Combining series of multi-source high spatial resolution remote sensing datasets for the detection of shoreline displacement rates and the effectiveness of coastal zone protection measures (original) (raw)
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A series of methodologies are described in this paper aiming to quantify the natural hazard due to the coastal changes at a deltaic fan. The coastline of Istiaia (North Evia, Greece) has been chosen for this study as several areas of accretion and erosion have been identified during the past few decades. We combined different types of datasets, extracted from high resolution panchromatic aerial photographs and traced the contemporary shoreline by high accuracy surveying with Real Time Kinematics (RTK) GPS equipment. The interpretation of all shorelines required geo-statistical analysis in a Geographical Information System. A large number of high resolution morphological sections were constructed normally to the coast, revealing erosional and depositional parts of the beach. Retreating and extension rates were calculated for each section reaching the values of 0.98 m/yr and 1.36 m/yr, respectively. The results proved to be very accurate, allowing us to expand the developed methodology by using more complete time-series of remote sensing datasets along with more frequent RTK-GPS surveying.
Environmental Monitoring and Assessment, 2009
Coastline mapping and coastline change detection are critical issues for safe navigation, coastal resource management, coastal environmental protection, and sustainable coastal development and planning. Changes in the shape of coastline may fundamentally affect the environment of the coastal zone. This may be caused by natural processes and/or human activities. Over the past 30 years, the coastal sites in Turkey have been under an intensive restraint associated with a population press due to the internal and external touristic demand. In addition, urbanization on the filled up areas, settlements, and the highways constructed to overcome the traffic problems and the other applications in the coastal region clearly confirm an intensive restraint. Aerial photos with medium spatial resolution and high resolution satellite imagery are ideal data sources for mapping coastal land use and monitoring their changes for a large area. This study introduces an efficient method to monitor coastline and coastal land use changes using time series aerial photos (1973 and 2002) and satellite imagery (2005) covering the same geographical area. Results show the effectiveness of the use of digital photogrammetry and remote sensing data on monitoring large area of coastal land use status. This study also showed that over 161 ha areas were filled up in the research area and along the coastal land 12.2 ha of coastal erosion is determined for the period of 1973 to 2005. Consequently, monitoring of coastal land use is thus necessary for coastal area planning in order to protecting the coastal areas from climate changes and other coastal processes.
International Journal of coastal and offshore engineering
Coastal areas are one of the most crucial and important area in each country. They are also one the most dynamics area, which undergo significant changes in relatively short periods. Protecting coastlines from erosion and/or sedimentation thus, is one of the most important duties in each country. In this study, shoreline change in the Beris Port-east of Chabahar, Iran, was investigated using remote sensing technique and DSAS tools. Beris Port is located 85 km east of Chabahar, on the Makran coast. Landsat 8 and 5 satellite images were used to detect shoreline change, due to the port's construction date, satellite imagery of 1988, 1990, 2014 and 2019 was used. Using the NSM, SCE, EPR and LRR statistical indexes of the DSAS tool, erosion and accretion rates were calculated in for the area. According to the LRR index, the lowest shoreline change rate is-1.51 m/year and is detected to be to the east of port. The highest rate of shoreline change is 7.44 m/year at the port. According the results, the main reason for this high rate of change is the location of the port, which is in the area perpendicular to its neighborhood coastal area, which causes to trap the current in this area to increase its dynamic activities. Shortly speaking, it was found that the accretion is dominant in port Beris and east of the port is the zone with least amount of accretion.
Journal of Marine Science and Engineering
The primary objective of this research is to demonstrate advanced surveying methods and techniques for coastal erosion identification and monitoring in a densely human-populated coastline, the southern coastline of the Gulf of Patras (Greece), which diachronically suffers erosion problems expected to become worse in the forthcoming years due to climate change and human intervention. Its importance lies in the fact that it presents a robust methodology on how all modern scientific knowledge and techniques should be used in coastal erosion problems. The presented methods include the use of satellite and aerial photo imaging, shallow seabed bathymetry and morphology, sediment sampling, geotechnical investigations, as well as hydrodynamic modelling. The results are extensively analyzed in terms of their importance in coastal erosion studies and are cross-validated to define those areas most vulnerable to erosion. Towards this scope, the seabed erosion rate produced by hydrodynamic model...
Assessment of Shoreline Changes Due to Anthropogenic Activities using Remote Sensing & GIS
International journal of engineering research and technology, 2018
This is a humble effort to study the coastline / shoreline changes along the coast of Chennai due to anthropogenic activities such as constructions of harbors, ports, groins, jetties etc., using Remote Sensing and GIS technology. Since it is found that our country is in need of developing a standard method for mapping and modeling the highly dynamic process of shoreline changes. This study is going to investigation the shoreline changes due to anthropogenic activities in Chennai port. Multiband satellite imageries where used are 1988, 1996 and 2009 covering 12 years period. The statistical analysis is done by using open source software tools and average rate oferosion calculated for the coast of Chennai.
