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Journal articles on the topic 'Coastline extraction'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Zhou, Xixuan, Jinyu Wang, Fengjie Zheng, Haoyu Wang, and Haitao Yang. "An Overview of Coastline Extraction from Remote Sensing Data." Remote Sensing 15, no. 19 (2023): 4865. http://dx.doi.org/10.3390/rs15194865.

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The coastal zone represents a unique interface between land and sea, and addressing the ecological crisis it faces is of global significance. One of the most fundamental and effective measures is to extract the coastline’s location on a large scale, dynamically, and accurately. Remote sensing technology has been widely employed in coastline extraction due to its temporal, spatial, and sensor diversity advantages. Substantial progress has been made in coastline extraction with diversifying data types and information extraction methods. This paper focuses on discussing the research progress rela

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Tahir, Hamzah, and Ami Hassan Md Din. "The Potential of Landsat 8 OLI Images in Coastline Identification: The Case Study of Basra, Iraq." Engineering, Technology & Applied Science Research 14, no. 1 (2024): 13041–46. http://dx.doi.org/10.48084/etasr.6580.

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Coastline extraction plays important functions in coastal resource management, natural resource preservation, and sustainable coastal development. Long-term records of Landsat data series are available for free downloading, being highly potential for coastline extraction. Furthermore, remote sensing imagery systems along with the application of digital image processing techniques can be utilized in coastline extraction. However, it is challenging to accurately extract coastlines with coarse spatial resolution due to the dynamic properties of various types of coastlines produced by sea-level ch

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Domazetović, Fran, Ante Šiljeg, Ivan Marić, Josip Faričić, Emmanuel Vassilakis, and Lovre Panđa. "Automated Coastline Extraction Using the Very High Resolution WorldView (WV) Satellite Imagery and Developed Coastline Extraction Tool (CET)." Applied Sciences 11, no. 20 (2021): 9482. http://dx.doi.org/10.3390/app11209482.

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The accurate extraction of a coastline is necessary for various studies of coastal processes, as well as for the management and protection of coastal areas. Very high-resolution satellite imagery has great potential for coastline extraction; however, noises in spectral data can cause significant errors. Here, we present a newly developed Coastal Extraction Tool (CET) that overcomes such errors and allows accurate and time-efficient automated coastline extraction based on a combination of WorldView-2 (WV-2) multispectral imagery and stereo-pair-derived digital surface model (DSM). Coastline ext

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Woo, H. S., K. S. Kwon, and B. G. Kim. "STUDY ON VERTEX INTERVAL DETERMINATION FOR CONSISTENT CALCULATION OF COASTLINE LENGTH." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 12, 2017): 169–73. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-169-2017.

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Coastline extraction and decision have important implications for efficient land management and national policy formulation. However, coastlines extracted without certain criteria are difficult to obtain consistent results for the same region, and therefore, have a lot of restrictions on land management and application. For example, in some South Korea coastlines surveyed in this study, it was confirmed that there is a large difference in coastline lengths calculated for the same area depending on how the vertex interval is set. In this study, we propose and discuss the guidelines to enable co

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Tang, Wei, Chengyi Zhao, Jing Lin, et al. "Improved Spectral Water Index Combined with Otsu Algorithm to Extract Muddy Coastline Data." Water 14, no. 6 (2022): 855. http://dx.doi.org/10.3390/w14060855.

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Based on the spectral reflection characteristics analysis of the muddy coastline in Jiangsu, an improved spectral water index (IWI) combined with the Otsu algorithm is proposed to extract muddy coastlines from Landsat Operational Land Imager (OLI) images. The IWI-extracted coastline results are compared with those extracted by the modified normalized difference water index (MNDWI), normalized difference water index (NDWI), enhanced water index (EWI), revised normalized different water index (RNDWI) and automated water extraction index (AWEI). The results show that the IWI is not affected by ti

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Ding, Yaxin, Xiaomei Yang, Hailiang Jin, et al. "Monitoring Coastline Changes of the Malay Islands Based on Google Earth Engine and Dense Time-Series Remote Sensing Images." Remote Sensing 13, no. 19 (2021): 3842. http://dx.doi.org/10.3390/rs13193842.

