Academic literature on the topic 'Mapping mangrove'

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Journal articles on the topic "Mapping mangrove"

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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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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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Dissertations / Theses on the topic "Mapping mangrove"

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Thomas, Nathan Marc. "Mapping and monitoring mangrove forest baselines across the globe." Thesis, Aberystwyth University, 2016. http://hdl.handle.net/2160/6342d4d0-1165-4261-8034-6daad1a53d9d.

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Mangrove forests are woody vegetation located amongst the coastal wetlands of the tropics that hold importance for local populations, carbon sequestration and biodiversity. Despite this, mangrove forests are in decline as a consequence of both direct and indirect anthropogenic activities, such as aquaculture practices, coastal development and climate change. Through the interpretation of time-series colour composite radar imagery, mangrove forests were observed to have been anthropogenically disturbed and to have experienced changes in extent caused by natural processes. This revealed that as
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Nfotabong, Atheull Adolphe. "Impact of anthropogenic activities on the vegetation structure of mangrove forests in Kribi, the Nyong river mouth and Cameroon estuary." Doctoral thesis, Universite Libre de Bruxelles, 2011. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209870.

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Mangroves are intertidal ecosystems found along the tropical and subtropical coastlines.<p>Though globally recognised as ecosystems of ecological, biological and economical<p>remarkable importance, these ecotone formations are characterised by a continuously<p>increasing anthropization. However, very little studies have been focused on the impact of<p>various anthropogenic activities on the mangrove vegetation structure.<p>We have firstly (a) assessed the commercial and subsistence utilization of mangrove<p>wood products in the Littoral region (Cameroon estuary). Then, we have confronted the<p
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Weisgerber, Elizabeth Kay. "Classifying and mapping diversity in a species-poor system: the mangrove meta-community of Laguna Chacahua National Park, Oaxaca, Mexico." DigitalCommons@CalPoly, 2011. https://digitalcommons.calpoly.edu/theses/622.

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ABSTRACT Classifying and Mapping Diversity in a Species-Poor System: the mangrove meta-community of Laguna Chacahua National Park, Oaxaca, Mexico by Elizabeth Kay Weisgerber Both field transects and imagery grid plots were analyzed with the goal of creating a community classification map for the mangrove forest of Parque Nacional Lagunas de Chacahua. In total, data was collected in 49 sites throughout the park, recording measures such as DBH, basal area, estimated dominance, frequency, cover and relative dominance. Field locations were marked and georeferenced with a GPS and grid plots overla
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Greenwood, Wm Jason. "Mapping porewater salinity with electromagnetic and electrical methods in shallow coastal environments, Terra Ceia, Florida." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000352.

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Lardosa, Eduardo Ildefonso. "Mapeamento dos remanescentes de manguezal, a partir da interpretação de ortofotos coloridas, e análise dos vetores de pressão antrópica, como subsídio ao planejamento para conservação do ecossistema no Estado do Rio de Janeiro." Universidade do Estado do Rio de Janeiro, 2011. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=3385.

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Manguezal é um ecossistema costeiro que ocorre nas regiões tropicais e subtropicais do planeta, ocupando a zona entremarés dos oceanos, e sendo caracterizado pela presença de vegetação arbórea adaptada à condições adversas de salinidade, substrato, baixa oxigenação e submersão periódica. A pressão sobre os manguezais do Estado do Rio de Janeiro vem se intensificando nas últimas décadas, e estão associadas a vetores de pressão como os aterros, desmatamentos, queimadas, corte seletivo de madeira, captura predatória de moluscos e crustáceos, lançamento de efluentes de origens diversas, a superexp
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Md, Mizanur Rahman. "Exploring vegetation type, diversity, and carbon stocks in Sundarbans Reserved Forest using high resolution image and inventory data." Kyoto University, 2019. http://hdl.handle.net/2433/242678.

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"Mangrove species mapping and leaf area index modeling using optical and microwave remote sensing technologies in Hong Kong." 2012. http://library.cuhk.edu.hk/record=b5549540.

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生長於潮間帶的紅樹林是熱帶和亞熱帶地區最具生產力的生態系統之一。香港擁有十個紅樹品種,其覆蓋面積約共三百五十公頃。位於香港西北面的米埔是現時香港最大的紅樹林區。這片紅樹林及其鄰近濕地於一九九五年被列為拉姆薩爾重要的濕地。隨著經濟的迅速發展、污染及一些不可持續的開發,全球紅樹林的面積不斷地萎縮。而香港的紅樹也正面對城市發展及基建的直接威脅。因此,了解及監測紅樹林的生長狀況、覆蓋面積的轉變是紅樹林保育的基礎。遙感是具有成本效益和能提供及時數據的技術,在紅樹林的生態保育及監測上發揮著重要功能。<br>是次研究選擇位於米埔的紅樹林區。通過結合高光譜和雷達數據以及實地磡測,以達到三個目的。第一,利用模式辨認分析找出可提高品種辨識度的光譜帶及雷達數據。第二,把挑選出來的光譜帶及雷達數據組合,利用不同的分類法包括最大概似法、决策樹 C5.0演算法、類神經網路及支持向量機進行紅樹林的品種分類,並籍此測試各分類法的精度。第三,利用植被指數及雷達數據中取得的參數為獨立變量,而在野外點測的葉面積指數 (LAI) 為因變量,通過迴歸分析以估算整片紅樹林的葉面積指數,籍此了解紅樹林現時的生物物理狀況。<br>根據特徵選擇的結果,位於高光譜數據中的綠波段 (570nm, 580nm, 591nm及601nm)、紅波段 (702nm)、紅邊位 (713nm)、近紅外波段 (764nm及774nm)、 短波紅外波
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Roy, Sukanta. "Automated methods of natural resource mapping with Remote Sensing Big data in Hadoop MapReduce framework." Thesis, 2022. https://etd.iisc.ac.in/handle/2005/5836.

