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Journal articles on the topic 'Mapping mangrove'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Amad, Fatimah Shafinaz, Mohd Zulkifli Mohd Yunus, Ahmad Khairi Abd Wahab, Nuremira Ibrahim, and Izni Izati Mohamad. "Mapping the Mangrove Vulnerability Index Using Geographical Information System." International Journal of Innovative Computing 11, no. 1 (2021): 69–81. http://dx.doi.org/10.11113/ijic.v11n1.309.

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A mangrove vulnerability assessment's goal is to generate recommendations for reducing vulnerability. Mangrove forests, which grow in the intertidal zones and estuary mouths between land and sea, exist in two worlds at once. Mangroves provide crucial stability for preventing shoreline erosion. It helps to maintain land level by sediment accretion while balancing sediment loss by serving as buffers catching materials washed downstream. Climate change, especially the associated increase in sea level, poses a serious threat to mangrove coastal areas, and it is critical to devise strategies to mit

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Fattah, Mochammad, Candra Adi Intyas, Tiwi Nurjannati Utami, Dwi Sofiati, and Kartika Intan Abdillah. "PEMETAAN POSISI KEUNGGULAN EKOWISATA BEE JAY BAKAU RESORT." Jurnal Penelitian Sosial dan Ekonomi Kehutanan 18, no. 2 (2021): 129–39. http://dx.doi.org/10.20886/jpsek.2021.18.2.129-139.

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Bee Jay Bakau Resort (BJBR) is one of the main tourist destinations in Probolinggo City that utilizes the mangrove ecosystem. The study aims to analyze the advantages position mapping of BJBR. The study uses correlational approach with accidental sampling of 70 respondents. Data were analyzed by using exploratory factor analysis (EFA) and correspondence analysis (CA) with 16 attributes. This study assessed three mangrove ecotourism sites in East Java. The main factors that influence tourists visiting BJBR are tourist attractions, prices, tourism completeness and safety, mangrove preservation,

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Ayub, Ayub Sugara, Feri Nugroho, An Nisa Nurul Suci, and Ari Anggoro. "Utilization of Unmanned Aerial Vehicle (UAV) Technology for Mapping Mangrove Ecosystem." Journal of Sylva Indonesiana 4, no. 02 (2021): 70–77. http://dx.doi.org/10.32734/jsi.v4i02.6149.

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Technological developments, especially in remote sensing in mangrove mapping are growing. One of them is the use of Unmanned Aerial Vehicle (UAV) as a vehicle for capturing aerial photo data. This study aims to map the mangrove ecosystem in order to find out spatial information with UAV technology and to identify mangrove species, distribution, and associations. The ground survey was conducted on 02 until 04 May 2019 in North of Lancang Island, Seribu Islands, DKI Jakarta Province. The mangrove data collection was carried out in four stations with marking, tracking the mangrove area and drone

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Zablan, C. D. C., A. C. Blanco, K. Nadaoka, K. P. Martinez, and A. B. Baloloy. "ASSESSMENT OF MANGROVE EXTENT EXTRACTION ACCURACY OF THRESHOLD SEGMENTATION-BASED INDICES USING SENTINEL IMAGERY." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W6-2022 (February 7, 2023): 391–401. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w6-2022-391-2023.

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Abstract. Mangroves have been protecting coastlines, nourishing wildlife, and capturing carbon for climate regulation. The decline of mangroves calls for action to rapidly and accurately monitor them. Remote Sensing makes it possible to remotely monitor mangroves from images captured from space. Sentinel-1 and Sentinel-2 are examples of remote sensing satellites and there is extensive research on their land cover mapping capabilities, including mangrove mapping. While machine learning is a popular methodology for mangrove mapping (e.g., the use of Random Forest) there exist simpler techniques,

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Pillodar, Fejaycris, Peter Suson, Maricar Aguilos, and Ruben Amparado. "Mangrove Resource Mapping Using Remote Sensing in the Philippines: A Systematic Review and Meta-Analysis." Forests 14, no. 6 (2023): 1080. http://dx.doi.org/10.3390/f14061080.

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In spite of their importance, mangroves are still threatened by a significant reduction in global forest cover due to conversion to non-forest land uses. To implement robust policies and actions in mangrove conservation, quantitative methods in monitoring mangrove attributes are vital. This study intends to study the trend in mangrove resource mapping using remote sensing (RS) to determine the appropriate methods and datasets to be used in monitoring the distribution, aboveground biomass (AGB), and carbon stock (CS) in mangroves. A meta-analysis of several research publications related to mang

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Yancho, J. Maxwell M., Trevor Gareth Jones, Samir R. Gandhi, Colin Ferster, Alice Lin, and Leah Glass. "The Google Earth Engine Mangrove Mapping Methodology (GEEMMM)." Remote Sensing 12, no. 22 (2020): 3758. http://dx.doi.org/10.3390/rs12223758.

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Mangroves are found globally throughout tropical and sub-tropical inter-tidal coastlines. These highly biodiverse and carbon-dense ecosystems have multi-faceted value, providing critical goods and services to millions living in coastal communities and making significant contributions to global climate change mitigation through carbon sequestration and storage. Despite their many values, mangrove loss continues to be widespread in many regions due primarily to anthropogenic activities. Accessible, intuitive tools that enable coastal managers to map and monitor mangrove cover are needed to stem

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Rahmawati, Azelia Dwi. "Vegetation-Water-Built Up Index Combined: Algorithm Indices Combination for Characterization and distribution of Mangrove Forest through Google Earth Engine." CELEBES Agricultural 3, no. 1 (2022): 20–42. http://dx.doi.org/10.52045/jca.v3i1.298.