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The use of remote sensing to monitor coastlines with wide distributions and dynamic changes is significant for coastal environmental monitoring and resource management. However, most current remote sensing information extraction of coastlines is based on the instantaneous waterline, which is obtained by single-period imagery. The lack of a unified standard is not conducive to the dynamic change monitoring of a changeable coastline. The tidal range observation correction method can be used to correct coastline observation to a unified climax line, but it is difficult to apply on a large scale b

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Yang, Zhihai, Guangjun Wang, Lei Feng, Yuxian Wang, Guowei Wang, and Sihai Liang. "A Transformer Model for Coastline Prediction in Weitou Bay, China." Remote Sensing 15, no. 19 (2023): 4771. http://dx.doi.org/10.3390/rs15194771.

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The simulation and prediction of coastline changes are of great significance for the development and scientific management of coastal zones. Coastline changes are difficult to capture completely but appear significantly periodic over a long time series. In this paper, the transformer model is used to learn the changing trend of the coastline so as to deduce the position of the coastline in the coming year. First, we use the distance regularization level set evolution (DRLSE) model for instantaneous waterline extraction (IWE) from preprocessed Landsat time-series images from 2010–2020 in Weitou

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Adnan, Nor Aizam, Najiehah Norazman, Khairul Nizam Maulud, Ernieza Suhana Mokhtar, and Zaharah Mohd Yusoff. "Coastlines estimation and erosion rate assessment in Tuba Island, Langkawi using remotely-sensed digital imageries analysis." IOP Conference Series: Earth and Environmental Science 1240, no. 1 (2023): 012018. http://dx.doi.org/10.1088/1755-1315/1240/1/012018.

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Abstract Malaysia’s coastline is constantly exposed to ocean threats, resulting in coastal erosion and sea-level rise. Pulau Tuba’s is a part of Pulau Langkawi which known as a popular tourist destination in Malaysia. This study focuses on using remote sensing and Geographical Information System (GIS) tools to examine changes along the coastline of Pulau Tuba, Langkawi, during a six-year period. In this research, changes to the coastline were analyzed using Sentinel-2 imagery from 2016 to 2021, as a result of the comparison of coastline extraction methods. Coastline extraction methods used in

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9

Wang, Wenliang. "Automatic extraction of coastline based on Google Earth engine." International Journal of Computer Science and Information Technology 1, no. 1 (2023): 102–11. http://dx.doi.org/10.62051/ijcsit.v1n1.14.

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Traditional remote sensing image-based coastline extraction is limited by data volume and processing speed, and the extracted coastline is susceptible to noise. Therefore, this paper proposes a method based on the Google Earth Engine geospatial platform, which combines threshold segmentation, the Otsu method, and morphological algorithms. First, remote sensing images are preprocessed on the platform, and the Normalized Difference Water Index (NDWI) is calculated. Then, the Otsu method is used to calculate the NDWI threshold for water-land segmentation, resulting in a binary water-land image. N

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Zheng, Hongxia, Xiao Li, Jianhua Wan, Mingming Xu, Shanwei Liu, and Muhammad Yasir. "Automatic Coastline Extraction Based on the Improved Instantaneous Waterline Extraction Method and Correction Criteria Using SAR Imagery." Sustainability 15, no. 9 (2023): 7199. http://dx.doi.org/10.3390/su15097199.

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Coastlines with different morphologies form boundaries between the land and ocean, and play a vital role in tourism, integrated coastal zone management, and marine engineering. Therefore, determining how to extract the coastline from satellite images quickly, accurately, and intelligently without manual intervention has become a hot topic. However, the instantaneous waterline extracted directly from the image must be corrected to the coastline using the tide survey station data. This process is challenging due to the scarcity of tide stations. Therefore, an improved instantaneous waterline ext

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Demir, N., M. Kaynarca, and S. Oy. "EXTRACTION OF COASTLINES WITH FUZZY APPROACH USING SENTINEL-1 SAR IMAGE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 21, 2016): 747–51. http://dx.doi.org/10.5194/isprs-archives-xli-b7-747-2016.

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Coastlines are important features for water resources, sea products, energy resources etc. Coastlines are changed dynamically, thus automated methods are necessary for analysing and detecting the changes along the coastlines. In this study, Sentinel-1 C band SAR image has been used to extract the coastline with fuzzy logic approach. The used SAR image has VH polarisation and 10x10m. spatial resolution, covers 57 sqkm area from the south-east of Puerto-Rico. Additionally, radiometric calibration is applied to reduce atmospheric and orbit error, and speckle filter is used to reduce the noise. Th

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Demir, N., M. Kaynarca, and S. Oy. "EXTRACTION OF COASTLINES WITH FUZZY APPROACH USING SENTINEL-1 SAR IMAGE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 21, 2016): 747–51. http://dx.doi.org/10.5194/isprsarchives-xli-b7-747-2016.