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For several decades, remote sensing (RS) tools have provided platforms for the large-scale exploration of natural resources across the planetary bodies of our solar system. In the context of Indian remote sensing, mineral resources are being explored, and mangrove resources are being monitored towards a sustainable socio-economic structure and coastal eco-system, respectively, by utilising several remote analytical techniques. However, RS technologies and the corresponding data analytics have made a vast paradigm shift, which eventually has produced “RS Big data” in our scientific world of lar
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Books on the topic "Mapping mangrove"

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Dasgupta, Rajarshi, Shizuka Hashimoto, and Osamu Saito, eds. Assessing, Mapping and Modelling of Mangrove Ecosystem Services in the Asia-Pacific Region. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2738-6.

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Patterson, Samuel Goodman. Mangrove community boundary interpretation and detection of areal changes on Marco Island, Florida: Application of digital image processing and remote sensing techniques. Fish and Wildlife Service, U.S. Dept. of the Interior, 1986.

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Saito, Osamu, Rajarshi Dasgupta, and Shizuka Hashimoto. Assessing, Mapping and Modelling of Mangrove Ecosystem Services in the Asia-Pacific Region. Springer, 2022.

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Assessing, Mapping and Modelling of Mangrove Ecosystem Services in the Asia-Pacific Region. Springer, 2023.

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Book chapters on the topic "Mapping mangrove"

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Gupta, Kaushik, Niloy Pramanick, and Anirban Mukhopadhyay. "Remote Sensing as a Tool for Mangrove Ecosystem Mapping and Monitoring: On Sundarbans' Perspective." In Sundarbans Mangrove Systems. CRC Press, 2021. http://dx.doi.org/10.1201/9781003083573-4.

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Ghosh, Manoj Kumer, and Lalit Kumar. "Does Mid-Resolution Landsat Data Provide Sufficient Accuracy for Image Classification and Mapping at Species Level? A Case of the Bangladesh Sundarbans, Bay of Bengal." In Sundarbans Mangrove Systems. CRC Press, 2021. http://dx.doi.org/10.1201/9781003083573-2.

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Dasgupta, Rajarshi, Shizuka Hashimoto, and Osamu Saito. "Envisioning the Future of Mangroves Through Mapping and Modeling of Mangrove Ecosystem Services." In Science for Sustainable Societies. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2738-6_1.

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Pasqualini, Vanina, Jacques Iltis, Nadine Dessay, Marc Lointier, Olivier Guelorget, and Laurent Polidori. "Mangrove mapping in North-Western Madagascar using SPOT-XS and SIR-C radar data." In Diversity and Function in Mangrove Ecosystems. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4078-2_13.

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Aschbacher, Josef, Rey Ofren, Jean Pierre Delsol, Tri Binarko Suselo, Suvit Vibulsresth, and Thongchai Charrupat. "An integrated comparative approach to mangrove vegetation mapping using advanced remote sensing and GIS technologies: preliminary results." In Asia-Pacific Symposium on Mangrove Ecosystems. Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0289-6_32.

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Tam, Nora F. Y., Yuk-Shan Wong, C. Y. Lu, and R. Berry. "Mapping and characterization of mangrove plant communities in Hong Kong." In Asia-Pacific Conference on Science and Management of Coastal Environment. Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5234-1_4.

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Hidayatullah, Muhamad Faqih, Muhammad Kamal, and Pramaditya Wicaksono. "Geographic Object-Based Image Analysis for Mangrove Species Distribution Mapping." In Recent Research on Hydrogeology, Geoecology and Atmospheric Sciences. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43169-2_43.

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Majumdar, Sushobhan, Uday Chatterjee, Bappaditya Koley, Gouri Sankar Bhunia, and Pravat Kumar Shit. "Object-Based Mapping and Modelling of Sundarban Mangrove Forests in India." In Anthropogeomorphology. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-77572-8_21.

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Phonphan, Walaiporn, and Manatsanan Thanakunwutthirot. "Mapping of Mangrove Change with Remote Sensing in Samut Songkhram Province, Thailand." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44267-5_29.

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Li, Hongzhong, Yu Han, Jinsong Chen, and Shanxin Guo. "Mapping the Distribution of Exotic Mangrove Species in Shenzhen Bay Using Worldview-2 Imagery." In Geo-informatics in Sustainable Ecosystem and Society. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7025-0_3.

