scholarly journals Technical and Social Approaches to Study Shoreline Change of Kuakata, Bangladesh

2021 ◽  
Vol 8 ◽  
Author(s):  
Nazla Bushra ◽  
Rubayet Bin Mostafiz ◽  
Robert V. Rohli ◽  
Carol J. Friedland ◽  
Md Adilur Rahim
Keyword(s):  
Land Use Planning ◽  
Local Level ◽  
Coastal Region ◽  
Shoreline Change ◽  
Landsat 8 ◽  
Shoreline Stabilization ◽  
South Central ◽  
Approaches To Study ◽  
Coastal Risk ◽  
Improved Accuracy

In recent years, shoreline determination has become an issue of increasing importance and concern, especially at the local level, as sea level continues to rise. This study identifies the rates of absolute and net erosion, accretion, and shoreline stabilization along the coast of Kuakata, a vulnerable coastal region in south-central Bangladesh. Shoreline change was detected by applying remote sensing and geographic information system (RS-GIS)-based techniques by using Landsat Thematic Mapper (TM), Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) satellite images at 30-m resolution from 1989, 2003, 2010, and 2020. The band combination (BC) method was used to extract the shoreline (i.e., land-water boundary) due to its improved accuracy over other methods for matching with the existing shoreline position. This study also used participatory rural appraisal (PRA) tools which revealed the societal impacts caused by the shoreline changes. Coupling RS-GIS and PRA techniques provides an enhanced understanding of shoreline change and its impacts because PRA enriches the RS-GIS outcomes by contextualizing the findings. Results show that from 1989 to 2020, a total of 13.59 km2 of coastal land was eroded, and 3.27 km2 of land was accreted, suggesting that land is retreating at about 0.32 km2 yr–1. Results from the PRA tools support this finding and demonstrate that fisheries and tourism are affected by the shoreline change. These results are important in Kuakata, a major tourist spot in Bangladesh, because of the impacts on fisheries, recreation, resource extraction, land use planning, and coastal risk management.

Rapid detection of changes in the riverbanks of Laigiang river of the South Central Coast Vietnam: A methodology based on Digital Shoreline Analysis System and Sentinel-2

2021 ◽  
Vol 14 (11) ◽  
pp. 13-24
Author(s):  
Anh Tu Ngo ◽  
Stéphane Grivel ◽  
Thai Le Phan ◽  
Huu Xuan Nguyen ◽  
Trong Doi Nguyen
Keyword(s):  
Linear Regression ◽  
Shoreline Change ◽  
The South ◽  
Central Coast ◽  
Shoreline Changes ◽  
South Central ◽  
Digital Shoreline Analysis System ◽  
Analysis System ◽  
End Point Rate ◽  
Sentinel 2

The research focuses on using Sentinel-2 that can be integrated with the Digital Shoreline Analysis System (DSAS) as an effective tool for the determination of changes in the riverbanks and using linear regression to predict shoreline changes. The research applied the assessment of shoreline changes in the period of 2015- 2020 and forecast to 2025 in Laigiang river of the South Central Coast region of Vietnam. Based on the DSAS tool, parameters such as Shoreline Change Envelope (SCE), Net Shoreline Movement (NSM), End Point Rate (EPR) and Linear Regression Rate (LRR) were determined. The analysis results show that the accretion process in the Laigiang river in the period of 2015-2020 with the accretion area ranges from 81.47 ha. Meanwhile, the area of shoreline erosion only fluctuates around 54.42 ha. The rhythm of evolution is a determinant element for this transitional system.

Avalanche zoning in alaska, U.S.A.