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Coastlines are important features for water resources, sea products, energy resources etc. Coastlines are changed dynamically, thus automated methods are necessary for analysing and detecting the changes along the coastlines. In this study, Sentinel-1 C band SAR image has been used to extract the coastline with fuzzy logic approach. The used SAR image has VH polarisation and 10x10m. spatial resolution, covers 57 sqkm area from the south-east of Puerto-Rico. Additionally, radiometric calibration is applied to reduce atmospheric and orbit error, and speckle filter is used to reduce the noise. Th

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Hastuti, Amandangi Wahyuning, Neira Purwanty Ismail, and Masahiko Nagai. "Analysis of coastline extraction indices using Sentinel-2 and Google Earth Engine, case study in Bali, Indonesia." BIO Web of Conferences 106 (2024): 04004. http://dx.doi.org/10.1051/bioconf/202410604004.

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Coastal zone is the most dynamic environment and requires regular monitoring to maintain sustainable coastal resource management. Employing remote sensing technology to monitor changes involves an essential process referred to as coastline extraction. This study aims to conduct a comparative analysis of five commonly employed techniques for coastline extraction: Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Modified Normalized Difference Water Index (MNDWI), Water Ratio Index (WRI), and Automated Water Extraction Index (AWEI). These methods are evalua

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Qiu, Shi, Huping Ye, and Xiaohan Liao. "Coastline Recognition Algorithm Based on Multi-Feature Network Fusion of Multi-Spectral Remote Sensing Images." Remote Sensing 14, no. 23 (2022): 5931. http://dx.doi.org/10.3390/rs14235931.

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Remote sensing images can obtain broad geomorphic features and provide a strong basis for analysis and decision making. As 71% of the earth is covered by water, shipping has become an efficient means of international trade and transportation, and the development level of coastal cities will directly reflect the development level of a country. The coastline is the boundary line between seawater and land, so it is of great significance to accurately identify it to assist shipping traffic and docking, and this identification will also play a certain auxiliary role in environmental analysis. Curre

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Apriyani, Felisa, Suseno Wangsit Wijaya, and Esty Kurniawati. "Compared Of Coastline Extraction On Sentinel-2A Imagery and Aerial Photos : Case Study in Panggang Island, Kepulauan Seribu, Indonesia." BIO Web of Conferences 70 (2023): 02005. http://dx.doi.org/10.1051/bioconf/20237002005.

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Panggang Island is one of the inhabited islands in the Kepulauan Seribu and has a high population density. This high population density has led to widespread infrastructure development on the coast, both seaside settlements and piers as facilities and infrastructure for population mobility, thus affecting the position of the coastline. Coastlines can be determined by remote sensing using several sensors such as aerial photography and satellite imagery as technology used to capture phenomena on the earth's surface. This research aims to see differences in coastlines using two sensors with diffe

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Yasir, Muhammad, Sheng Hui, Huang Binghu, and Sami Ur Rahman. "Coastline extraction and land use change analysis using remote sensing (RS) and geographic information system (GIS) technology – A review of the literature." Reviews on Environmental Health 35, no. 4 (2020): 453–60. http://dx.doi.org/10.1515/reveh-2019-0103.

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AbstractCoastlines mapping techniques or the coastline automated analyses have been sought after. In practice, various sorts of seacoasts, for example, biological, silty, arenaceous, artificial, and bedrock coasts, have their own attributes, which force various degrees of intricacy on coastline mapping. As an extraordinary kind of complex artificial coast, aquaculture coast is shaped by the farming of aquatic organisms on silt tidal flats. With the rapid growth of coastal aquaculture in recent years, aquaculture coasts have increased in some developing countries. It has been estimated that aqu

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Fan, Xianchuang, Chao Zhou, Tiejun Cui, Tong Wu, Qian Zhao, and Mingming Jia. "Linkage Analysis Between Coastline Change and Both Sides of Coastal Ecological Spaces." Water 17, no. 10 (2025): 1505. https://doi.org/10.3390/w17101505.

