, Rhizophora apiculata and Sonneratia alba. Type A. alba dominates in zone A with an important value index (INP) of 205.76%, zone B does not have a certain type that dominates, while Rhizophora apiculata dominates in zone C with INP 185.35%. The potential of the three mangrove species in zones A, B and C is good. Aegialitis annulata species are only found in sapling and seedling levels. In zones A and B are classified as new while in zone C is classified as bad. This study concluded that Avicennia alba, Rhizophora apiculata and Sonneratia alba had the potential to regenerate in all three locations (Zones A, B and C) compared to Aegialitis annulata.

scholarly journals MANGROVE FOREST EFFECT ON THE COASTLINE IN RANGSANG ISLAND RIAU PROVINCE

2020 ◽  
Vol 3 (1) ◽  
pp. 29-37
Author(s):  
Paulinus ◽  
Mubarak Mubarak ◽  
Efriyeldi Efriyeldi
Keyword(s):  
Image Data ◽  
Landsat Image ◽  
Sampling Location ◽  
Landsat 8 ◽  
Mangrove Forests ◽  
Bruguiera Gymnorrhiza ◽  
Mangrove Species ◽  
Rhizophora Apiculata ◽  
Xylocarpus Granatum ◽  
Avicennia Alba

The study was conducted in May-June 2019 on Rangsang Island. This study aims to determine the effect of mangrove forests on coastline found on the island of Rangsang in Riau Province. The sampling location was determined by purposive sampling, namely 3 station points, namely Segomeng Village, Tanjung Kedabu Village, and Sungai Gayung Kiri Village. Landsat image data analyzed at the Oceanographic Physics Laboratory of the Department of Marine Sciences, Faculty of Fisheries and Maritime Affairs, University of Riau. To find out the area of ​​mangroves using Landsad 5 TM satellite imagery and Landsat 8 OLI Tirs imagery and analyzed using Er Mapper Software, Envi 4.5 and Arcgis 10.3. Calculation of the structure of the mangrove community is carried out using the line plot plot method. The results of the analysis of the vast landsat image of mangroves in the coastal areas of Rangsang Island in 1997, 2002, 2007, 2013, 2019 were respectively 11,093 ha, 10,807 ha, 10,393 ha, 10,121 ha and 9,971 ha. Changes in the coastline indicate the occurrence of abrasion and accretion, where the highest abrasion occurs at station three with an average of -7.6 m/year and accretion occurs at station one with an average of 2.68 m / year. Mangrove density at station one is 2266.7 ind / ha and at station two that is 1466.7 ind / ha. Mangrove species found were Rhizophora apiculata, Rhizophora mucronata, Avicennia alba, Sonneratia ovata, Bruguiera gymnorrhiza, and Xylocarpus granatum.

scholarly journals Karakteristik Mangrove Di Muara Sungai Timur Kawasan Laguna Segara Anakan, Kabupaten Cilacap Jawa Tengah

2020 ◽  
Vol 9 (4) ◽  
pp. 416-422
Author(s):  
Raditya Rizki Ananta ◽  
Nirwani Soenardjo ◽  
Rini Pramesti
Keyword(s):  
Community Structure ◽  
Avicennia Marina ◽  
Hemispherical Photography ◽  
Bruguiera Gymnorrhiza ◽  
Mangrove Species ◽  
Nypa Fruticans ◽  
Sonneratia Caseolaris ◽  
Rhizophora Apiculata ◽  
Sonneratia Alba ◽  
Avicennia Alba

