Spatiotemporal Analysis of Shoreline Changes of the Kizilirmak Delta

Öztürk, Derya; Beyazit, Isik; Kilic, Fatmagul

doi:10.2112/jcoastres-d-14-00159.1

Cited by 29 publications

(13 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In fact, the former was widely used for detecting the coastline change by computing the distance between the self-defined reference baseline and multi-temporal coastlines [16]. The baseline was manually generated along the coastline with various directions [56][57][58]. Transects were generated along the baseline with a given interval.…”

Section: Coastline Change Rate Estimationmentioning

confidence: 99%

Detecting Coastline Change with All Available Landsat Data over 1986–2015: A Case Study for the State of Texas, USA

2018

Atmosphere

View full text Add to dashboard Cite

Coastline change often results from social and natural factors, such as human activities in the coastal zone, long-term and short-term sea level change, hurricane occurrences, subsequent recovery, and so on. Tracking coastline change is essential to deepen our understanding of coastal responses to these factors. Such information is also required for land use planning and sustainable development of coastal zones. In this context, we aimed to collect all available Landsat data (TM: Thematic Mapper, ETM+: Enhanced Thematic Mapper Plus and OLI: Operational Land Imager) over 1986-2015 for tracking the coastline dynamic and estimating its change rate in the State of Texas, USA. First, the land vs. water maps at an annual scale were derived from the satellite images. The border between land and water represents the coastline in this study. Second, the annual land area was obtained to characterize the coastline dynamic and a linear regression model was used for estimating the change rate. We also analyzed the potential driving factors of the observed coastline change. The results reveal that the coastline in the State of Texas changed at a rate of −0.154 ± 0.063 km 2 /year from 1986 to 2015, which indicates that the coastline has mainly experienced an erosion over the past three decades. Specifically, 52.58% of the entire coastline retreated to the land while a 47.42% portion advanced to the ocean. Long-term sea level rise can result in the erosion of coastline. Hurricane occurrences can explain the relatively strong coastline erosion. Besides, significant difference between the coastline change rate with a higher curvature and a lower curvature was observed. This study establishes a general method for detecting coastline change at large spatial and long-term temporal scales, by using remote sensing that can give fundamental information on coastline change. This is important for making scientific and reasonable policies of sustainable development of coastal zones.

show abstract

Section: Coastline Change Rate Estimationmentioning

confidence: 99%

Detecting Coastline Change with All Available Landsat Data over 1986–2015: A Case Study for the State of Texas, USA

2018

Atmosphere

View full text Add to dashboard Cite

show abstract

“…Throughout the above studies, the research on coastline changes has been mainly focused on two aspects: firstly, that the characteristics of the spatiotemporal changes to the coastline are described by the rate of coastline change and the changes in the land and sea area caused by the coastline changes [28,29]; secondly, analyzing the characteristics and trends, whilst also exploring the influence of climate, geology, human activities, and other factors on coastline changes [30][31][32][33]. However, existing coastline research has mainly focused on smaller areas, such as bays and estuaries [34][35][36]. Their regional limitations have prevented the comparative analysis of large-scale long-term sequences [37].…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Characteristics of Coastline Changes in Indonesia from 1990 to 2018

et al. 2020

View full text Add to dashboard Cite

As a valuable resource in coastal areas, coastlines are not only vulnerable to natural processes such as erosion, siltation, and disasters, but are also subjected to strong pressures from human processes such as urban growth, resource development, and pollution discharge. This is especially true for reef nations with rich coastline resources and a large population, like Indonesia. The technical joint of remote sensing (RS) and geographic information system (GIS) has significant advantages for monitoring coastline changes on a large scale and for quantitatively analyzing their change mechanisms. Indonesia was taken as an example in this study because of its abundant coastline resources and large population. First, Landsat images from 1990 to 2018 were used to obtain coastline information. Then, the index of coastline utilization degree (ICUD) method, the changes in land and sea patterns method, and the ICUD at different scales method were used to reveal the spatiotemporal change pattern for the coastline. The results found that: (1) Indonesia’s total coastline length has increased by 777.40 km in the past 28 years, of which the natural coastline decreased by 5995.52 km and the artificial coastline increased by 6771.92 km. (2) From the analysis of the island scale, it was known that the island with the largest increase in ICUD was Kalimantan, at the expense of the mangrove coastline. (3) On the provincial scale, the province with the largest change of ICUD was Sumatera Selatan Province, which increased from 100 in 1900 to 266.43 in 2018. (4) The change trend of the land and sea pattern for the Indonesian coastline was mainly expanded to the sea. The part that eroded to the land was relatively small; among which, Riau Province had the most significant expansion of land area, about 177.73 km2, accounting for 23.08% of the increased national land area. The worst seawater erosion was in the Jawa Barat Province. Based on the analysis of population and economic data during the same period, it was found that the main driving mechanism behind Indonesia’s coastline change was population growth, which outweighed the impact of economic development. However, the main constraint on the Indonesian coastline was the topographic factor. The RS and GIS scheme used in this study can not only provide support for coastline resource development and policy formulation in Indonesia, but also provide a valuable reference for the evolution of coastline resources and environments in other regions around the world.

show abstract

“…However, remote sensing is generally an optimal method because it can be used to view the same area on different dates and to obtain measurements in different sections of the electromagnetic spectrum and is fast and economical [5,25,26]. Although remote sensing is commonly used to determine shorelines and analyze shoreline changes [27][28][29][30][31], the use of remote sensing for analyzing the river planform and its changes is limited in the literature [32,33].…”

mentioning

confidence: 99%

“…Because of dams and sand and gravel extraction activities, the amount of sediment carried by the river to the sea decreased, and deterioration around estuaries and coastal erosion occurred [31,35,37]. In the section where the river flows into the Kizilirmak, Bafra Delta Plain was covered by the sea, and a large amount of fertile soil was lost.…”

mentioning

confidence: 99%

Determination of Temporal Changes in the Sinuosity and Braiding Characteristics of the Kizilirmak River, Turkey

Öztürk¹,

Sesli²

2015

Pol. J. Environ. Stud.

Self Cite

View full text Add to dashboard Cite

Spatiotemporal Analysis of Shoreline Changes of the Kizilirmak Delta

Cited by 29 publications

References 16 publications

Detecting Coastline Change with All Available Landsat Data over 1986–2015: A Case Study for the State of Texas, USA

Detecting Coastline Change with All Available Landsat Data over 1986–2015: A Case Study for the State of Texas, USA

Spatial-Temporal Characteristics of Coastline Changes in Indonesia from 1990 to 2018

Determination of Temporal Changes in the Sinuosity and Braiding Characteristics of the Kizilirmak River, Turkey

Contact Info

Product

Resources

About