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As the first marine economic zone, the coastal zone is a complex and active ecosystem, serving as an important resource breeding area. However, during the process of economic development, coastal zone resources have been severely exploited, leading to fragile ecology and frequent natural disasters. Therefore, it is imperative to analyze coastline changes and their correlation with coastal ecological space. Utilizing long-time series high-resolution remote sensing images, Google Earth images, and key sea area unmanned aerial vehicle (UAV) remote sensing monitoring data, this study selected the

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Payo, Andres, Bismarck Jigena Antelo, Martin Hurst, et al. "Development of an automatic delineation of cliff top and toe on very irregular planform coastlines (CliffMetrics v1.0)." Geoscientific Model Development 11, no. 10 (2018): 4317–37. http://dx.doi.org/10.5194/gmd-11-4317-2018.

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Abstract. We describe a new algorithm that automatically delineates the cliff top and toe of a cliffed coastline from a digital elevation model (DEM). The algorithm builds upon existing methods but is specifically designed to resolve very irregular planform coastlines with many bays and capes, such as parts of the coastline of Great Britain. The algorithm automatically and sequentially delineates and smooths shoreline vectors, generates orthogonal transects and elevation profiles with a minimum spacing equal to the DEM resolution, and extracts the position and elevation of the cliff top and to

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Qi, Mengzhen, Yan Liu, Yijing Lin, Fengming Hui, Teng Li, and Xiao Cheng. "Efficient Location and Extraction of the Iceberg Calved Areas of the Antarctic Ice Shelves." Remote Sensing 12, no. 16 (2020): 2658. http://dx.doi.org/10.3390/rs12162658.

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Continuous, rapid, and precise monitoring of calving events contributes to an in-depth understanding of calving mechanisms, which have the potential to cause significant mass loss from the Antarctic ice sheet. The difficulties in the precise monitoring of iceberg calving lie with the coexistence of ice shelf advances and calving. The manual location of iceberg calving is time-consuming and painstaking, while achieving precise extraction has mostly relied on the surface textural characteristics of the ice shelves and the quality of the images. Here, we propose a new and efficient method of sepa

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Isiacik Colak, T., G. Senel, and C. Goksel. "COASTLINE ZONE EXTRACTION USING LANDSAT-8 OLI IMAGERY, CASE STUDY: BODRUM PENINSULA, TURKEY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W12 (February 21, 2019): 101–4. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w12-101-2019.

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<p><strong>Abstract.</strong> Coastline extraction is a fundamental work for coastal resource management and coastal environmental protection. Today, by using digital image processing techniques, coastline extraction can be done with remote sensing imagery systems. In this study, Landsat 8 Operational Land Imagery (OLI) data have been the main data source due to free access and sufficient spatial resolution for coast line extraction. This research is focused on determining the coastline length and measuring land area by using Landsat 8 OLI satellite image for Bodrum Peninsula

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Yu, Yining, Zhilun Zhang, Mohammed Shokr, et al. "Automatically Extracted Antarctic Coastline Using Remotely-Sensed Data: An Update." Remote Sensing 11, no. 16 (2019): 1844. http://dx.doi.org/10.3390/rs11161844.

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The temporal and spatial variability of the Antarctic coastline is a clear indicator of change in extent and mass balance of ice sheets and shelves. In this study, the Canny edge detector was utilized to automatically extract high-resolution information of the Antarctic coastline for 2005, 2010, and 2017, based on optical and microwave satellite data. In order to improve the accuracy of the extracted coastlines, we developed the Canny algorithm by automatically calculating the local low and high thresholds via the intensity histogram of each image to derive thresholds to distinguish ice sheet

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Hu, J., L. Lu, J. Xu, and J. Zhang. "A FAST SEGMENTATION ALGORITHM FOR C-V MODEL BASED ON EXPONENTIAL IMAGE SEQUENCE GENERATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 13, 2017): 761–64. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-761-2017.

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For the island coastline segmentation, a fast segmentation algorithm for C-V model method based on exponential image sequence generation is proposed in this paper. The exponential multi-scale C-V model with level set inheritance and boundary inheritance is developed. The main research contributions are as follows: 1) the problems of the "holes" and "gaps" are solved when extraction coastline through the small scale shrinkage, low-pass filtering and area sorting of region. 2) the initial value of SDF (Signal Distance Function) and the level set are given by Otsu segmentation based on the differ

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Yu, Tan, Shuwen Xu, Xinyu Zhou, Jiajun Xiao, and Bingxu Zhang. "Semi-Automatic Extraction of The Threshold Segmentation of Coastline Based on Coastline Type." IOP Conference Series: Earth and Environmental Science 690, no. 1 (2021): 012019. http://dx.doi.org/10.1088/1755-1315/690/1/012019.