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Mangroves that live in ecotone areas have a fairly significant role in the economy and ecology. This strategic role requires spatial data to facilitate the management and development of mangrove areas. The mangrove mapping process usually uses a manual method, namely through software, and has shortcomings and limitations in image management that require massive data storage. Cloud computing-based Google Earth Engine (GEE) mapping platform can manage images with an extensive scope and spatiotemporal data processing. However, this platform requires index formulas or combinations to help classify

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8

Ayub, Ayub Sugara, Ari Anggoro, Agung Hasan Lukman, et al. "Mapping The Potential of Mangrove Planting in The Rehabilitation of Coastal Ecosystems Using Drone Technology." Journal of Sylva Indonesiana 6, no. 02 (2023): 164–77. http://dx.doi.org/10.32734/jsi.v6i02.10515.

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Mangroves, as one of the vegetation types that is a natural stronghold from coastal disasters, also function as a shelter and find food for various biota in coastal ecosystems. Therefore, protecting the mangrove ecosystem from degradation is very important. One effort that needs is ecosystem rehabilitation through mangrove planting in coastal environments. To support it, a design was devised using drones and remote-sensing vehicles to assist in making mangrove planting designs. This research was conducted in Jenggalu Estuary, Gading Cempaka District, Bengkulu City. This research aims to study

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Rahmandhana, Arie Dwika, Muhammad Kamal, and Pramaditya Wicaksono. "Spectral Reflectance-Based Mangrove Species Mapping from WorldView-2 Imagery of Karimunjawa and Kemujan Island, Central Java Province, Indonesia." Remote Sensing 14, no. 1 (2022): 183. http://dx.doi.org/10.3390/rs14010183.

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Mangrove mapping at the species level enables the creation of a detailed inventory of mangrove forest biodiversity and supports coastal ecosystem management. The Karimunjawa National Park in Central Java Province is one of Indonesia’s mangrove habitats with high biodiversity, namely, 44 species representing 25 true mangroves and 19 mangrove associates. This study aims to (1) classify and group mangrove species by their spectral reflectance characteristics, (2) map mangrove species by applying their spectral reflectance to WorldView-2 satellite imagery with the spectral angle mapper (SAM), spec

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Husna, Jazimatul, Ima Wijayanti, Liliek Budiastusi Wiratmo, et al. "Mapping the Scientific Literature on Mangrove Conservation in Indonesia: A Bibliometric Analysis to Environmental Research." E3S Web of Conferences 448 (2023): 03036. http://dx.doi.org/10.1051/e3sconf/202344803036.

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In 2022, the Global Mangrove Alliance (GMA) released the latest map of the world's mangroves. Southeast Asia is home to the most extensive mangrove forests, with Indonesia contributing one-fifth of the world's total mangrove area. Given this, government policies and in-depth studies are needed. The purpose of this study is to contribute to and complement the studies conducted by previous researchers. This study uses the bibliometric analysis methodology with VOSviewer and the biblioshiny package in RStudio. This study investigates the development of international publications and research on m

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Yevugah, Lily L., Edward M. Osei Jnr., John Ayer, and Joshua Osei Nti. "Spatial Mapping of Carbon Stock in Riverine Mangroves Along Amanzule River in the Ellembelle District of Ghana." Earth Science Research 6, no. 1 (2017): 120. http://dx.doi.org/10.5539/esr.v6n1p120.

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Compared to other wetland ecosystems mangroves are well known for their numerous ecosystem services, especially carbon pool. In Ghana, there is limited information on the sequestered carbon in mangroves. There is increasing interest on national climate change mitigation and adaptation plans in mangroves in developing nations, and Ellembelle in the Western Region of Ghana is of no exception. Ellembelle is one of the areas with little information on the size and variation of mangrove carbon stock which needs to be addressed. This research is aimed at determining the carbon stock from the carbon

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Alfiansyah, Muhamad, I. Wayan Nuarsa, and Ida Bagus Mandhara Brasika. "Perbandingan Beberapa Metode Klasifikasi Menggunakan Citra Landsat dan Sentinel Untuk Pemetaan Sebaran Mangrove Di Kawasan Ekowisata Mangrove PIK Jakarta Utara." Journal of Marine and Aquatic Sciences 9, no. 1 (2023): 82. http://dx.doi.org/10.24843/jmas.2023.v09.i01.p09.

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Mangroves are one of the coastal ecosystems that have many functions and have a very large role for living things associated with mangroves. One of the mangrove ecosystems in DKI Jakarta is in the Mangrove Ecotourism Area of the Sedyatmo Toll Road, North Jakarta. Remote sensing technology is the right method for mangrove monitoring activities that are efficient, effective and wide area coverage. Mangrove mapping is one of the remote sensing techniques to determine the distribution of mangroves in a region. This study aims to assess mangroves and compare the accuracy of the supervised classific

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Abdurrahman, U., I. F. Pratyaksa, A. A. Nur, C. K. Jeon, I. M. Radjawane, and H. S. Park. "Mangrove mapping and carbon stock estimation at Taman Wisata Alam Mangrove, Angke Kapuk, North Jakarta, Indonesia." IOP Conference Series: Earth and Environmental Science 1410, no. 1 (2024): 012041. http://dx.doi.org/10.1088/1755-1315/1410/1/012041.