ABSTRAK: Ekosistem mangrove adalah komunitas tumbuhan tropis yang berada di daerah tepi pantai yang memiliki kemampuan adaptasi pada perairan asin di wilayah intertidal yang dipengaruhi oleh pasang surut air laut. Struktur komunitas mangrove merupakan salah satu parameter dalam menentukan kondisi mangrove. Kawasan ekosistem mangrove yang memiliki karakteristik dinamis komposisi jenis mangrove terdapat di Segara Anakan. Akan tetapi memiliki penurunan luasan hutan mangrove. Hal ini adanya beragam faktor kondisi lingkungan di Segara Anakan, sehingga menyebabkan variabilitas mangrove wilayah Segara Anakan berbeda. Namun kondisi terkini belum banyak dilakukan dalam suatu penelitian sehingga dibutuhkan informasi ilmiah terkini untuk mengetahui komposisi jenis mangrove. Untuk mengatasi hal tersebut maka dilakukan penelitian struktur komunitas untuk mengetahui kondisi ekologi mangrove di Segara Anakan. Tujuan penelitian ini adalah menggambarkan kondisi struktur komunitas mangrove di muara timur Segara Anakan. Lokasi penelitian berada di muara sungai bagian Timur (Sungai Donan). Metode yang digunakan dalam penelitian ini adalah metode deskriptif. Penentuan titik pengambilan data atau sampel di setiap lokasi dilakukan dengan teknik purposive sampling. Selain itu, digunakan teknik transek kuadrat 10x10 m dan Hemispherical Photography. Hasil penelitian menunjukkan kerapatan pohon sebesar 90,6 /ha. Kerapatan sapling rata-rata bernilai 1023 /ha. Kerapatan seedling bernilai 1746 /ha di Muara Timur. Tutupan kanopi komunitas mangrove memiliki persentase kurang dari 75%. Tinggi dan diameter pohon didapatkan sebesar 5,97 m dan 3,1 cm. Spesies mangrove yang ditemukan di dalam plot berjumlah 10 spesies mangrove yaitu Rhizophora apiculata, Bruguiera gymnorrhiza, Aegiceras corniculatum, Avicennia marina, Avicennia alba, Ceriops tagal, Ceriops decandra, Sonneratia caseolaris, Sonneratia alba, Scyphiphora hydrophyllacea, Xylocarpus moluccensis, Xylocarpus granatum, Talipariti tiliaceum, dan Nypa fruticans. ABSTRACT: Mangrove ecosystems are communities of tropical plants located on the coast that have the ability to adapt to salty waters in intertidal areas which are affected by tides. Mangrove community structure is one of the parameters in determining mangrove condition. Mangrove ecosystem areas that have dynamic characteristics of mangrove species composition are found in Segara Anakan. However, it has decreased the area of mangrove forests. This is because of various environmental conditions in Segara Anakan, causing variability of mangroves in the Segara Anakan area to be different. However, recent conditions have not been carried out in many studies, so the latest scientific information is needed to determine the species composition of mangroves. To overcome this, a community structure research was conducted to determine the ecological conditions of mangroves in Segara Anakan. The purpose of this study was to describe the condition of the mangrove community structure in the eastern estuary of Segara Anakan. The research location is in the mouth of the eastern river (Donan River). The method used in this research is descriptive method. Determination of data collection points or samples at each location was done by using purposive sampling technique. In addition, the 10x10 m quadratic transect technique and Hemispherical Photography were used. The results showed the tree density was 90.6 ind/ha. Saplingaveraged 1023 ind/ha. The density seedling is 1746 ind/ha in Muara Timur. The canopy cover of the mangrove community has a percentage of less than 75%. The tree height and diameter were 5.97 m and 3.1 cm respectively. There are 10 mangrove species found in the plot, namely Rhizophora apiculata, Bruguiera gymnorrhiza, Aegiceras corniculatum, Avicennia marina, Avicennia alba, Ceriops tagal, Ceriops decandra, Sonneratia caseolaris, Sonneratia alba, Scyphiphora hydrophyllacea, Xylocarpus moluccensis, Xylocarpus granatum, Talipariti tiliaceum, and Nypa fruticans.   

scholarly journals STRUKTUR VEGETASI MANGROVE ALAMI DAN REHABILITASI PESISIR SELATAN PULAU LOMBOK

2019 ◽  
Vol 19 (2) ◽  
pp. 268
Author(s):  
Laily Hunawatun Sani ◽  
Dining Aidil Candri ◽  
Hilman Ahyadi ◽  
Baiq Farista
Keyword(s):  
Vegetation Structure ◽  
Mangrove Forest ◽  
Mangrove Ecosystem ◽  
Natural Ecosystem ◽  
Importance Value ◽  
Mangrove Species ◽  
Rhizophora Apiculata ◽  
Sonneratia Alba ◽  
Ceriops Decandra ◽  
Avicennia Alba