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Artama, Kadek Dwi, I. Wayan Gede Astawa Karang, and I. Nyoman Giri Putra. "Deteksi Perubahan Garis Pantai Menggunakan Citra Synthetic Aperture Radar (SAR) di Pesisir Tenggara Bali (Kabupaten Gianyar dan Klungkung)." Journal of Marine and Aquatic Sciences 5, no. 2 (2019): 278. http://dx.doi.org/10.24843/jmas.2019.v05.i02.p16.

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Coastline change is a phenomenon caused by sediment decrease or increase in the coastal area that occurs continuously. This phenomenon is caused by abrasion, erosion, and accretion. Bali is one of the provinces that have coastal with quite noticeable conditions, which is the southeast coast of Bali, the coast of Gianyar and Klungkung Regencies. Identification of coastline changes is important to determine policies that can be taken to maintain coastal balance. Remote sensing is one way to identify coastline change. In this study, the image used is SAR images of ALOS PALSAR and Sentinel-1 satel

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Paravolidakis, V., K. Moirogiorgou, L. Ragia, M. Zervakis, and C. Synolakis. "COASTLINE EXTRACTION FROM AERIAL IMAGES BASED ON EDGE DETECTION." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-8 (June 7, 2016): 153–58. http://dx.doi.org/10.5194/isprsannals-iii-8-153-2016.

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Nowadays coastline extraction and tracking of its changes become of high importance because of the climate change, global warming and rapid growth of human population. Coastal areas play a significant role for the economy of the entire region. In this paper we propose a new methodology for automatic extraction of the coastline using aerial images. A combination of a four step algorithm is used to extract the coastline in a robust and generalizable way. First, noise distortion is reduced in order to ameliorate the input data for the next processing steps. Then, the image is segmented into two r

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Paravolidakis, V., K. Moirogiorgou, L. Ragia, M. Zervakis, and C. Synolakis. "COASTLINE EXTRACTION FROM AERIAL IMAGES BASED ON EDGE DETECTION." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-8 (June 7, 2016): 153–58. http://dx.doi.org/10.5194/isprs-annals-iii-8-153-2016.

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Nowadays coastline extraction and tracking of its changes become of high importance because of the climate change, global warming and rapid growth of human population. Coastal areas play a significant role for the economy of the entire region. In this paper we propose a new methodology for automatic extraction of the coastline using aerial images. A combination of a four step algorithm is used to extract the coastline in a robust and generalizable way. First, noise distortion is reduced in order to ameliorate the input data for the next processing steps. Then, the image is segmented into two r

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Kang, Buyun, Jian Wu, Jinyong Xu, and Changshang Wu. "DAENet: Deformable Attention Edge Network for Automatic Coastline Extraction from Satellite Imagery." Remote Sensing 16, no. 12 (2024): 2076. http://dx.doi.org/10.3390/rs16122076.

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Sea–land segmentation (SLS) is a crucial step in coastline extraction. In CNN-based approaches for coastline feature extraction, downsampling is commonly used to reduce computational demands. However, this method may unintentionally discard small-scale features, hindering the capture of essential global contextual information and clear edge information necessary for SLS. To solve this problem, we propose a novel U-Net structure called Deformable Attention Edge Network (DAENet), which integrates edge enhancement algorithms and a deformable self-attention mechanism. First of all, we designed a m

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Trinh, Le Hung, Thi Giang Le, Xuan Bien Tran, Quoc Vinh Tran, Van Phu Le, and Thi Phuong To. "Monitoring of coastline change using Sentinel-2 MSI data. A case study in Thanh Hoa Province, Vietnam." Bulletin of Geography. Physical Geography Series, no. 26 (June 25, 2024): 77–87. http://dx.doi.org/10.12775/bgeo-2024-0006.

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Vietnam is a coastal country with a coastline of more than 3,260 km, stretching from north to south. Coastal change in Vietnam is complicated further by the effects of climate change, including erosion and accretion, causing great impacts on infrastructure and the environment. This article presents the results of assessing coastline changes in Thanh Hoa Province (North Central region of Vietnam) from Sentinel-2 MSI satellite image data for the period 2015–23. Three Sentinel-2 MSI images taken in December 2015, December 2020 and December 2023 were used to calculate the water indices, including

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Hurtik, Petr, and Marek Vajgl. "Coastline extraction from ALOS-2 satellite SAR images." Remote Sensing Letters 12, no. 9 (2021): 879–89. http://dx.doi.org/10.1080/2150704x.2021.1944691.