1980 ◽  
Vol 26 (94) ◽  
pp. 377-392 ◽  
Author(s):  
Steve W. Hackett ◽  
Henry S. Santeford
Keyword(s):  
Land Use Planning ◽  
Climatic Conditions ◽  
Snow Avalanche ◽  
Hazard Evaluation ◽  
Terrain Analysis ◽  
Snow Pack ◽  
Climatological Data ◽  
South Central ◽  
Hazard Zoning ◽  
Data Compilation

AbstractOver 30% of Alaska’s 586 400 squares miles (1 518900 km2) is subject to snow-avalanche activity. For a state-wide avalanche hazard evaluation, Alaska has been divided into six major snow— avalanche regions on the basis of topography, climatological data, dominant snow—pack conditions, and typical avalanche activity. They are: Arctic Slope, Brooks Range, Western, Interior, South—central, and South—east.Mountainous terrain was studied at scales of 1 : 250 000 and 1 : 1 584000; final compilation was at a scale of 1 : 2 500 000. Regional snow—pack and climatic conditions were cross—correlated with relief zonation of each avalanche region to produce a map of Alaska's provisional snow—avalanche potential.Most of the mountainous areas in the South—central and South—east regions, because of their northern latitude, closeness to large masses of water, and large orographic and cylonic weather processes, are susceptible to major avalanche activity. For areas near population centers, the potential avalanche terrain has been identified from data on known and suspected avalanche activity through air photographs, terrain analysis, and documented snow—avalanche occurrences compiled at scales of 1 : 250 000 and 1 : 63 360.The state—wide regional data compilation and study are initial steps toward avalanche zoning in Alaska. Local land—use planning and detailed investigations are needed to establish effective natural—hazard zoning in municipal areas as related to snow avalanche activity.

scholarly journals Spatial Analysis of Coastline Change by Remote Sensing in the North Coast of Karawang Regency

2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Roberto Pasaribu ◽  
Firman Agus H. ◽  
Liliek Soeprijadi
Keyword(s):  
Shoreline Change ◽  
Rate Of Change ◽  
North Coast ◽  
Landsat 8 ◽  
Northern Coast ◽  
Shoreline Changes ◽  
The Road ◽  
Coastline Change ◽  
The North ◽  
Landsat 7

<p><em>The existence of the coast in the northern part of Karawang Regency is very worrying. Seawater<strong> </strong>that was far up to tens of meters from the side of the road, is now on the lip of the road, even some parts of the road are cut off due to abrasion of seawater. Some villages were affected by abrasion erosion. One of the effects of damage due to abrasion and sedimentation is the occurrence of shoreline changes. This change in coastline will affect people's lives and spatial planning for the development of the area. For this reason, this study aims to determine the extent and rate of shoreline changes that occurred on the coast of Karawang Regency in the periods of 1989, 1995, 2001, 2005, 2009, 2016, and 2018. The shoreline data was obtained from the extraction of Landsat 3 MSS, Landsat 5 TM, Landsat 7 ETM +, and Landsat 8 </em><em>OLI</em>-<em>TIRS after the NDWI process was previously carried out. While the rate of change is calculated at 6 sample point locations scattered along the northern coast of Karawang Regency. The results showed that the largest area damaged by abrasion occurred in Sedari Village covering an area of 166.802 hectares, and the area formed by the largest sedimentation occurred in Muara Cilamaya Village at 276,318 hectares. Meanwhile, the fastest rate of shoreline change due to abrasion occurred in Sukajaya Village at 10 meters </em>/<em>year, while the slowest in Sedari Village at 3.77 meters / year. The fastest sedimentation process in Muara Cimalaya Village is 4.5 meters / year, while the late one in Tanjung Pakis Village is 3.09 meters / year.</em><em></em></p><p><strong><em>Keywords: </em></strong><em>Abra</em><em>sion, Accretion, Coastline Changes, Karawang</em><em></em></p>

scholarly journals Developing of Total Suspended Sediment Model Using Landsat-8 Satellite Image and In-Situ Data at The Surabaya Coast, East Java, Indonesia