Abstrak : Rehabilitasi mangrove merupakan salah satu upaya yang dilakukan untuk mengurangi laju kerusakan hutan mangrove di Indonesia salah satunya di kawasan Teluk Gerupuk. Penelitian ini bertujuan untuk mengetahui kondisi mangrove hasil rehabilitasi di Teluk Gerupuk dengan mebandingkan struktur vegetasi mangrove di kawasan tersebut dengan ekosistem mangrove alami. Pelaksanaan penelitian dilakukan pada bulan April-Juni 2019 di dua kawasan hutan mangrove di pesisir selatan pulau Lombok yaitu hutan mangrove alami desa Pemongkong dan hutan mangrove rehabilitasi Teluk Gerupuk. Pengambilan data dilakukan dengan menggunakan metode transek berpetak dengan ukuran petak 10 x 10 m untuk tipe pohon, sub petak 5 x 5 m untuk tipe pancang, dan petak semai berukuran 2 x 2 m. Terdapat 11 spesies mangrove ditemukan di dalam plot penelitian dengan persebaran spesies yaitu 8 spaesies ditemukan di hutan mangrove alami Pemongkong dan hanya 7 spesies ditemukan di hutan mangrove rehabilitasi Gerupuk. Spesies mangrove yang dimaksud termasuk ke dalam 4 famili yaitu Avicenniaceae (Avicennia alba, A. marina, A. lanata), Rhizophoraceae (Ceriops decandra, C. tagal, Rhizophora apiculata, R. mucronata, R. stylosa), Rubiaceae (Scyphiphora hydrophyllaceae) dan Sonneratiaceae (Sonneratia alba, S. casiolaris). Struktur vegetasi kedua ekosistem sangat berbeda terlihat pada vegetasi penyusunnya. Hutan mangrove alami Pemongkong didominasi oleh jenis Sonneratia alba dan Avicennia alba yang memiliki Indeks nilai penting (INP) untuk tipe pohon dan pancang dengan nilai masing-masing 132,37 dan 141,52, sedangkan hutan mangrove rehabilitasi didapatkan INP tertinggi pada tipe pohon dan pancang yaitu jenis R. apiculata dan R. stylosa dengan INP berturut-turut 140,5 dan 116,41. Rehabilitasi hutan mangrove dengan metode yang selama ini dilakukan telah mengubah struktur vegetasi hutan mangrove di Pulau Lombok yang juga dapat mempengaruhi fauna asosiasi dan ekosistem sekitar mangrove. Oleh karena itu, diperlukan perencanaan serta analisis terlebih dahulu terhadap lokasi tujuan rehabilitasi mangrove agar untuk terbentuknya hutan mangrove rehabilitasi yang lebih sesuai dengan biota asosiasi dan ekosistem sekitar yang telah ada sebelumnya.Kata Kunci : Struktur Komunitas, Mangrove, Alami, RehabilitasiAbstract : Rehabilitation of mangrove vegetation was an effort in order to decrease the rate of mangrove ecosystem destruction. This research aimed to determine the vegetation structure and the community status of natural and rehabilitation mangrove forest at South Lombok seashore. This research held on March – June 2019 at two types of mangrove ecosystem such as natural ecosystem at pemongkong, East Lombok and rehabilitation ecosystem at Gerupuk bay, Central Lombok. Data collection used plotted transect method by placed a plot sized 10x 10 m alternately. There are 11 species of mangrove found which belong to 4 families such as Avicenniaceae (Avicennia alba, A. marina, A. lanata), Rhizophoraceae (Ceriops decandra, C. tagal, Rhizophora apiculata, R. mucronata, R. stylosa), Rubiaceae (Scyphiphora hydrophyllaceae) and Sonneratia (Sonneratia alba, S. casiolaris). Vegetation structure in these 2 location was different based on the composition each vegetation and it proportion. Natural mangrove forest in pemongkong dominated by Sonneratia alba with importance value reached 132,37, meanwhile the rehabilitation area of mangrove ecosystem Gerupuk dominated by Rhizophora apiculata with number of importance value reached 140,5. These differences drove the value of persent of similarity (PS) between these ecosystem only reached 10.41% which categorized as low similarity. Mostly of rehabilitation of mangrove ecosystem conducted cause the alteration of vegetation structure of mangrove in Lombok coastal and affect the mangrove associated fauna and ecosystems. In that case, it really important to analys the condition of mangrove rehabilitation plan location to determine the mangrove species to plant in order to formed a rehabilitiation of mangrove area which more compatible to its associated biota and ecosystems.Keyword : Structure, Mangrove, Natural, Rehabilitation  

scholarly journals Isolation and amplification of mangrove plants using DNA barcode in Percut Sei Tuan, North Sumatra, Indonesia