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Abstract Taman Wisata Alam Mangrove (TWAM) is a mangrove conservation area located in North Jakarta, Indonesia, and its existence is very important due to its various ecological benefits that ensure the sustainability of the coastal area. Recently, mangroves have been recognized for their significant carbon sequestration capabilities, thereby contributing significantly to climate change mitigation efforts. This study aims to map mangrove cover, estimate biomass and carbon stock in TWAM mangrove. TWAM mangroves were mapped using consumer-grade drones and freely available satellite imagery. In a

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Pasaribu, Roberto Patar, Aris Kabul Pranoto, Roni Sewiko, and Elfa Afwafiah. "MAPPING THE DISTRIBUTION OF MANGROVE BY REMOTE SENSING IN THE COASTAL OF KARAWANG REGENCY." Asian Journal of Aquatic Sciences 5, no. 2 (2022): 160–68. http://dx.doi.org/10.31258/ajoas.5.2.160-168.

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Mangroves are forest vegetation that grows between tidal lines so that mangrove forests are also called tidal forests. Mangrove ecosystems have high biodiversity. The mangrove ecosystem has a physical function to protect the coast from abrasion and erosion, this ecosystem also has ecological and economic value. The purpose of this study was to determine the condition and extent of mangrove distribution on the coast of Karawang Regency. The research was carried out on the coast of Karawang Regency from March to June 2021. The data used is primary data by directly observing the research location

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Permana, Sendi, Meilinda Suriani Harefa, Eling Tuhono, et al. "Community Participation in Mangrove Conservation: the Evidence from Blang Sebel, Simeulue." IOP Conference Series: Earth and Environmental Science 1406, no. 1 (2024): 012012. http://dx.doi.org/10.1088/1755-1315/1406/1/012012.

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Abstract Yayasan Konservasi Pesisir Indonesia (Yakopi) is one of the non-profit organizations that focuses on mangrove conservation in Indonesia. The mangrove restoration program that has been carried out by Yakopi for the Simeulue Regency Region, especially Blang Sebel Village, is planting mangroves covering 19.19 hectares. Therefore, other tools are needed to complement the planting program through mangrove zoning mapping and making village regulations for mangrove protection. This research approach is qualitative using the Participatory Rural Appraisal (PRA) method. The data collection tech

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Gijón Mancheño, Alejandra, Peter M. J. Herman, Sebastiaan N. Jonkman, Swarna Kazi, Ignacio Urrutia, and Mathijs van Ledden. "Mapping Mangrove Opportunities with Open Access Data: A Case Study for Bangladesh." Sustainability 13, no. 15 (2021): 8212. http://dx.doi.org/10.3390/su13158212.

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Mangroves protect coastal areas against hazards like storms or cyclones by attenuating waves and currents, and by trapping floating debris during extreme events. Bangladesh is a very vulnerable country to floods and cyclones, and part of its coastal system is thus being upgraded to a higher safety standard. These upgrades include embankment reinforcement and mangrove afforestation schemes seawards of the embankments. To further strengthen the implementation of combined green–grey infrastructure in future programs, identifying potential mangrove development sites near the polder systems is a ne

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Wei, Yidi, Yongcun Cheng, Xiaobin Yin, Qing Xu, Jiangchen Ke, and Xueding Li. "Deep Learning-Based Classification of High-Resolution Satellite Images for Mangrove Mapping." Applied Sciences 13, no. 14 (2023): 8526. http://dx.doi.org/10.3390/app13148526.

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Detailed information about mangroves is crucial for ecological and environmental protection and sustainable development. It is difficult to capture small patches of mangroves from satellite images with relatively low to medium resolution. In this study, high-resolution (0.8–2 m) images from Chinese GaoFen (GF) and ZiYuan (ZY) series satellites were used to map the distribution of mangroves in coastal areas of Guangdong Province, China. A deep-learning network, U2-Net, with attention gates was applied to extract multi-scale information of mangroves from satellite images. The results showed that

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Pham, Tien, Naoto Yokoya, Dieu Bui, Kunihiko Yoshino, and Daniel Friess. "Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges." Remote Sensing 11, no. 3 (2019): 230. http://dx.doi.org/10.3390/rs11030230.

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The mangrove ecosystem plays a vital role in the global carbon cycle, by reducing greenhouse gas emissions and mitigating the impacts of climate change. However, mangroves have been lost worldwide, resulting in substantial carbon stock losses. Additionally, some aspects of the mangrove ecosystem remain poorly characterized compared to other forest ecosystems due to practical difficulties in measuring and monitoring mangrove biomass and their carbon stocks. Without a quantitative method for effectively monitoring biophysical parameters and carbon stocks in mangroves, robust policies and actions

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Xia, Qing, Cheng-Zhi Qin, He Li, Chong Huang, and Fen-Zhen Su. "Mapping Mangrove Forests Based on Multi-Tidal High-Resolution Satellite Imagery." Remote Sensing 10, no. 9 (2018): 1343. http://dx.doi.org/10.3390/rs10091343.