Automatic detection of shoreline change: case of North Sinai coast, Egypt
Journal of Coastal Conservation, 2018
This paper introduces an appropriate visualization of how to effectively digitize, quantify and predict shoreline kinematics changes. The method relies mainly on the coupling of Geographic Information System (GIS) with Digital Shoreline Analysis System (DSAS). The North Sinai coast in Egypt is selected as a case study. The proposed technique is applied over a quartercentennial period of 27 years (1989-2016). However, the years 2025, 2035, and 2050 are used for prediction purpose. Histogram threshold of band 5, Histogram threshold of band ratio, and Tasselled Cap Transformation (TCT) are initially tempted as semiautomatic shoreline extraction techniques for Landsat ETM 2010 imagery. Among of them, the TCT is found superior as a digitizing technique that attains the least normalized root mean square errors with the corresponding field data in 2010. Meanwhile, the shoreline change rates in the form of erosion/accretion patterns are automatically quantified by four statistical parameters functioned in DSAS coding. Those, namely end point rate (EPR), net shoreline movement (NSM), linear regression rate (LRR), and least median of squares (LMS). On the basis of the LRR and EPR results, this study offers to the coastal managers a highly reliable decision-support-algorism that can dynamically assist in elaborating strategies to curtail the non-affirmative consequences due to the erosion/accretion of the shoreline.
2024
The continuous change of shoreline boundaries due to natural or human causes has created the necessity for shoreline monitoring. Sedimentation occurs in shallow water level areas where a river or creek discharges into the sea or ocean. Continuous erosion and sediment accumulation cause shoreline changes, which may result in losing land soil or destructive accumulation of sediments. This catastrophic natural event may harm coastal lands with economic value, such as beaches, agricultural areas, residential buildings, and hotels. Traditional shoreline monitoring is done by physically collecting data over a period of time in the desired location. Standard methodology requires many things, such as workforce, funding, and, more importantly, a long duration. This study examines monitoring shoreline change in Alanya, Türkiye, with Digital Shoreline Analysis System (DSAS) by using geographical information systems and remote sensing analysis. The study area is narrowed step by step by constructing different models to compare the results. The smallest microzone is selected as Dim River mouth in Alanya, Türkiye, for being naturally dynamic and having less human activity, which may cause artificial changes in shorelines. The research consists of analyzing the satellite images from two different satellites, Landsat and Planet, and corresponding reanalysis data of the coastline. Based on the results, seasonal and cyclical behavior is obtained in the area. As the study area decreases, the changes in shoreline changes. Throughout the study area, mostly erosion is observed. In Dim River Mouth, the seasonal change in shorelines is obtained roughly between -25 and +25 meters for Landsat-8 imagery and -8 and +4 meters for Planet imagery.
Medium resolution satellite imagery as a tool for monitoring shoreline change
Jayson-Quashigah, P-N., Appeaning Addo, K. and Kufogbe, S.K., 2013. Shoreline monitoring using medium resolution satellite imagery, a case study of the eastern coast of Ghana. 0749-0208. Shoreline change analysis provides important information upon which most coastal zone management and intervention policies rely. Such information is however mostly scarce for large and inaccessible shorelines largely due to expensive field work. This study investigated the potential of medium resolution satellite imagery for mapping shoreline positions and for estimating historic rate of change. Both manual and semi-automatic shoreline extraction methods for multispectral satellite imageries were explored. Five shoreline positions were extracted for 1986, 1991, 2001, 2007 and 2011 covering a medium term of 25 years period. Rates of change statistics were calculated using the End Point Rate and Weighted Linear Regression methods. Approximately 283 transects were cast at simple right angles along the entire coast at 200m interval. Uncertainties were quantified for the shorelines ranging from ±4.1m to ±5.5m. The results show that the Keta shoreline is a highly dynamic feature with average rate of erosion estimated to be about 2m/year ±0.44m. Individual rates along some transect reach as high as 16m/year near the estuary and on the east of the Keta Sea Defence site. The study confirms earlier rates of erosion calculated for the area and also reveals the influence of the Keta Sea Defence Project on erosion along the eastern coast of Ghana. The research shows that shoreline change can be estimated using medium resolution satellite imagery.
Remote Sensing and Gis to Support Coastal Erosion Risk Analysis in Calabria, Italy
2020
In territories such as Calabria, Italy, characterized by about 750 km of coasts, the analysis of the coastal erosion risk is of increasing interest due to the considerable anthropic pressure observed in the last few decades. Index-based methods can be used to assess the risk of coastal erosion. The paper shows an analysis of the coastal erosion risk carried out in Calabria. The analysis was carried out in over 50 sample coastal areas, three of them were chosen as case studies for a detailed analysis. The analysis of the shoreline changes was carried out through the comparison of various cartography data, which consists of historical shorelines taken from the Open Data section of the Calabrian Geoportal, orthophotos taken from the Open Data section of the Italian Geoportal, and satellite imagery provided by Google Earth. The analysis was divided into four phases as follows. The first phase concerned the manual digitization of each missing shoreline, using QGIS for each orthophotos an...