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Dai, Chunli, Ian M. Howat, Eric Larour, and Erik Husby. "Coastline extraction from repeat high resolution satellite imagery." Remote Sensing of Environment 229 (August 2019): 260–70. http://dx.doi.org/10.1016/j.rse.2019.04.010.

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Hu, Ruirui, Lijun Yao, Jing Yu, Pimao Chen, and Dongliang Wang. "Remote Sensing of the Coastline Variation of the Guangdong–Hongkong–Macao Greater Bay Area in the Past Four Decades." Journal of Marine Science and Engineering 9, no. 12 (2021): 1318. http://dx.doi.org/10.3390/jmse9121318.

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In this study, a combination of example-based feature extraction and visual interpretation was applied to analyze the coastline variations in the Guangdong–Hong Kong–Macao Greater Bay Area (GHMGBA) from the past four decades based on the Landsat satellite remote sensing image data from 1987–2018, using ENVI and ArcGIS software. The results showed that the total length of the coastline of the GHMGBA increased in the past four decades, rising from 1291 km in 1987 to 1411 km in 2018. Among these, artificial coastline increased by 450 km, while the other coastline types decreased. The type of coas

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Dellepiane, S., R. De Laurentiis, and F. Giordano. "Coastline extraction from SAR images and a method for the evaluation of the coastline precision." Pattern Recognition Letters 25, no. 13 (2004): 1461–70. http://dx.doi.org/10.1016/j.patrec.2004.05.022.

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Fabris, Massimo, Mirco Balin, and Michele Monego. "High-Resolution Real-Time Coastline Detection Using GNSS RTK, Optical, and Thermal SfM Photogrammetric Data in the Po River Delta, Italy." Remote Sensing 15, no. 22 (2023): 5354. http://dx.doi.org/10.3390/rs15225354.

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High-resolution coastline detection and monitoring are challenging on a global scale, especially in flat areas where natural events, sea level rise, and anthropic activities constantly modify the coastal environment. While the coastline related to the 0-level contour line can be extracted from accurate Digital Terrain Models (DTMs), the detection of the real-time, instantaneous coastline, especially at low tide, is a challenge that warrants further study and evaluation. In order to investigate an efficient combination of methods that allows to contribute to the knowledge in this field, this wo

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Dong, Jie, Jiani Fu, Yong Guan, Haisong Liu, Qing Wang, and Ming Hao. "General Coastline Extraction Based on an Improved Active Contour Model in Jiaozhou Bay, Qingdao, China, from 1990 to 2018 Using Landsat Satellite Images." International Journal of Photoenergy 2021 (October 31, 2021): 1–11. http://dx.doi.org/10.1155/2021/5459210.

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The coastline is located at the junction of the sea and the land, and it is essential for ecological environment. However, most existing methods can extract the coastline with obvious boundaries and cannot obtain the general coastline, including an intertidal zone and salt field. Accordingly, a new general coastline extraction method is proposed on the basis of an improved active contour model to extract the general coastline from remote sensing images. An improved active contour model was proposed to extract the water area by introducing aiming energy of water from the Modified Normalized Dif

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Alcaras, E., P. P. Amoroso, F. G. Figliomeni, C. Parente, and G. Prezioso. "ACCURACY EVALUATION OF COASTLINE EXTRACTION METHODS IN REMOTE SENSING: A SMART PROCEDURE FOR SENTINEL-2 IMAGES." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W3-2022 (December 2, 2022): 13–19. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w3-2022-13-2022.

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Abstract. Different algorithms are available in literature to extract coastline from remotely sensed images and different approaches can be adopted to evaluate the result accuracy. In every case, a reference coastline is suitable to compare alternative solutions: usually, the visual photointerpretation on the RGB composition of the considered imagery and the manually vectorization of the coastline allow an accurate term of comparison, but they are laborious and time consuming. This article aims to demonstrate that a smart procedure is possible using a LiDAR-generated Digital Elevation Model (L

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Khurram, Saima, Amin Beiranvand Pour, Milad Bagheri, Effi Helmy Ariffin, and Mohd Fadzil Akhir. "Automatic extraction of Kuala Terengganu coastline using google earth engine (GEE) by automated water extraction index (AWEI)." IOP Conference Series: Earth and Environmental Science 1412, no. 1 (2024): 012016. https://doi.org/10.1088/1755-1315/1412/1/012016.