2021 ◽  
Vol 912 (1) ◽  
pp. 012028
Author(s):  
R Syahbana ◽  
M Basyuni ◽  
L A M Siregar
Keyword(s):  
Dna Isolation ◽  
Dna Barcode ◽  
Mangrove Forests ◽  
Mangrove Species ◽  
Nypa Fruticans ◽  
Rhizophora Apiculata ◽  
Living Things ◽  
Acanthus Ilicifolius ◽  
Avicennia Alba ◽  
North Sumatra

Abstract Mangroves are a collection of several species of trees or shrubs that distribute around the coastline and can survive in high salinity environments. Around 60% of mangrove forests in North Sumatra are reported to have been damaged, the main factors of this damage being the mangrove forests conversion into ponds and the expansion of oil palm plantations. Identification of mangrove species is very important in protecting and applying the biodiversity of mangrove forests. Identification of living things has evolved from morphological charcetrization to molecular identification. This study aims to explain the DNA isolation and PCR methods to identify mangrove species in North Sumatra. The results suggested that the rbcL primer used can detect mangrove species that were visualized in the form of DNA bands. The length of DNA fragments of mangrove species Acrosticum aureum ranged 632.0-619.6 bp, species Rhizophora apiculata 619.6-585.8 bp, species Nypa fruticans 600- 592.9 bp, species Avicennia alba 549.1-533.5 bp, species Hibiscus tiliaceus was not detected, and mangrove species Acanthus ilicifolius 480.3 bp.

scholarly journals Optimization of Mangrove Ecosystem Management in Kawasan Bungkutoko, Southeast Sulawesi as Ecotourism Area

2020 ◽  
Vol 12 (1) ◽  
pp. 24
Author(s):  
Agus Salim ◽  
Risma Illa Maulany ◽  
Ngakan Putu Oka
Keyword(s):  
Development Strategy ◽  
Mangrove Ecosystem ◽  
City Government ◽  
Mangrove Forests ◽  
Bruguiera Gymnorrhiza ◽  
Mangrove Species ◽  
Rhizophora Stylosa ◽  
Rhizophora Apiculata ◽  
Xylocarpus Granatum ◽  
Sonneratia Alba

This study aims to determine (1) Assessment of Bungkutoko Ecotourism Conditions; and (2) Supporting factors for optimizing management, and (3) strategies for optimizing management. This research will be carried out for three months from September to December 2018 in the Bungkutoko mangrove tracking ecotourism area, Kendari City, Southeast Sulawesi (Figure 1). Identification of unknown mangrove species will be carried out at the Laboratory of Conservation of forest resources and ecotourism, Faculty of Forestry, Hasanuddin University. The results of the study: (1) Biophysical potential of mangrove ecotourism in Bungkutoko, namely 8 species of mangrove plants consisting of Avicennia lanata, Rhizophora stylosa, Bruguiera gymnorrhiza, Rhizophora apiculata, Sonneratia alba, Xylocarpus granatum, Xylocarpus stylosa, Bruguiera gymnorrhiza, Rhizophora apiculata, Sonneratia alba, Xylocarpus granatum, Xylocarpus stylosa, Bruguiera gymnorrhiza, Rhizophora apiculata, Sonneratia alba, Xylocarpus granatum, Xylocarpus moluccensis, L faustis and L faecus, and Lizar. from birds and reptiles. (2) Condition of mangrove ecotourism practices in Bungkutoko Not optimal, both in terms of education, conservation and welfare. (3) The ecotourism development strategy in Bungkutoko is in quadrant II (S-T strategy). The strategies formulated in quadrant II include: increasing the availability of educational facilities, increasing efforts to preserve the environment of mangrove forests, empowering local communities, increasing Human Resources, and working with the Kendari city government and the private sector to add infrastructure.

scholarly journals Vegetation Structure And Carbon Stock In The Mangrove Community Of Payumb Coast, Merauke Regency, Papua

2018 ◽  
Vol 73 ◽  
pp. 08012
Author(s):  
Sianturi Reny ◽  
N. Choesin Devi
Keyword(s):  
Vegetation Structure ◽  
Carbon Stock ◽  
Community Level ◽  
Total Carbon ◽  
Mangrove Forests ◽  
Importance Value ◽  
Mangrove Species ◽  
Species Dominance ◽  
Rhizophora Apiculata ◽  
Avicennia Alba