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Mangrove forests, which are essential for stabilizing coastal ecosystems, have been suffering from a dramatic decline over the past several decades. Mapping mangrove forests using satellite imagery is an efficient way to provide key data for mangrove forest conservation. Since mangrove forests are periodically submerged by tides, current methods of mapping mangrove forests, which are normally based on single-date, remote-sensing imagery, often underestimate the spatial distribution of mangrove forests, especially when the images used were recorded during high-tide periods. In this paper, we pr

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Suyarso and Praditya Avianto. "AMMI Automatic Mangrove Map and Index: Novelty for Efficiently Monitoring Mangrove Changes with the Case Study in Musi Delta, South Sumatra, Indonesia." International Journal of Forestry Research 2022 (December 8, 2022): 1–14. http://dx.doi.org/10.1155/2022/8103242.

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Mapping mangroves using satellite imagery has been done for decades. It helps reduce obstacles in inaccessible places caused by the mangroves’ intricate root system, thick mud, and loss of position signals. There is an urgent need to produce a mangrove map that automatically and accurately covers the mangroves with the density index of the canopy as visually represented in satellite imagery. The research was conducted through an analytical desk study of the mangrove features from space. The study aims to develop a simple formula for automatically tracing, capturing, and mapping mangroves and d

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Mayunga, J. S., and G. A. Uhinga. "MAPPING SPATIOTEMPORAL DISTRIBUTION OF MANGROVES IN MAFIA ISLAND IN TANZANIA USING LANDSAT IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W8 (July 11, 2018): 133–38. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w8-133-2018.

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<p><strong>Abstract.</strong> Mangroves are important for survival of coastal communities as they provide ecosystem services that support coastal population and their livelihoods. Most coastal communities largely depend on ecosystem services provided by mangroves such as fuel wood, building poles, charcoal, and also mangroves provide spawning ground for coastal fishes. Most importantly mangroves act as a buffer that protects coastal communities from natural hazards such as tropical storms, strong winds, beach erosion, and even tsunami. Despite the important role that mangrove

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Neri, M. P., A. B. Baloloy, and A. C. Blanco. "LIMITATION ASSESSMENT AND WORKFLOW REFINEMENT OF THE MANGROVE VEGETATION INDEX (MVI)-BASED MAPPING METHODOLOGY USING SENTINEL-2 IMAGERY." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-4/W6-2021 (November 18, 2021): 235–42. http://dx.doi.org/10.5194/isprs-archives-xlvi-4-w6-2021-235-2021.

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Abstract. The Mangrove Vegetation Index (MVI) was developed to map mangroves extent from remotely-sensed imageries accurately and quickly. MVI measures the probability of a pixel to be a ‘mangrove’ by extracting the greenness and moisture information from the green, NIR, and SWIR bands. The range of MVI values may vary depending on factors such as land cover classes, climatic conditions, or tidal conditions. Mapping the scope of mangrove sites involves setting a maximum and minimum MVI threshold to separate them from other land cover classes and vegetation. Although the MVI has a high index ac

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Putra, Risandi Dwirama, Herlanto Sihar Napitupulu, Aditya Hikmat Nugraha, Mario Putra Suhana, Abdul Rahman Ritonga, and Tengku Ersti Yulika Sari. "Pemetaan Luasan Hutan Mangrove Dengan Menggunakan Citra Satelit Di Pulau Mapur, Provinsi Kepulauan Riau." Jurnal Kelautan Tropis 25, no. 1 (2022): 20–30. http://dx.doi.org/10.14710/jkt.v25i1.12294.

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Mapping can be used as an alternative solution to find out the distribution map of the mangrove ecosystem by utilizing remote sensing technology and can provide value to the mangrove ecosystem. The purpose of this study was to map the distribution of mangrove ecosystems on Mapur Island. Sentinel-2b image is one of the satellite imageries had performance used to analyze the distribution of mangrove ecosystems. The mapping of the distribution of mangroves on Mapur Island shows that the mangrove ecosystem is distributed from the east to the northwest of Mapur Island. The northern part of Mapur Is

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Hu, Tianyu, YingYing Zhang, Yanjun Su, Yi Zheng, Guanghui Lin, and Qinghua Guo. "Mapping the Global Mangrove Forest Aboveground Biomass Using Multisource Remote Sensing Data." Remote Sensing 12, no. 10 (2020): 1690. http://dx.doi.org/10.3390/rs12101690.

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Mangrove forest ecosystems are distributed at the land–sea interface in tropical and subtropical regions and play an important role in carbon cycles and biodiversity. Accurately mapping global mangrove aboveground biomass (AGB) will help us understand how mangrove ecosystems are affected by the impacts of climatic change and human activities. Light detection and ranging (LiDAR) techniques have been proven to accurately capture the three-dimensional structure of mangroves and LiDAR can estimate forest AGB with high accuracy. In this study, we produced a global mangrove forest AGB map for 2004 a

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Amel, Amelia Luthfi Kamil, La Ode Alam Minsaris, and Della Ayu Lestari. "MAPPING THE DISTRIBUTION OF MANGROVES IN SERANG REGENCY USING REMOTE SENSING (CASE STUDY OF PULAU PANJANG)." JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI 14, no. 1 (2023): 153–58. http://dx.doi.org/10.51903/jtikp.v14i1.535.

