RGB-NDVI color composites for monitoring the change in mangrove area at the Maubesi Nature Reserve, Indonesia

Pujiono, Eko; Kwak, Do Won; Lee, Woo‐Kyun; Sulistyanto,; Kim, So Ra; Lee, Jong Yeol; Lee, Seung Ho; Park, Taejin; Kim, Moon Il

doi:10.1080/21580103.2013.842327

Cited by 15 publications

(14 citation statements)

References 12 publications

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“…Vegetasi ditandai dengan nilai NDVI yang tinggi. Sebaliknya, badan air diwakili dengan nilai NDVI negatif karena penyerapan elektromagnetik oleh air (Pujiono et al, 2013). Indeks vegetasi untuk tumbuhan hijau secara umum nilainya sekitar 0,1 sampai dengan 0,7 (Prahasta, 2008).…”

Section: Indeks Vegetasi Ndviunclassified

Studi Kerapatan Dan Perubahan Tutupan Mangrove Menggunakan Citra Satelit Di Pulau Sebatik Kalimantan Utara

Hendrawan

Gaol

Susilo

2018

J. Ilmu dan Teknologi Kelautan Tropis

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Mangrove forest is a susceptive ecosystem which needs continuous monitoring to detect various threats such as human activities and natural disasters. Remote sensing and geographical information system (GIS) are very effective tools to be used in monitoring mangrove ecosystem due to they can reach large areas and periodically. Application of remote sensing technology to monitor mangrove ecosystem in Sebatik Island had never been conducted before. This research is important to be carried out to reveal changes in condition of mangrove forest in Sebatik Island. Aims of this research were analyzing the correlation between Normalized Different Vegetation Index (NDVI) values and its canopy cover percentages, calculated the accuracy of land cover classification with different spatial resolution, and measuring the changes of mangrove covers from 2005 to 2016. Land cover classification in this research used supervised classification with Maximum Likelihood algorithm. The NDVI was used as mangrove density indicator and vegetation condition. Field data measurement was taken to count canopy cover. The accuracy of Landsat images classification was about 83% and the SPOT 6 images around of 90%. Mangrove forest in Sebatik Island had increased from 2005 to 2016 as high as 31.27%. The correlation between NDVI and canopy percent cover were categorized as high with their coeficient correlation r=0.82 (Landsat 8) and 0.85 (SPOT 6). ABSTRAKHutan mangrove merupakan ekosistem yang rentan sehingga membutuhkan pemantauan terus menerus untuk mendeteksi berbagai ancaman seperti aktivitas manusia dan bencana alam. Pengindraan jauh dan sistem informasi geografis (SIG) merupakan alat yang sangat efektif untuk digunakan dalam pemantauan ekosistem mangrove karena dapat menjangkau daerah yang luas dan dapat dilakukan sekala berkala. Penerapan teknologi pengindraan jauh untuk memantau ekosistem mangrove di Pulau Sebatik belum pernah dilakukan sebelumnya. Penelitian ini penting untuk mengetahui perubahan kondisi hutan mangrove di Pulau Sebatik. Tujuan dari penelitian ini adalah menganalisis korelasi antara nilai Normalized Different Vegetation Index (NDVI) dan persentase tutupan kanopi mangrove, menghitung akurasi klasifikasi tutupan lahan dengan resolusi spasial yang berbeda, dan mengukur perubahan sebaran mangrove dari tahun 2005 sampai 2016. Klasifikasi tutupan lahan dalam penelitian ini menggunakan klasifikasi terbimbing dengan algoritma Maximum Likelihood. NDVI digunakan sebagai indikator kerapatan tutupan mangrove. Pengukuran data lapangan diambil untuk menghitung tutupan kanopi. Penilaian akurasi klasifikasi citra Landsat sekitar 83% dan citra SPOT 6 sekitar 90%. Mangrove di Pulau Sebatik mengalami peningkatan dari tahun 2005 sampai 2016 sebesar 31,27%. Korelasi antara NDVI dan tutupan kanopi dikategorikan tinggi dengan koefisien korelasi r = 0,82 (Landsat 8) dan 0,85 (SPOT 6).

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Section: Indeks Vegetasi Ndviunclassified

Studi Kerapatan Dan Perubahan Tutupan Mangrove Menggunakan Citra Satelit Di Pulau Sebatik Kalimantan Utara

Hendrawan

Gaol

Susilo

2018

J. Ilmu dan Teknologi Kelautan Tropis

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“…However, coastal vegetation ecosystems, especially the interior of mangrove forests, are often difficult to access. To overcome this challenge, many researchers use remote sensing technology to monitor and analyze coastal ecosystems [1,2]. Satellite remote sensing data, e.g., Sentinel series, can provide multi-spectral and historical observations, but due to relatively low spatial resolution, mangroves are difficult to distinguish from adjacent thorn scrubs from satellite sensors [2,3].…”

Section: Introductionmentioning

confidence: 99%

Using Object-Oriented Classification for Coastal Management in the East Central Coast of Florida: A Quantitative Comparison between UAV, Satellite, and Aerial Data

