A Spatiotemporal Change Detection Analysis of Coastline Data in Qingdao, East China

Yasir, Muhammad; Song, Hui; Zheng, Hui; Hossain, Md Sakaouth; Fan, Hong; Zhang, Li; Zhao, Jixiang

doi:10.1155/2021/6632450

Cited by 16 publications

(12 citation statements)

References 50 publications

(54 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The growth of urban fronts in the coastal area resulted this artificial increase of coastline length. For example in Asia, Yasir et al [41] found from 2000 to 2019 a rise of 68% in the length of artificial coastline of Qingdao in East China, compared to the total length of about 500 km. Chee et al [42] found 21 km of artificial coast in a coastline 106 km-long in Penang Island, in Malaysia.…”

Section: Discussionmentioning

confidence: 99%

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

Skilodimou

Antoniou

Bathrellos

et al. 2021

Water

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionmentioning

confidence: 99%

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

Skilodimou

Antoniou

Bathrellos

et al. 2021

Water

View full text Add to dashboard Cite

show abstract

“…With the rapid development of high-resolution satellites, the research on coastline extraction based on high-resolution images has also been widely used. Various research scholars have presented many methods for remote sensing interpretation of coastline; the automatic coastline extraction methods such as edge detection (Liu and Jezek, 2004;Sheng et al, 2021), region growth (Jin et al, 2020), threshold segmentation (Wang et al, 2016;Chen et al, 2022), deep learning (Liu et al, 2019), and object-oriented method (Ge et al, 2014;Wu et al, 2015) are used worldwide, while traditional methods, such as the visual interpretation of human-computer interaction, are still widely used by experts to extract coastal information (Yasir et al, 2021). The edge detection, regional growth, and threshold segmentation methods are easily affected by the complex coastal environment, and the type attributes of the coastline cannot be obtained (Yasir et al, 2020;Chang et al, 2021;Yi et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Coastline extraction based on multi-scale segmentation and multi-level inheritance classification

et al. 2022

Self Cite

View full text Add to dashboard Cite

Detailed management of the coastline is critical to the development of coastal states. However, the current classification of the coastline is relatively weak. This study proposed an automatic method to detect coastlines with category attributes based on multi-scale segmentation and multi-level inheritance classification. Fully integrating the advantages of multi-scale segmentation and multi-level classification, it solved the problems that traditional methods could not solve, such as extracting coastlines with categorical attributes, cultivation ponds that are easily affected by tidal flats, and complex coastal terrain. The Chinese GF-2 satellite images are used to extract various types of coastlines in Jiaozhou Bay and its surrounding areas such as the harbor-wharf coastline, silt coastline, pond coastline, rocky coastline, and sandy coastline. Compared with the human interpretation, it is found that the coastline extracted by our proposed method is different by 10.104 km in the harbor-wharf coastline, 0.099 km in the silt coastline, 2.677 km in the pond coastline, 8.831 km in the rocky coastline, and 0.218 km in the sandy coastline. Furthermore, compared to the object-based region growing integrating edge detection (OBRGIE) method, it is increased by 13.52%, 2.16%, 14.48%, 52.57%, and 22.97%, respectively. The results show that our proposed method is algorithmically more reasonable, accurate, and powerful. It can provide data support for refined coastline management.

show abstract

“…Bushra et al [21] analyzed multi-temporal satellite images of the Kuakata shoreline from 1989 to 2020 by using remote sensing and the GIS method and concluded that it is an unstable shoreline where both erosion and accretion were taking place over the study period. Yasir et al [22] studied the spatiotemporal of coastline data in Qingdao with Landsat from 2000 to 2019 and found that the coastal zone has increased continuously over the last two decades.…”

Section: Introductionmentioning

confidence: 99%

Detection of Coastline Changes using Multi-Temporal Satellite Images: A case study of Gianyar and Klungkung Regency, Bali

Hastuti

Suniada

Nagai

2022

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

Coastal areas are one of the essential regions for the ecosystem. Consequently, monitoring and detecting the changes of coastal areas is thus necessary in order to provide valuable information for future mitigation and adaptation. Recently, the utilization of satellite images for coastal areas has been used widely and effectively as a viable alternative to in-situ observation and monitoring. In this study, multi-temporal satellite imagery data from Sentinel-2 have been used to find out the changes in the coastal area of Gianyar and Klungkung Regency - Bali, considering the capability which has good resolution with a wide swath and high revisit time. Sentinel-2 imagery data taken from 2016 and 2019 at an interval of about 4 years were collected to determine coastline changes. There are two main steps to detect the coastline. First is image classification by supervised classification where each pixel has been labeled with one or three classes. And the second is to make border segmentation between sand and water by applying the Modified Normalized Difference Water Index (MNDWI). The areas that are experiencing erosion and accretion were determined by using the overlay method between two satellite images. Results show that about 9,248 m2 of coastline were eroded in Gianyar Regency and 121,000 m2 in Klungkung Regency for the period of 2016 to 2019. Meanwhile, the accretion area reached 158,615 m2 in Gianyar and 32,159 m2 in Klungkung Regency.

show abstract

A Spatiotemporal Change Detection Analysis of Coastline Data in Qingdao, East China

Cited by 16 publications

References 50 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

Coastline extraction based on multi-scale segmentation and multi-level inheritance classification

Detection of Coastline Changes using Multi-Temporal Satellite Images: A case study of Gianyar and Klungkung Regency, Bali

Contact Info

Product

Resources

About