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Conference papers on the topic "Mapping mangrove"

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Aparicio, Alme M., and Ariel Christian C. Viodor. "AI-Based Advancements for Comprehensive Mangrove Analysis Suitability Mapping." In 2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream). IEEE, 2025. https://doi.org/10.1109/estream66938.2025.11016872.

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Ambarsari, Nia, Erfan Rohadi, Faqih Hamami, Cahya Rahmad, Sinung Suakanto, and Muhammad Auvi Amril. "Enhancing Mangrove Mapping in Malang Regency Through K-means Clustering." In 2024 International Conference on Information Technology Systems and Innovation (ICITSI). IEEE, 2024. https://doi.org/10.1109/icitsi65188.2024.10929315.

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Blanchard, Elodie, Thibault Catry, Vincent Delbar, et al. "MangMap: A New Platform for Mangrove Mapping and Monitoring Using Earth Observation Data." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641171.

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Mu, Xinglin, Tao Zhang, Weiguo Jiang, Shucheng You, Xueying Liang, and Hang Xu. "Research on mangrove monitoring in Pearl Bay of Beilun River based on long times remote sensing images (1978–2024)." In Sixth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2024), edited by Zhiliang Qin, Jun Chen, and Huaichun Wu. SPIE, 2025. https://doi.org/10.1117/12.3057569.

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Jamaluddin, Ilham. "Artificial Intelligence for Mangrove Mapping and Monitoring Using Remote Sensing Imagery and Extreme Gradient Boosting (XGBoost) Algorithm with Python." In 2024 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS). IEEE, 2024. https://doi.org/10.1109/agers65212.2024.10932972.

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Sugara, Ayub, C. C. Hanami, AH Lukman, et al. "Evaluating the Efficacy of Sentinel-2B and Landsat 8 OLI Satellite Imagery for Accurate Mangrove Mapping in Bengkulu City, Indonesia." In 2024 2nd International Conference on Technology Innovation and Its Applications (ICTIIA). IEEE, 2024. https://doi.org/10.1109/ictiia61827.2024.10761864.

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Jamaluddin, Ilham, Ying-Nong Chen, Amalia Gita Ayudyanti, and Kuo-Chin Fan. "Exploring red-edge spectral indices for mangrove canopy height mapping using random forest regression with Sentinel-2 and spaceborne GEDI LiDAR data." In Land Surface and Cryosphere Remote Sensing V, edited by Cheinway Hwang and Jing M. Chen. SPIE, 2025. https://doi.org/10.1117/12.3041649.

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Iovan, Corina, Michel Kulbicki, and Eric Mermet. "Deep Convolutional Neural Network for Mangrove Mapping." In IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2020. http://dx.doi.org/10.1109/igarss39084.2020.9323802.

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Beh, B. C., M. Z. MatJafri, and H. S. Lim. "Mangrove species mapping in Kuala Sepetang Mangrove Forest, Perak using high resolution airborne data." In SPIE Remote Sensing, edited by Christopher M. U. Neale and Antonino Maltese. SPIE, 2015. http://dx.doi.org/10.1117/12.2195435.

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Chen, Ping, Soo Chin Liew, and Leong Keong Kwoh. "Mangrove mapping and change detection using satellite imagery." In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. http://dx.doi.org/10.1109/igarss.2017.8128306.

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Reports on the topic "Mapping mangrove"

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Ruiz, Pablo, Craig Perry, Alejando Garcia, et al. The Everglades National Park and Big Cypress National Preserve vegetation mapping project: Interim report—Northwest Coastal Everglades (Region 4), Everglades National Park (revised with costs). National Park Service, 2020. http://dx.doi.org/10.36967/nrr-2279586.

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The Everglades National Park and Big Cypress National Preserve vegetation mapping project is part of the Comprehensive Everglades Restoration Plan (CERP). It is a cooperative effort between the South Florida Water Management District (SFWMD), the United States Army Corps of Engineers (USACE), and the National Park Service’s (NPS) Vegetation Mapping Inventory Program (VMI). The goal of this project is to produce a spatially and thematically accurate vegetation map of Everglades National Park and Big Cypress National Preserve prior to the completion of restoration efforts associated with CERP. T
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Trotz, Maya, Alex Webb, Amanda Brinton, et al. Nature-Based Solutions Workshop Report: Placencia, Belize (report no. 3). Strong Coasts, 2023. http://dx.doi.org/10.5038/leey7236.

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On August 30th, 2023, over 90 members of the Placencia Peninsula community gathered for a collaborative workshop to address escalating threats to Belize’s coastline. Hosted by Fragments of Hope Ltd. and WWF Mesoamerica, the event introduced an international initiative, Strong Coasts, which studies Nature-Based Solutions to flooding and erosion risks. Through interactive presentations, discussions, and hands-on exercises, attendees shared diverse perspectives on protecting vital yet vulnerable ecosystems like mangroves and coral reefs. Five key areas of concern emerged from participants: govern
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