Google Earth: A New Resource for Shoreline Change Estimation—Case Study from Jaffna Peninsula, Sri Lanka

Warnasuriya, T.W.S.; Gunaalan, K.; Gunasekara, S.S.

doi:10.1080/01490419.2018.1509160

Cited by 32 publications

(20 citation statements)

References 30 publications

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“…Aerial photos supply high-resolution images, but they are an expensive and time-consuming process when covering a large area. On the other hand, medium spatial resolution satellite images such as Landsat can be very helpful in the case of provincial, national or global scale temporal mapping processes and are available for free of charge [20]. Another advantage of the method is that aerial photos and remote sensing data can easily and quickly combined Moreover in the other two subareas, Alimos and Glyfada the artificial surfaces took up the coastal area.…”

Section: Discussionmentioning

confidence: 99%

“…In the last decades, earth observation (EO) data such as aerial photography, satellite imagery, and GPS data have become integral means for the evaluation of shoreline changes over a long period of time. They have availability of temporal data at the same locations and are cost effective [20,21]. Moreover, geographical information systems (GIS) are excellent tools in the spatial analysis of various natural phenomena [22][23][24][25][26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

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Mapping of Coastline Changes in Athens Riviera over the Past 76 Year’s Measurements

Skilodimou

Antoniou

Bathrellos

et al. 2021

Water

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Mapping of coastline changes assists in coastal development and monitoring. Athens Riviera, located in the southwestern coastal zone in Attica in central Greece, has undergone major and radical changes generated by human interference during the last decades. The aim of this paper is to map record and measure the coastline changes in Athens Riviera over the past 76 years. Aerial photographs and satellite images from 1945 to 2021 as well as geographic information system (GIS) techniques were used to depict the spatial and temporal variations of the coastline. The results show that 60% of the total length of the coastline is artificial coast, while 29% is rocky coast and 12% beach. The study of seven subareas showed that human interventions caused significant coastline changes in Faliro Bay, Alimos and Glyfada. The adjacent coastal regions to Athens metropolitan area illustrate the highest modifications in the coastline. The main changes in the coastlines are recorded from 1960 to 1987, while the rate of changes in coastline slowed down from 1987 to 2021. The total changes in the coastline of Athens Riviera demonstrate that, during the past 76 years, the coastline was enhanced by 40% while land reclaimed to the sea area approaches 2.67 km2. The applied method is effective and rapid and may utilize in the coastal monitoring and management.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mapping of Coastline Changes in Athens Riviera over the Past 76 Year’s Measurements

Skilodimou

Antoniou

Bathrellos

et al. 2021

Water

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“…Hence, the area between the coastline and the 30/40 cm isobath should be measured by the geodetic method [20] or photogrammetric method with unmanned [65] or manned aircraft [66,67]. Moreover, alternatively, the coastal water depths can be determined by analyzing high-resolution satellite images [68][69][70][71].…”

Section: Discussionmentioning

confidence: 99%

Determining the Variability of the Territorial Sea Baseline on the Example of Waterbody Adjacent to the Municipal Beach in Gdynia

Specht

Wąż

et al. 2019

Applied Sciences

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The purpose of this publication is to analyze the spatial and temporal variability of the territorial sea baseline in sand bottom waterbodies, which were determined twice, in 2016 and 2018, by the Real Time Kinematic (RTK) method. This involves direct measurement of sea bottom coordinates on planned hydrographic sounding profiles using a Global Navigation Satellite System (GNSS) receiver mounted on a pole. The data were the basis for creating Digital Terrain Models (DTM), which were then used to determine the baseline for both measurement campaigns. Subsequently, terrain surface models were compared to determine bathymetry changes in the area under analysis, and an assessment was made of the baseline spatial position change over the previous two years. The measurements have shown considerable spatial and temporal variability of the baseline course along a short section of sandy beach. The territorial sea baseline was very unstable; in some places, it moved by even 20–25 m, landwards and seawards. Therefore, one can suppose that these changes are periodic, and one can conclude that the reliability of the baseline measurements can decrease quite quickly.

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“…Satellite and multispectral imagery have been used for various studies related to beaches: their development [47][48][49], morphodynamics [50][51][52], vulnerability [53], or, e.g., beach erosion, on a larger scale [54][55][56][57][58]. In recent years, the use of UAV has become one of the most commonly used methods for monitoring [17,59] or short-term morphological alteration [43,60].…”

Section: Investigations Of Beach Morphologymentioning

confidence: 99%

Assessment of Remote Sensing Techniques Applicability for Beach Morphology Mapping: A Case Study of Hvar Island, Central Adriatic, Croatia

Mićunović

Faivre

Gašparović

2021

JMSE

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This study investigates the quality and accuracy of remote sensing data in beach surveys based on three different data sources covering a 10-year period (2011–2021). Orthophotos from State Geodetic Administration Geoportal and satellite imagery from Google Earth were compared with orthophotos generated from UAV using ArcGIS Pro and Drone2Map. The beach area and length of 20 beaches on the island of Hvar were measured using each data source from different years. The average deviation for beach area (−2.3 to 5.6%) and length (−1 to 2.7%) was determined (without outliers). This study confirms that linear feature measurement is more accurate than polygon-based measurement. Hence, smaller beach areas were associated with higher errors. Furthermore, it was observed that morphological complexity of the beach may also affect the measurement accuracy. This work showed that different remote sensing sources could be used for relatively accurate beach surveys, as there is no statistically significant difference between the calculated errors. However, special care should always be addressed to the definition of errors.

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Google Earth: A New Resource for Shoreline Change Estimation—Case Study from Jaffna Peninsula, Sri Lanka

Cited by 32 publications

References 30 publications

Mapping of Coastline Changes in Athens Riviera over the Past 76 Year’s Measurements

Mapping of Coastline Changes in Athens Riviera over the Past 76 Year’s Measurements

Determining the Variability of the Territorial Sea Baseline on the Example of Waterbody Adjacent to the Municipal Beach in Gdynia

Assessment of Remote Sensing Techniques Applicability for Beach Morphology Mapping: A Case Study of Hvar Island, Central Adriatic, Croatia

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