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Abstract The study aimed to evaluate changes in Kuala Terengganu’s coastline area from 2014 to 2023 using Google Earth Engine (GEE) and satellite-based images. The approach used automated satellite image searches and JavaScript to analyze specific regions, avoiding the need for downloading whole images. The GEE API code, which incorporates the Automated Water Extraction Index (AWEI) and Otsu Thresholding algorithms, was used to capture small shifts in the shoreline over time. The study demonstrated the global applicability of GEE for automating coastline extraction and object identification us

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Duan, Ping, Jia Li, Mingguo Wang, and Jianyuan Wu. "Spatial-Temporal Analysis of the Coastline Changes in Fujian Province, China from 1995 to 2015." Journal of Environmental Science and Management 24, no. 2 (2021): 1–9. http://dx.doi.org/10.47125/jesam/2021_2/01.

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Coastline is the connection line between the land and the sea, and its extraction and analysis are of great significance to the coastal zone resources and environmental protection. Using remote sensing and Geographic Information Sysytem (GIS), coastline change from 1995 to 2015 in the Fujian Province, China, was extracted. The temporal and spatial evolution characteristics of coastline length, type and spatial location in the Fujian Province, China were analyzed. The coastline length continued to increase from 1995.29 km to 3555.036 km. The overall change intensity in 2010-2015 was the highest

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Paravolidakis, Vasilis, Lemonia Ragia, Konstantia Moirogiorgou, and Michalis Zervakis. "Automatic Coastline Extraction Using Edge Detection and Optimization Procedures." Geosciences 8, no. 11 (2018): 407. http://dx.doi.org/10.3390/geosciences8110407.

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Coastal areas are quite fragile landscapes as they are among the most vulnerable to climate change and natural hazards. Coastline mapping and change detection are essential for safe navigation, resource management, environmental protection, and sustainable coastal development and planning. In this paper, we proposed a new methodology for the automatic extraction of coastline, using aerial images. This method is based on edge detection and active contours (snake method). Initially the noise of the image is reduced which is followed by an image segmentation. The output images are further process

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Liu, Yaolin, Xia Wang, Feng Ling, Shuna Xu, and Chengcheng Wang. "Analysis of Coastline Extraction from Landsat-8 OLI Imagery." Water 9, no. 11 (2017): 816. http://dx.doi.org/10.3390/w9110816.

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Maglione, Pasquale, Claudio Parente, and Andrea Vallario. "Coastline extraction using high resolution WorldView-2 satellite imagery." European Journal of Remote Sensing 47, no. 1 (2014): 685–99. http://dx.doi.org/10.5721/eujrs20144739.

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Wang, Dailiang, and Xiaoyan Liu. "Coastline Extraction from SAR Images Using Robust Ridge Tracing." Marine Geodesy 42, no. 3 (2019): 286–315. http://dx.doi.org/10.1080/01490419.2019.1583147.

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Deng, Jinpu, Yongqing Bai, Zhengchao Chen, Ting Shen, Cong Li, and Xuan Yang. "A Convolutional Neural Network for Coastal Aquaculture Extraction from High-Resolution Remote Sensing Imagery." Sustainability 15, no. 6 (2023): 5332. http://dx.doi.org/10.3390/su15065332.

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Aquaculture has important economic and environmental benefits. With the development of remote sensing and deep learning technology, coastline aquaculture extraction has achieved rapid, automated, and high-precision production. However, some problems still exist in extracting large-scale aquaculture based on high-resolution remote sensing images: (1) the generalization of large-scale models caused by the diversity of remote sensing in breeding areas; (2) the confusion of breeding target identification caused by the complex background interference of land and sea; (3) the boundary of the breedin

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Br Guru Singa, Jesikapna Callia, I. Wayan Nuarsa, and I. Gusti Ngurah Putra Dirgayusa. "Deteksi Perubahan Garis Pantai Menggunakan Citra Satelit Sentinel-2 di Kabupaten Klungkung, Bali." Journal of Marine and Aquatic Sciences 9, no. 1 (2023): 70. http://dx.doi.org/10.24843/jmas.2023.v09.i01.p08.

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Coastline changes are a process that occurs continuously due to movement of sediments, ocean currents, waves, and land use. The impact of this process can be in the form of abrasion and accresion. Due to the huge waves on the south coast, the beaches along the Klungkung Regency are often experience abrasion and accresion. Detection of coastline can use remote sensing methods. This study uses Sentinel-2 satellite images with a spatial resolution of 10 ms to extract the coasline of Klungkung Regency in 2015 and 2020. The coastline extraction method used is the threshold value and band ratio appr

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Parente, Claudio, Emanuele Alcaras, and Francesco Giuseppe Figliomeni. "Coastline Automatic Extraction from Medium-Resolution Satellite Images Using Principal Component Analysis (PCA)-Based Approach." Remote Sensing 16, no. 10 (2024): 1817. http://dx.doi.org/10.3390/rs16101817.