2017 ◽  
Vol 49 (1) ◽  
pp. 73 ◽  
Author(s):  
Teguh Hariyanto ◽  
Trismono C. Krisna ◽  
Khomsin Khomsin ◽  
Cherie Bhekti Pribadi ◽  
Nadjadji Anwar
Keyword(s):  
Water Quality ◽  
Suspended Sediment ◽  
Coastal Water ◽  
Satellite Image ◽  
Coastal Region ◽  
Sediment Concentration ◽  
Landsat 8 ◽  
Total Suspended Sediment ◽  
Coastal Water Quality

The decrease of coastal-water quality in the Surabaya coastal region can be recognized from the conceentration of Total Suspended Sediment(TSS ) . As a result we need a system for monitoring sediment concentration in the coastal region of Surabaya which regularly measures TSS. The principle to model and monitor TSSconcentration using remote sensing methods is by the integration of Landsat-8OLI satellites image processing using some ofTSS-models then those are analyzed for looking its suitability with TSS value direcly measured in the field ( in-situ measurement). The TSS value modeled from all algorithms validated usingcorrelation analysis and linear regression . The result shows that TSS model with the highest correlation value is TSS algorithm by Budiman (2004)with r value 0.991. Hence this algorithm can be used to investigate TSS-distribution which represent the coastal water quality of Surabaya with TSS value between 75 mg/L to 125 mg/L.

scholarly journals Studi Laju Perubahan Garis Pantai di Pesisir Tenggara Bali Menggunakan Citra Satelit Landsat (Studi Kasus Kabupaten Gianyar dan Klungkung)

2017 ◽  
Vol 3 (2) ◽  
pp. 204
Author(s):  
I Nengah Jaya Nugraha ◽  
I Wayan Gede Astawa Karang ◽  
I Gusti Bagus Sila Dharma
Keyword(s):  
Landsat Imagery ◽  
Shoreline Change ◽  
Rate Of Change ◽  
Landsat 8 ◽  
Band Ratio ◽  
Preliminary Information ◽  
Landsat 7 ◽  
Combination Of Methods ◽  
Analysis System ◽  
The Impact

Erosion and abrasion are the events that led to the beach shoreline position changes. The impact of climate change is the rise in sea level also causes changes in the coastline. South East coast of Bali, especially along the coast Gianyar and Klungkung changing coastline. This study aims to identify and calculate the rate of shoreline change in Gianyar and Klungkung from 1995 to 2015. The study was a preliminary information shoreline change and do not analyze the causes such as tides, currents, waves, and wind. The method used remote sensing analysis with the extraction of the coastline from the Landsat 5 satellite images in 1995, Landsat 7 in 2005, and Landsat 8 2015. Landsat imagery analyzed by a combination of methods approach the threshold and band ratio of wave infrared and green. Image processing using software Quantum GIS 2.8 and System for Automated Geoscientific Analyses (SAGA) GIS 2.2, extention Digintal Shoreline Analysis System (DSAS) to make calculations transect coastline. The results of the analysis of overlaying identify coastline in Gianyar and Klungkung change at a rate that varies every village. The rate of change of coastline in Gianyar due to accretion between 0.5096 - 8.6074 m / yr, while due to erosion between -3.7343 to -1.3201 m / yr. The rate of change in Klungkung regency coastline due to accretion between 0.6337 - 2.6875 m / yr, while due to erosion between -8.8795 to -0.8833 m / yr.

Barriers to the implementation of climate change adaptation in land use planning

2016 ◽  
Vol 8 (3) ◽  
pp. 338-355 ◽  
Author(s):  
Sirkku Juhola
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Land Use Planning ◽  
Local Level ◽  
Adaptation Strategy ◽  
Metropolitan Region ◽  
Policy Document ◽  
Content Type ◽  
Vulnerability To Climate Change ◽  
Multiple Levels