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Mangroves are a multifunctional coastal ecosystem in coastal areas. Mangrove ecosystems can adapt to extreme coastal conditions, but are highly vulnerable to hazards such as regional degradation, species degradation, conflicts of interest, exploitation, and excessive mangrove use. Remote identification can help obtain the latest data related to the area of mangrove areas with time criteria and coverage of certain areas. The remote sensing used is Google Earth Engine (GEE). This study aims to be able to determine changes in the area of mangrove distribution and the level of density of mangrove

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Nordin, Nur Hazimah, Ainul Husna Abdul Rahman, Norshahriah Abdul Wahab, et al. "Monitoring of mangroves changes in Pulau Kukup using geographical information system (GIS)." IOP Conference Series: Earth and Environmental Science 1064, no. 1 (2022): 012009. http://dx.doi.org/10.1088/1755-1315/1064/1/012009.

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Abstract Mangroves forests provide a support to the coastal livelihood, ecosystem, socioeconomic and also the environment. In Malaysia, the mangroves forest has been in declining rate causes by a few factor such as conversion to shrimps ponds, urban development and tourism. Such threats led to increasing demand for detailed mangrove maps for the purpose of measuring the extent of deterioration of the mangrove ecosystem. However, it is difficult to produce a detailed mangrove map mainly because mangrove forest is very difficult to access. Remote sensing technology provides a genuine alternative

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Faizal, Ahmad, Nita Mutmainna, Muh Anshar Amran, Amran Saru, Khairul Amri, and Muh Nastsir Nessa. "Application of NDVI Transformation on Sentinel 2A Imagery for mapping mangrove conditions in Makassar City." Akuatikisle: Jurnal Akuakultur, Pesisir dan Pulau-Pulau Kecil 7, no. 1 (2023): 59–66. http://dx.doi.org/10.29239/j.akuatikisle.7.1.59-66.

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Mangrove ecosystems consist of tropical plants that have adapted to the salinity, tidal fluctuations, and loose soil condition. Identification of mangrove ecosystems can be carried out by direct survey methods or by utilizing remote sensing technology. This study aims to map the area, percent cover, and density of mangroves in Makassar City using Sentinel 2A Imagery. The method used is the NDVI transformation, followed by Unsupervised-ISODATA classification, ground check with the 10 x 10-meter plotting method, and hemispherical photography. The results showed that the existence of mangroves in

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Febriandi, Febriandi. "The Estimation of Mangroves Area and Density of Mangroves Changes Use the Remote Sensing Data at Northheast Province of Aceh, Indonesia." Sumatra Journal of Disaster, Geography and Geography Education 1, no. 1 (2017): 105. http://dx.doi.org/10.24036/sjdgge.v1i1.43.

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The aim of the research to mapping mangrove estimate mangroves area in time series data at the years 2000, 2005, 2011, and 2015, and looking for density of mangroves changing at the Northeast Province of Aceh. The methodology use data Landsat TM5, OLI TIRS, Administration map, and tools use by ENVI 4.5, ArcGIS 10.1, technical analysis to interpretation mangroves area used the algorithm the maximum likelihood classification, Kernel density to calculate density of mangroves changing. Result of the research. From the estimation of mangrove land with intrepetasi satellite imagery obtained by maxim

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Sun, Ziyu, Weiguo Jiang, Ziyan Ling, et al. "Using Multisource High-Resolution Remote Sensing Data (2 m) with a Habitat–Tide–Semantic Segmentation Approach for Mangrove Mapping." Remote Sensing 15, no. 22 (2023): 5271. http://dx.doi.org/10.3390/rs15225271.

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Mangrove wetlands are hotspots of global biodiversity and blue carbon reserves in coastal wetlands, with unique ecological functions and significant socioeconomic value. Annual fine-scale monitoring of mangroves is crucial for evaluating national conservation programs and implementing sustainable mangrove management strategies. However, annual fine-scale mapping of mangroves over large areas using remote sensing remains a challenge due to spectral similarities with coastal vegetation, tidal periodic fluctuations, and the need for consistent and dependable samples across different years. In pre

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Chan-Bagot, Kim, Kelsey E. Herndon, Andréa Puzzi Nicolau, et al. "Integrating SAR, Optical, and Machine Learning for Enhanced Coastal Mangrove Monitoring in Guyana." Remote Sensing 16, no. 3 (2024): 542. http://dx.doi.org/10.3390/rs16030542.

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Mangrove forests are a biodiverse ecosystem known for a wide variety of crucial ecological services, including carbon sequestration, coastal erosion control, and prevention of saltwater intrusion. Given the ecological importance of mangrove forests, a comprehensive and up-to-date mangrove extent mapping at broad geographic scales is needed to define mangrove forest changes, assess their implications, and support restoration activities and decision making. The main objective of this study is to evaluate mangrove classifications derived from a combination of Landsat-8 OLI, Sentinel-2, and Sentin

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Liu, Cheng-Chien, Tsai-Wen Hsu, Hui-Lin Wen, and Kung-Hwa Wang. "Mapping Pure Mangrove Patches in Small Corridors and Sandbanks Using Airborne Hyperspectral Imagery." Remote Sensing 11, no. 5 (2019): 592. http://dx.doi.org/10.3390/rs11050592.

