Analysis of the dynamics of coastal landform change based on the integration of remote sensing and gis techniques: Implications for tidal flooding impact in pekalongan, central java, Indonesia

Abstract

Coastal landforms are located in the interface zone between atmosphere, ocean and land surface systems formed by the geomorphic process of erosion, depositional, and subsidence. Studying the dynamics of coastal landform change is important for tracing the relationship between coastal landform changes and tidal flooding in the coastal areas of Pekalongan, Indonesia. The method of integrating remote sensing data with geographic information system (GIS) techniques has been widely used to monitor and analyze the dynamics of morphology change in coastal landform areas. The purpose of this study is to map the dynamics of landform change in the study area from 1978 to 2017 and to analyze its implications for the impact of tidal flooding. The results of the mapping and change analysis associated with coastal landforms can be classified into four landform types: beach, beach ridge, backswamp and alluvial plain. Changes in coastal morphology and landform topography affected by land subsidence and changes in land use/ land cover have contributed to the occurrence of tidal flooding in the study area. Beach ridges perform an important role as natural levees which hold back and prevent the entry of seawater at high tide in coastal areas. A limitation of this study is that, as it focuses only on the physical aspects of coastal landform characteristics for one of the factors causing tidal flooding.

R Libraries {dendextend} and {magrittr} and Clustering Package scipy.cluster of Python For Modelling Diagrams of Dendrogram Trees

“…Other examples of the geospatial mapping for analysis of the datasets is illustrated by automated vectorization of the isolines using AutoTrace [56], geostatistical approaches by ArcGIS [57][58][59][60][61][62][63]. Effective way of the data analysis is a combination of various methods, for instance, C++, Matlab, cartographic mapping by ArcGIS [64][65], CARIS HIPS and GMT [66], or AWK and Octave with GMT [67].…”

A review and meta-analysis of remote sensing data, GIS methods, materials and indices used for monitoring the coastline evolution over the last twenty years

“…The beginning of the coastline evolution mapping is inextricably linked with the use of topographic maps (Gil et al, 2019;Hoque et al, 2019;Carolina et al, 2018;Kaliraj et al, 2017;Ayadi et al, 2016;Ganasri & Ramesh, 2016;Prasita, 2015;Kumaravel et al, 2013;John & Scott, 2010;Xuejie & Damen, 2010;Appeaning 2009;Aris et al, 2008;Peter & Kaminsky George, 2003;Charles et al, 2003). Moreover, toposheets were the most reliable data utilized as base maps for satellite images georeferencing (Yulianto et al, 2019;Fatima et al, 2018;Joevivek & Saravanan Sakthivel, 2018;Vandebroek et al, 2017;Bharathvaj 2015;Joevivek & Saravanan Sakthivel, 2013;Sharma & Acharya, 2010;Nageswara Rao et al, 2008;.…”

“…Landsat series have been used by most of the researchers such as (Valderrama-Valderrama-Landeros & Flores-de-santiago, 2019); Al-Amin (Hoque et al, 2019;Chao Chen Chao Chen et al, 2019;Mohammed et al, 2019;Yan et al, 2019;Yulianto et al, 2019;Ratna, 2019;Ratna & Bijker, 2019;Karim et al, 2019;Sandeep et al, 2018;Yawo et al, 2018;Behling et al, 2018;Asib et al, 2018;Joevivek & Saravanan Sakthivel, 2018;Do et al, 2018;Zed Abu et al, 2018;Liu & John, 2018;Ratna et al, 2018;Xu Nan, 2018;Kaliraj et al, 2017;Mitra et al, 2017;Qingxiang Liu et al, 2017;Ratna et al, 2017;Luca et al, 2017;Manjulavani et al, 2017;Wenyu & Gong, 2016;Jaime et al, 2016;Vittal & Akshaya, 2015;Usha et al, 2015;Salghuna & Aravind Bharathvaj, 2015;George et al, 2015;Prasita, 2015;Kankara et al, 2015;Gudina Feyisa et al, 2014;Sedar et al, 2014;Yanxia Liu et al, 2013;Joevivek & Saravanan Sakthivel, 2013;Luca et al, 2013;Pardo-Pascual et al, 2012;Bouchahma et al, 2012;…”

“…Studies that emphasized in multitemporal shoreline evolution used all the Landsat series MSS, TM, ETM and OLI. For instance, Landsat images have been used by Fajar et al (Yulianto et al, 2019) to perform coastal landform mapping, as well as a recording of multitemporal progress in coastal formation for twenty years in Pekalongan, Indonesia. Esmail et al (Mohammed et al, 2019) used Landsat 5 and 7 images to assess the evolution of shoreline due to the seawall structures existed from a period of 1990 to 2015 in Damietta coast, Egypt.…”

Dynamics of Global Coastline: An Exposition of Erosional and Depositional Landforms Along The Komenda Coastline in The Central Coastal Plains of Ghana

“…Coastal land forms occur in the dynamic zone at the interface between the three major natural systems of the Earth's surface: atmosphere, ocean and land surface [3]. These landforms are susceptible to change when it is attacked by waves, coastal currents, the wind, sediment transport and anthropogenic activities [13]. "Studies [10] pointed out that depositional landforms manifest as beach, sandbar, sand spit, tombolo, coastal dune, offshore bar while the coastal erosional landforms are cliff, caves, blowhole, geo, notch, stack, arch, stumps."…”