Yang

Hawthorne

Torres

et al. 2019

Drones

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High resolution mapping of coastal habitats is invaluable for resource inventory, change detection, and inventory of aquaculture applications. However, coastal areas, especially the interior of mangroves, are often difficult to access. An Unmanned Aerial Vehicle (UAV), equipped with a multispectral sensor, affords an opportunity to improve upon satellite imagery for coastal management because of the very high spatial resolution, multispectral capability, and opportunity to collect real-time observations. Despite the recent and rapid development of UAV mapping applications, few articles have quantitatively compared how much improvement there is of UAV multispectral mapping methods compared to more conventional remote sensing data such as satellite imagery. The objective of this paper is to quantitatively demonstrate the improvements of a multispectral UAV mapping technique for higher resolution images used for advanced mapping and assessing coastal land cover. We performed multispectral UAV mapping fieldwork trials over Indian River Lagoon along the central Atlantic coast of Florida. Ground Control Points (GCPs) were collected to generate a rigorous geo-referenced dataset of UAV imagery and support comparison to geo-referenced satellite and aerial imagery. Multi-spectral satellite imagery (Sentinel-2) was also acquired to map land cover for the same region. NDVI and object-oriented classification methods were used for comparison between UAV and satellite mapping capabilities. Compared with aerial images acquired from Florida Department of Environmental Protection, the UAV multi-spectral mapping method used in this study provided advanced information of the physical conditions of the study area, an improved land feature delineation, and a significantly better mapping product than satellite imagery with coarser resolution. The study demonstrates a replicable UAV multi-spectral mapping method useful for study sites that lack high quality data.

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“…They will apparently need some proof and warranty that silvofishery system will not reduce their productivity. To answer this question, the study conducted by Kupang Forest Research Institute in 2009 found that the fish weight in the silvofishery system is greater than that of the traditional fishpond (Pujiono et al 2013). In addition, during the first two years of observation, the growth rate of mangrove species (Rhizophora mucronata Lam.)…”

Section: Discussionmentioning

confidence: 99%

“…Another approach to accommodate those purposes is to re-introduce a system that combines the fishpond (for fish farming and/or shrimp) with mangrove trees in the pond, called silvofishery (Pujiono et al 2013). In Indonesia, a silvofishery system has been applied since the early 1990s (Wetland International-The Green Coast Project 2006).…”

Section: Discussionmentioning

confidence: 99%

“…Several studies by Xu (2006), Li et al (2013), Szabo et al (2016), and Gao et al (2016) have been conducted in an attempt to utilize the NDWI as a tool to extract the waterbody content in order to map the land surface water with acceptable results. The NDVI was used to indicate the green vegetation presents in the pixel to classify vegetated and non-vegetated areas (Verrelst et al 2008;Bhandari et al 2012;Pujiono et al 2013). …”

Section: Ndvi and Ndwimentioning

confidence: 99%

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Assessment of the successfulness of mangrove plantation program through the use of open source software and freely available satellite

Nursamsi

Komala

2017

Nusantara Biosci

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Nursamsi I, Komala WR.2017. Assessment of the successfulness of mangrove plantation program through the use of open source software and freely available satellite images. Nusantara Bioscience 9: 251-259. Mangrove forest has a major role in the process of human-environment interaction, but almost every mangrove forest in the world is under threat. In Indonesia alone, 25% of South East Asiaâ€™s mangroves are at a risk. The continued decline in mangrove forest induced by anthropogenic activity has made all the stakeholders who have the concern at the mangrove forest preservation worried, including the government. There were several programs have been performed by the government to preserve the mangrove forest. One of the programs was â€œMangrove Rehabilitation Program in three districts: Ciamis, Indramayu, and Subangâ€ held by Forestry Department of West Java Province in 2007. The aims of this study were to assess the changes in mangrove forest area before the program performed and to evaluate the successfulness of the program, using the increasing of mangrove forest area as a parameter. This study was conducted only in Subang and Indramayu Districts of West Java, Indonesia. The assessment was conducted using Landsat 4-5 TM, Landsat 7 ETM+, and Landsat 8 OLI acquired in 1996, 2006, and 2016 respectively. For each image, a supervised classification method was performed using open source GRASS GIS software. The resulting maps were then compared to quantify the changes. Field work activity conducted and confirmed the changes that occurred in the study areas. Our study shows that all of the two districts exhibit successfulness of the plantation program. Ground truth survey confirmed that the successfulness of the plantation program is due to the participation of communities in the area of study. This study also shows that by using open source software and freely available satellite images, the fast, robust, and reliable data as an initial step to monitor both short-term and long-term plantation program can be collected effectively and inexpensively.

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RGB-NDVI color composites for monitoring the change in mangrove area at the Maubesi Nature Reserve, Indonesia

Cited by 15 publications

References 12 publications

Studi Kerapatan Dan Perubahan Tutupan Mangrove Menggunakan Citra Satelit Di Pulau Sebatik Kalimantan Utara

Studi Kerapatan Dan Perubahan Tutupan Mangrove Menggunakan Citra Satelit Di Pulau Sebatik Kalimantan Utara

Using Object-Oriented Classification for Coastal Management in the East Central Coast of Florida: A Quantitative Comparison between UAV, Satellite, and Aerial Data

Assessment of the successfulness of mangrove plantation program through the use of open source software and freely available satellite

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