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Taijiang National Park (TNP) of Taiwan is the northernmost geographical position of mangrove habitats in the Northern Hemisphere. Instead of occupying a vast region with a single species, the mangroves in TNP are usually mingled with other plants in a narrow corridor along the water or in groups on a small sandbank. The multi-spectral images acquired from the spaceborne platforms are therefore limited in mapping the abundance and distribution of the mangrove species in TNP. We report the work of mapping pure mangrove patches in small corridors and sandbanks in TNP using airborne Compact Airbor

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Conopio, M., A. B. Baloloy, J. Medina, and A. C. Blanco. "SPATIO-TEMPORAL MAPPING AND ANALYSIS OF MANGROVE EXTENTS AROUND MANILA BAY USING LANDSAT SATELLITE IMAGERY AND MANGROVE VEGETATION INDEX (MVI)." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-4/W6-2021 (November 18, 2021): 103–8. http://dx.doi.org/10.5194/isprs-archives-xlvi-4-w6-2021-103-2021.

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Abstract. Mangroves are considered one of the most undervalued ecosystems in the world. It provides shelter to a wide range of species and protection from natural hazards to coastal communities. The Philippines, being a country with long coastlines, benefits greatly from mangroves. Historically, it had 400,000–500,000 hectares of mangroves forest in 1920, which declined to 120,000 hectares in 1994 due to rapid industrialization, particularly the conversion of these forests into aquaculture such as fishponds Mangrove forest in the Philippines saw a rapid decline between 1920 and 1994 due to aqu

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Meron, Shahna Qintania, and Triyatno Triyatno. "UTILIZATION OF SENTINEL-2A IMAGERY FOR MAPPING THE DISTRIBUTION OF MANGROVE FORESTS IN THE MANDEH AREA, WEST SUMATERA PROVINCE." International Remote Sensing Applied Journal 3, no. 2 (2023): 49–54. http://dx.doi.org/10.24036/irsaj.v3i2.35.

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Mangroves are a part of the coastal ecosystem, mangroves play an important role in coastal ecosystems where the presence of mangroves can prevent abrasion. This study aims to identify the distribution of mangroves in the Mandeh Area using Sentinel 2A Imagery data assisted by geospatial technology tools. The methods used in this research are Normalized Difference Vegetation Index (NDVI), overlay, and maximum likelihood guided classification, these three methods are a combination of techniques from remote sensing and geographic information systems. The results of the study show that in 2015 the

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Zhang, Tao, Shanshan Hu, Yun He, et al. "A Fine-Scale Mangrove Map of China Derived from 2-Meter Resolution Satellite Observations and Field Data." ISPRS International Journal of Geo-Information 10, no. 2 (2021): 92. http://dx.doi.org/10.3390/ijgi10020092.

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Mangrove forests are important ecosystems in the coastal intertidal zone, but China’s mangroves have experienced a large reduction in area from the 1950s, and the remaining mangrove forests are exhibiting increased fragmentation. A detailed mangrove dataset of China is crucial for mangrove ecosystem management and protection, but the fragmented mangrove patches are hardly mapped by medium resolution satellite imagery. To overcome these difficulties, we presented a fine-scale mangrove map for 2018 using the 2-meter resolution Gaofen-1 and Ziyuan-3 satellite imagery together with field data. We

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Perea-Ardila, M. A., F. Oviedo-Barrero, and J. Leal-Villamil. "Cartografía de bosques de manglar mediante imágenes de sensores remotos: estudio de caso Buenaventura, Colombia." Revista de Teledetección, no. 53 (June 27, 2019): 73. http://dx.doi.org/10.4995/raet.2019.11684.

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<p>Mangroves are plant communities of high ecological and economic importance for coastal regions. This investigation provides a methodology for mapping Mangrove forests through remote sensing images in a semidetail scale (1:25,000) in a sector of the municipality of Buenaventura, Colombia. A Sentinel 2 image and 2017 highresolution ortophotomosaic of the municipality were used for the mangrove cartography, using QGIS software, spectral analysis was performed and supervised classification was established using Maximum Likelihood algorithm. Results shown that mangrove is the most represen

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Abudi, Miranti Khairunisa, Sri Nuryatin Hamzah, and Faizal Kasim. "Co-Management pengelolaan ekosistem mangrove di Desa Langge Kecamatan Anggrek Kabupaten Gorontalo Utara." Acta Aquatica: Aquatic Sciences Journal 9, no. 2 (2022): 76. http://dx.doi.org/10.29103/aa.v9i2.8124.

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Mangroves are one of the important ecosystems that are currently being damaged. This research aimed to 1) determine the existing condition of Langge Village's mangroves and their utilization, 2) analyze stakeholders, the influence and mapping of co-management, and 3) analyze the form of co-management, roles, and responsibilities of stakeholders towards mangrove management in Langge Village. This research was conducted in August-November 2021. Mangrove vegetation data was collected using the line transect method; while the stakeholder data collection is done by open interviews. The data obtaine

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Rahmadi, M. T., and E. Yuniastuti. "Mangrove Distribution Mapping for Sustainable Utilization and Management (Case Study Langsa City, Aceh)." IOP Conference Series: Earth and Environmental Science 1039, no. 1 (2022): 012055. http://dx.doi.org/10.1088/1755-1315/1039/1/012055.

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Abstract Mangroves are vegetation that has the most crucial role both for coastal ecosystems and human life. However, as the vegetation with the highest productivity globally, mangroves also experience distribution problems caused by anthropogenic activities. The problem of mangrove distribution occurs not only in the world but also in Langsa City, Aceh. Therefore, the distribution of mangroves must be regularly recorded for sustainable management and utilization. One of the uses of technology currently developing for monitoring the distribution of mangroves is remote sensing (mapping). This s

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Gunathilaka, M. D. K. L., and W. T. S. Harhana. "The Implementation of the Mangrove Quality Index: A Way to Overcome Overestimation and Classification Concerns in Detecting Mangrove Forest Cover." International Journal of Environment, Engineering and Education 5, no. 1 (2023): 1–8. http://dx.doi.org/10.55151/ijeedu.v5i1.85.