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In recent decades several methods have been developed to extract coastlines from remotely sensed images. In fact, this is one of the principal fields of remote sensing research that continues to receive attention, as testified by the thousands of scientific articles present in the main databases, such as SCOPUS, WoS, etc. The main issue is to automatize the whole process or at least a great part of it, so as to minimize the human error connected to photointerpretation and identification of training sites to support the classification of objects (basically soil and water) present in the observe

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Kim, Mi Kyeong, Hong Gyoo Sohn, Sang Pil Kim, and Hyo Seon Jang. "Automatic Coastline Extraction and Change Detection Monitoring using LANDSAT Imagery." Journal of Korean Society for Geospatial Information System 21, no. 4 (2013): 45–53. http://dx.doi.org/10.7319/kogsis.2013.21.4.045.

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Arslan, Ozan, Özer Akyürek, Şinasi Kaya, and Dursun Z. Şeker. "Dimension reduction methods applied to coastline extraction on hyperspectral imagery." Geocarto International 35, no. 4 (2018): 376–90. http://dx.doi.org/10.1080/10106049.2018.1520920.

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Huang, Chao, Hongmei Zhang, and Jianhu Zhao. "High-Efficiency Determination of Coastline by Combination of Tidal Level and Coastal Zone DEM from UAV Tilt Photogrammetry." Remote Sensing 12, no. 14 (2020): 2189. http://dx.doi.org/10.3390/rs12142189.

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To meet the needs of coastline efficient extraction and dynamic monitoring, this paper proposes a new method for coastline extraction by combining the tidal level and the digital elevation model (DEM) of the coastal zone from tilt photography. Firstly, the DEM of coastal zone was obtained by using unmanned aerial vehicle (UAV) tilt photography; at the same time, the accuracy of aerial triangulation(AT) is improved referencing to the constraint of water boundary points, and then the mean high water spring tide was obtained by combining tidal harmonic analysis and Global Navigation Satellite Sys

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Li, Y., L. Zhoing, Z. Lai, and Z. Gan. "INSTANTANEOUS COASTLINE EXTRACTION FROM LIDAR POINT CLOUD AND HIGH RESOLUTION REMOTE SENSING IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (April 30, 2018): 975–79. http://dx.doi.org/10.5194/isprs-archives-xlii-3-975-2018.

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A new method was proposed for instantaneous waterline extraction in this paper, which combines point cloud geometry features and image spectral characteristics of the coastal zone. The proposed method consists of follow steps: Mean Shift algorithm is used to segment the coastal zone of high resolution remote sensing images into small regions containing semantic information;Region features are extracted by integrating LiDAR data and the surface area of the image; initial waterlines are extracted by α-shape algorithm; a region growing algorithm with is taking into coastline refinement, with a gr

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Rai Putera Yasa, I. Made, I. Made Oka Widyantara, and NMAE Dewi Wirastuti. "PERBAIKAN KONTRAS CITRA MENGGUNAKAN TEKNIK BRIGHTNESS ADJUSTMENT UNTUK SISTEM EKSTRAKSI GARIS PANTAI." Jurnal SPEKTRUM 4, no. 2 (2018): 42. http://dx.doi.org/10.24843/spektrum.2017.v04.i02.p06.

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This study has evaluated the application of brightness adjustment technique to improve image contrast in the framework of coastline extraction on video-based shoreline monitoring system. In this monitoring system, the shoreline detection mechanism is done by introducing the land and sea objects in the video image. Changes in sea conditions due to weather changes cause a change in the contrast in the coastal image. The change in contrast will lead to inaccurate coastline detection. The brightness adjustment technique is applied to the image pre-processing to produce stable contrast in all condi

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Li, Yongsong, Zhengzhou Li, Weiqi Xiong, and Jiangpeng Yu. "Sea-Sky-Line/Coastline Extraction in Infrared Imagery Based on Structure Tensor and Hough Transform." International Journal of Signal Processing Systems 7, no. 4 (2019): 123–28. http://dx.doi.org/10.18178/ijsps.7.4.123-128.

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