Mangrove forests in Indonesia play an important role in mitigating climate changes and providing other ecosystem services; however, their extent continues to decline. Information on mangrove community and its carbon stock, especially for Papua, is still limited. This study was conducted to describe vegetation structure and estimate carbon stock in Payumb Coast in Merauke District, Papua. There were three primary mangrove species identified, namely, Avicennia alba, Rhizophora apiculata and Sonneratia alba. Species dominance varied along a gradient of salinity and substrate perpendicular to the shoreline. A. alba is dominant in the closest zone to the shoreline (importance value 205.76%), while R. apiculata is dominant in the farthest zone (importance value 185,35). At the community level, the carbon stock in trees differed significantly between zones (p<0.05), with the highest in the zone dominated by R. apiculata. This study has provided preliminary data on carbon stock estimation at the community level; further studies should be conducted to estimate total carbon stock based on all above- and belowground components. More accurate estimations become important, as it was found that different species could contain significantly different carbon stock; thus producing variation among mangrove communities.

scholarly journals KEANEKARAGAMAN JENIS MANGROVE DI DESA MENDALOK KECAMATAN SUNGAI KUNYIT KABUPATEN MEMPAWAH

2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Syahrul Muharamsyah ◽  
M Sofwan Anwari ◽  
Hafiz Ardian
Keyword(s):  
Mangrove Forest ◽  
Avicennia Marina ◽  
Raw Material ◽  
Mangrove Forests ◽  
Bruguiera Gymnorrhiza ◽  
Mangrove Species ◽  
Rhizophora Stylosa ◽  
Sonneratia Caseolaris ◽  
Rhizophora Apiculata ◽  
Bruguiera Cylindrica

Mangrove forests are unique ecosystems that have ecological, biological and socio-economic functions. The function of mangrove forests on the environment is very important especially in the coastal and oceanic regions. Mangrove forests providers of wood, leaves as raw material for medicines, and natural dye. This study aims to inventory the diversity of species of mangrove vegetation in Mendalok Village, Sungai Kunyit Subdistrict, Mempawah Regency. The benefits of this study are to provide the data on mangrove forest vegetation as basic data for local government and related agencies in efforts to protect and preserve mangrove forests in Mendalok Village, Sungai Kunyit Subdistrict, Mempawah Regency. Inventory the tree in mangrove forest used a line with measured 200 meters. There are 6 lines and the distance between the lines as far as 100 meters. The lines of observation are placed by purposive sampling. The results of research found 11 types of species and consisted of 6 genera. The genera are Avicennia, Bruguiera, Ceriops, Rhizophora, Soneratia and Xylocarpus. The species found were Avicennia alba, Avicennia marina, Bruguiera cylindrica, Bruguiera gymnorrhiza, Bruguiera parviflora, Ceriops decandra, Rhizophora apiculata, Rhizophora mucronata, Rhizophora stylosa, Sonneratia caseolaris, Xylocarpus mollucensis. Diversity of mangrove species in Mendalok Village, Sungai Kunyit Subdistrict, Mempawah Regency was high and should be maintained for conservation and ecotourism area. Keywords : conservation, ecotourism, mangrove, Mendalok Village

scholarly journals MACHINE LEARNING-BASED MANGROVE LAND CLASSIFICATION ON WORLDVIEW-2 SATELLITE IMAGE IN NUSA LEMBONGAN ISLAND

2018 ◽  
Vol 14 (2) ◽  
pp. 159 ◽  
Author(s):  
Aulia Ilham ◽  
Marza Ihsan Marzuki
Keyword(s):  
Machine Learning ◽  
Satellite Image ◽  
Image Data ◽  
Information Criterion ◽  
Mangrove Forests ◽  
Mangrove Species ◽  
Rhizophora Apiculata ◽  
Distribution Type ◽  
Non Linear System ◽  
Image Data Classification

Machine learning is an empirical approach for regressions, clustering and/or classifying (supervised or unsupervised) on a non-linear system. This method is mainly used to analyze a complex system for  wide data observation. In remote sensing, machine learning method could be  used for image data classification with software tools independence. This research aims to classify the distribution, type, and area of mangroves using Akaike Information Criterion approach for case study in Nusa Lembongan Island. This study is important because mangrove forests have an important role ecologically, economically, and socially. For example is as a green belt for protection of coastline from storm and tsunami wave. Using satellite images Worldview-2 with data resolution of 0.46 meters, this method could identify automatically land class, sea class/water, and mangroves class. Three types of mangrove have been identified namely: Rhizophora apiculata, Sonnetaria alba, and other mangrove species. The result showed that the accuracy of classification was about 68.32%.

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