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The increasing applications of Geographic Information Systems (GIS) and Remote Sensing (RS) for mapping, predicting, and monitoring are practical for sustainable mangrove ecosystem management. This study evaluated various geospatial techniques for detecting healthy mangroves on the eastern coast of Sri Lanka, including single spectral indices, supervised/unsupervised classification, and developed methods using Landsat data. The use of medium-resolution satellite data and the uniqueness of the mangrove ecosystem are generally involved in discriminating healthy mangroves from non-mangrove areas.

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Hickey, Sharyn M., and Ben Radford. "Turning the Tide on Mapping Marginal Mangroves with Multi-Dimensional Space–Time Remote Sensing." Remote Sensing 14, no. 14 (2022): 3365. http://dx.doi.org/10.3390/rs14143365.

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Mangroves are a globally important ecosystem experiencing significant anthropogenic and climate impacts. Two subtypes of mangrove are particularly vulnerable to climate-induced impacts (1): tidally submerged forests and (2) those that occur in arid and semi-arid regions. These mangroves are either susceptible to sea level rise or occur in conditions close to their physiological limits of temperature and freshwater availability. The spatial extent and impacts on these mangroves are poorly documented, because they have structural and environmental characteristics that affect their ability to be

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Sarah Jane L. Cabral. "Classification and Mapping of Mangrove Forest Area in Eastern Leyte Using Percentile-Based Threshold Segmentation." Journal of Information Systems Engineering and Management 10, no. 45s (2025): 42–54. https://doi.org/10.52783/jisem.v10i45s.8707.

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Mangroves in Eastern Leyte play an important role in the environment by offering various ecological benefits like protecting shorelines, storing carbon and serving as homes for a variety of marine creatures. It is crucial to map and monitor mangrove forests to properly conserve and manage them. This research study specifically looks at how to identify and locate mangrove areas in Eastern Leyte Philippines using satellite images. A method based on the 75th percentile threshold segmentation index was used to detect and classify these mangrove areas. Field surveys provided ground truth data to co

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Osei Darko, Patrick, Margaret Kalacska, J. Pablo Arroyo-Mora, and Matthew E. Fagan. "Spectral Complexity of Hyperspectral Images: A New Approach for Mangrove Classification." Remote Sensing 13, no. 13 (2021): 2604. http://dx.doi.org/10.3390/rs13132604.

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Hyperspectral remote sensing across multiple spatio-temporal scales allows for mapping and monitoring mangrove habitats to support urgent conservation efforts. The use of hyperspectral imagery for assessing mangroves is less common than for terrestrial forest ecosystems. In this study, two well-known measures in statistical physics, Mean Information Gain (MIG) and Marginal Entropy (ME), have been adapted to high spatial resolution (2.5 m) full range (Visible-Shortwave-Infrared) airborne hyperspectral imagery. These two spectral complexity metrics describe the spatial heterogeneity and the aspa

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Soffianian, Ali Reza, Neda Bihamta Toosi, Ali Asgarian, Hervé Regnauld, Sima Fakheran, and Lars T. Waser. "Evaluating resampled and fused Sentinel-2 data and machine-learning algorithms for mangrove mapping in the northern coast of Qeshm island, Iran." Nature Conservation 52 (March 20, 2023): 1–22. http://dx.doi.org/10.3897/natureconservation.52.89639.

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Mangrove forests, as an essential component of the coastal zones in tropical and subtropical areas, provide a wide range of goods and ecosystem services that play a vital role in ecology. Mangroves are globally threatened, disappearing, and degraded. Consequently, knowledge on mangroves distribution and change is important for effective conservation and making protection policies. Developing remote sensing data and classification methods have proven to be suitable tools for mapping mangrove forests over a regional scale. Here, we scrutinized and compared the performance of pixel-based and obje

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Soffianian, Ali Reza, Neda Bihamta Toosi, Ali Asgarian, Hervé Regnauld, Sima Fakheran, and Lars T. Waser. "Evaluating resampled and fused Sentinel-2 data and machine-learning algorithms for mangrove mapping in the northern coast of Qeshm island, Iran." Nature Conservation 52 (March 20, 2023): 1–22. https://doi.org/10.3897/natureconservation.52.89639.

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Mangrove forests, as an essential component of the coastal zones in tropical and subtropical areas, provide a wide range of goods and ecosystem services that play a vital role in ecology. Mangroves are globally threatened, disappearing, and degraded. Consequently, knowledge on mangroves distribution and change is important for effective conservation and making protection policies. Developing remote sensing data and classification methods have proven to be suitable tools for mapping mangrove forests over a regional scale. Here, we scrutinized and compared the performance of pixel-based and obje

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Rosalina, Dwi, Katarina Hesty Rombe, Yasser Arafat, et al. "Assessing changes in the mangrove ecosystem land area of Tanakeke Island, Takalar Regency, using Landsat 8 imagery." Depik 13, no. 2 (2024): 322–27. http://dx.doi.org/10.13170/depik.13.2.33697.