Purpose In the past 10 years, most countries and cities have published a national adaptation strategy that outlines the strategic approach to reduce the vulnerability to climate change and to adapt to the impacts of it. The existence of an adaptation strategy does not, however, equal implementation of adaptation and the fact that adaptation is taking place across multiple levels also poses new challenges to its efficient implementation. The literature on barriers of adaptation has been increasing rapidly, questioning whether there is a misconception that barriers to implementation can be solved at the local level. Design/methodology/approach This paper analyses the implementation of adaptation strategies across multiple levels of governance by focusing on the land use planning in Finland. The case study examines the implementation of adaptation in the metropolitan region of Helsinki through a policy document analysis. Findings The conclusions highlight that there are barriers at the local level that emerge from the existing governance structures and cannot be solved by the local level alone. There needs to be a further recognition that coordination across levels of governance is a factor in overcoming barriers. Originality/value So far, there are very few studies that have analysed barriers in relation to the implementation of adaptation in a multi-level setting, and none in the land use sector, which is inherently hierarchical in nature.

scholarly journals Identifying Institutional Barriers and Enablers for Sustainable Urban Planning from a Municipal Perspective

2021 ◽  
Vol 13 (20) ◽  
pp. 11231
Author(s):  
Camilo A. Ramírez Rincón ◽  
João Santos ◽  
Leentje Volker ◽  
Robert Rouwenhorst
Keyword(s):  
Land Use Planning ◽  
Urban Areas ◽  
Local Level ◽  
Urban Environments ◽  
Institutional Barriers ◽  
Barriers And Enablers ◽  
Urban Level ◽  
Development Approach ◽  
Motivation Model ◽  
National Governments

Steering towards a path of sustainability and resilience in urban environments depends greatly on effective institutions, governance and strategic planning. National governments are increasingly expanding municipal institutions’ mandates by delegating decision making on land-use planning and urban development to local and regional levels. This trend poses municipalities with a complex challenge of setting clear sustainability targets and lifting the institutional barriers inside and outside of their organisation. Based on the business motivation model (BMM), this study presents the results of a thematic analysis identifying barriers and enablers characterizing the institutional capacity base of a municipal organisation in the context of sustainability at an urban level. The results show that the most relevant barrier is the lack of standardisation in sustainability-related working practices, whereas the main institutional enablers relate to flexible working directives that promote the development of innovative projects. This points towards a strong need for a more integrated, dynamic and powerful development approach for sustainable urban areas on a local level.

scholarly journals Spatial-temporal of fire foci in the state of Rio de Janeiro, Brazil

2020 ◽  
Vol 36 (3) ◽  
Author(s):  
Givanildo de Gois ◽  
Welington Kiffer de Freitas ◽  
José Francisco de Oliveira Júnior
Keyword(s):  
Rio De Janeiro ◽  
Coastal Region ◽  
The State ◽  
Time Variability ◽  
Software Environment ◽  
Multivariate Statistical ◽  
Homogeneous Groups ◽  
Mountain Ranges ◽  
The North ◽  
South Central

This study evaluated the space-time variability of fire foci via environmental satellites for the State of Rio de Janeiro (SRJ) based on statistical procedures. The fire foci in the period of 2000 to 2015 were obtained from the BDQueimadas fire database. Descriptive, exploratory, and multivariate statistical analyses were performed in the software environment R i386 version 3.2.5. The north region had 6760 foci (21.11%), the south-central region had 3020 foci (9.43%), the Middle Paraíba had 6,352 foci (19.84%), the Metropolitan areas had 6671 foci (20.83%), and the Green Coast region had 292 foci (0.91%). The cluster analysis identified three homogeneous groups of fire foci (G1, G2, and G3) but did not include the municipality of Campos dos Goytacazes (NA). The G1 group (6.21 ± 0.01 foci, 57.61%) included areas throughout the state and covered the coastal region and lowlands towards the north. The G2 group (6.21 ± 0.01 foci, 34.81%) included the northern, south-central, and coastal shallows regions. The G3 group (6.21 ± 0.01 foci, 9.78%) included the mountain ranges of the state. Environmental characteristics and socioeconomic are crucial in the dynamics of fire foci in Rio de Janeiro.

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