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Rewataya Village is situated on Tanakeke Island, within the Takalar Regency. Despite its significance, previous studies have not addressed the mapping of changes in mangrove land area within this locale. The present research aimed to fill this gap by assessing alterations in mangrove land area from 2013 to 2023, alongside examining density and canopy cover conditions. The method employed for mapping changes in land area entailed utilizing the unsupervised method with maximum likelihood classification. Additionally, the assessment of mangrove conditions involved employing plot line transects to

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Abbas, Nasir, Nimra Khan, and Warda Habib. "Monitoring of Mangrove Cover of Western Indus Delta Karachi Pakistan." Vol 3 Issue 2 3, no. 2 (2021): 59–66. http://dx.doi.org/10.33411/ijist/2021030202.

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The coastline of Pakistan comprises of five significant sites comprising of mangroves including Indus Delta which contains extensive mangroves zones and termed as the largest arid mangrove found globally. This study evaluate the current extent of mangroves along the Western edge of Indus Delta and provide the most recent forest cover assessment of mangroves. Moreover, this study identifies the changes occurred in forest cover from the years 2000 to 2020. Landsat 5 Thematic Mapper (TM), 8 Operational Land Imager (OLI) and Landsat 7 ETM data were used for mangroves mapping through supervised cla

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Fakhruddin, Faisal, Maroeto, and Purnomo Edi Sasongko. "ANALISIS KEMAMPUAN LAHAN MANGROVE KOTA SURABAYA DENGAN SISTEM INFORMASI GEOGRAFIS." Jurnal Ilmu-Ilmu Pertanian Indonesia 26, no. 1 (2024): 40–47. http://dx.doi.org/10.31186/jipi.26.1.40-47.

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[Analysis of Mangrove Land Capabilities in Surabaya City Utilizing Geographic Information System]. Mangroves are experiencing rapid growth and require optimal management. Assessing the land potential is crucial for developing necessary policies to evaluate mangrove areas and determine their suitability for mangrove plantations. Findings from land evaluation offer valuable guidance for land use according to specific requirements. Assessing land capacity serves as a reference to determine suitability, with mapping based on mangrove vegetation in the Surabaya region. This research aims to identif

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Chen, Xingyu, Xiuyu Zhang, Changwei Zhuang, et al. "An Approach for Detecting Mangrove Areas and Mapping Species Using Multispectral Drone Imagery and Deep Learning." Sensors 25, no. 8 (2025): 2540. https://doi.org/10.3390/s25082540.

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Mangrove ecosystems are important in tropical and subtropical coastal zones, contributing to marine biodiversity and maintaining marine ecological balance. It is crucial to develop more efficient, intelligent, and accurate monitoring methods for mangroves to understand better and protect mangrove ecosystems. This study promotes a novel model, MangroveNet, for integrating multi-scale spectral and spatial information and detecting mangrove area. In addition, we also present an improved model, AttCloudNet+, to identify the distribution of mangrove species based on high-resolution multispectral dr

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Diniz, Cesar, Luiz Cortinhas, Gilberto Nerino, et al. "Brazilian Mangrove Status: Three Decades of Satellite Data Analysis." Remote Sensing 11, no. 7 (2019): 808. http://dx.doi.org/10.3390/rs11070808.

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Since the 1980s, mangrove cover mapping has become a common scientific task. However, the systematic and continuous identification of vegetation cover, whether on a global or regional scale, demands large storage and processing capacities. This manuscript presents a Google Earth Engine (GEE)-managed pipeline to compute the annual status of Brazilian mangroves from 1985 to 2018, along with a new spectral index, the Modular Mangrove Recognition Index (MMRI), which has been specifically designed to better discriminate mangrove forests from the surrounding vegetation. If compared separately, the p

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Jamaluddin, Ilham, Tipajin Thaipisutikul, Ying-Nong Chen, Chi-Hung Chuang, and Chih-Lin Hu. "MDPrePost-Net: A Spatial-Spectral-Temporal Fully Convolutional Network for Mapping of Mangrove Degradation Affected by Hurricane Irma 2017 Using Sentinel-2 Data." Remote Sensing 13, no. 24 (2021): 5042. http://dx.doi.org/10.3390/rs13245042.

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Mangroves are grown in intertidal zones along tropical and subtropical climate areas, which have many benefits for humans and ecosystems. The knowledge of mangrove conditions is essential to know the statuses of mangroves. Recently, satellite imagery has been widely used to generate mangrove and degradation mapping. Sentinel-2 is a volume of free satellite image data that has a temporal resolution of 5 days. When Hurricane Irma hit the southwest Florida coastal zone in 2017, it caused mangrove degradation. The relationship of satellite images between pre and post-hurricane events can provide a

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Monzon, A. K., S. R. Reyes, R. K. Veridiano, R. Tumaneng, and J. D. De Alban. "SYNERGY OF OPTICAL AND SAR DATA FOR MAPPING AND MONITORING MANGROVES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B6 (June 17, 2016): 259–66. http://dx.doi.org/10.5194/isprs-archives-xli-b6-259-2016.

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Quantitative information on mangrove cover extents is essential in producing relevant resource management plans and conservation strategies. In the Philippines, mangrove rehabilitation was made a priority in relation to disaster risk response and mitigation following the calamities in the coastal communities during typhoon Haiyan/Yolanda; hence, baseline information on the extent of remaining mangrove cover was essential for effective site interventions. Although mangrove cover maps for the country already exists, analysis of mangrove cover changes were limited to the application of fixed annu

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