Monitoring Spatial and Temporal Scales of Shoreline Changes in Lahou-Kpanda (Southern Ivory Coast) Using Landsat Data Series (TM, ETM+ and OLI)

Zonkouan, Badjo Ruth Virginia; Bachri, Imane; Beda, Abaze Henri Joel; N'Guessan, Kpangba Aristide Meniansou

doi:10.7494/geom.2022.16.1.145

Cited by 7 publications

(5 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The digitization work was carried out on a GIS environment, from which statistical calculations of the rate of evolution of the coastline are carried out using the DSAS 5.1 extension. Indeed, DSAS is an extension developed by the USGS (United States Geological Survey) available free of charge that allows you to make calculations on the deviations of the coastlines already digitized from the selected images (Zonkouan et al, 2022).…”

Section: Mean Significant Wave Height (M)mentioning

confidence: 99%

Geomatics Assessment of Coastal Erosion Vulnerability: A Case Study of Agadir Bay, Morocco

FAJRI,

BEROHO,

LAMHADRI

et al. 2024

AgricultForest

View full text Add to dashboard Cite

Coastal zones are characterized by a complex interaction between continental and marine ecosystems. They are often subject to anthropogenic and natural pressures such as urbanization, pollution, erosion, storms, and the impact of climate change. It is an environment that requires sustainable management to preserve its biodiversity and ecosystem services. This study focuses on assessing coastal vulnerability to erosion in the Bay of Agadir, one of Morocco's main tourist attractions. The methodology adopted is based on geomatic science such as GIS and geospatial remote sensing. This approach involved the preparation of a database for the study area, relating mainly to geomorphological parameters, topography, sea level rise, and shoreline change data. The latter was assessed using DSAS (Digital Shoreline Analysis System) tools and then all data were integrated into a GIS software to evaluate the Coastal Vulnerability Index (CVI). The first result shows that the EPR (endpoint rate) index reveals an erosion trend over the 8.3 km studied area. Over the 262 transects analyzed, the variations show a predominant erosion (92%) with rates of up to -13.5 m/year over 46 years. This justifies the use of the LRR (Linear Regression Rate-of-Change) index rather than the EPR for kinematic analysis of the coastline. The results of the CVI index show that 2.58 km of the coastal zone, and 1.68 km of the Bay are successively highly and very highly vulnerable to coastal erosion (20-60%). This study can be considered as a basic document, providing crucial information to guide decision-makers and planners in the implementation of effective coastal conservation strategies.

show abstract

Section: Mean Significant Wave Height (M)mentioning

confidence: 99%

Geomatics Assessment of Coastal Erosion Vulnerability: A Case Study of Agadir Bay, Morocco

FAJRI,

BEROHO,

LAMHADRI

et al. 2024

AgricultForest

View full text Add to dashboard Cite

show abstract

“…In addition, Biak Numfor Regency is a coastal city, so city development is more concentrated in coastal areas. The implication of increased development and human activity in coastal areas will increase the vulnerability of coastal areas to coastal disasters (Zonkouan et al, 2022). It should be remembered that regardless of the form of land cover in coastal areas, with low elevation it will provide opportunities or impact seawater inundation [Hamuna et al, 2018].…”

Section: Spatial Distribution Of Coastal Vulnerability Indexmentioning

confidence: 99%

Spatial Analysis of Coastal Vulnerability Index to Sea Level Rise in Biak Numfor Regency (Indonesia)

Rumahorbo¹,

Warpur²,

Tanjung³

et al. 2023

J. Ecol. Eng.

View full text Add to dashboard Cite

Assessing the vulnerability of coastal areas is important in evaluating impact of sea level rise due to global climate change. This study aimed to spatially analyze and map the vulnerability level of the Biak Numfor Regency's coastal area on Biak Island to the threat of sea level rise. The study area is limited to 500 m from the coastline and is divided into 383 grid cells. The Coastal Vulnerability Index (CVI) method was used to map the level of vulnerability of coastal areas based on four coastal geological variables (coastal elevation, coastal slope, geomorphology, and shoreline change) and three ocean physical process variables (tidal range, average significant wave height, and relative sea level rise). The results showed that the coastal areas of Biak Numfor Regency, belonging to the low, medium and high-risk vulnerability categories, were 77,685.63 km (32.18%), 159,084.38 km (65.74%), and 5,024.96 km (2.08%), respectively. The variables that contribute significantly to the level of vulnerability are coastal elevation, coastal slope, coastal geomorphology, and shoreline changes due to abrasion compared to tidal range, significant wave heights, and sea level rise rates. Vulnerability studies of other variables that can contribute to the vulnerability of coastal areas are needed, such as socio-economic variables and the impact of human activities on changes in the coastal environment, to obtain a comprehensive CVI value in supporting coastal mitigation planning efforts against sea level rise disasters so that they are more focused.

show abstract

“…Open Earth Observation (EO) satellite data plays an important role in predicting environmental variables and tracking changes on the Earth's surface at different scales of investigation. While low-resolution data is mainly used for global monitoring, medium-resolution Landsat and Sentinel-2 images (with geometric resolutions of 30 and 10 m, respectively) are adequate for regional and city scale research [1,4,10,16,[19][20][21]. Because assessing the consequences of climate change necessitates the data spanning of a long time period, the multidecadal data that is provided by the Landsat mission (which has been in operation since 1972) is usually chosen over Sentinel-2 data (which has only been available since 2015) [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Extracting Land Surface Albedo from Landsat 9 Data in GEE Platform to Support Climate Change Analysis

Barletta,

Capolupo,

Tarantino

2023

GaEE

View full text Add to dashboard Cite

Land surface albedo is a relevant variable in many climatic, environmental, and hydrological studies; its monitoring allows researchers to identify changes on the Earth’s surface. The open satellite data that is provided by the USGS/NASA Landsat mission is quite suitable for estimating this parameter through the remote sensing technique. The purpose of this paper is to evaluate the potentialities of the new Landsat 9 data for retrieving Earth’s albedo by applying da Silva et al.’s algorithm (developed in 2016 for the Landsat 8 data) using the Google Earth Engine cloud platform and R software. Two urban areas in Southern Italy with similar geomorphologic and climatic characteristics were chosen as study sites. After obtaining thematic maps of the albedos here, a statistical analysis and comparison among the Landsat 8 and Landsat 9 results was performed considering the entire study areas and each land use/land cover class that is provided by the Copernicus Urban Atlas 2018. This approach was also applied to the data after being filtered through Tukey’s test (used to detect and remove outliers). The analysis showed a very good correlation between the Landsat 8 and Landsat 9 estimations (ρ > 0.94 for both sites), with some exceptions that were related to some mis-corresponding values. Furthermore, the Landsat 8 and Landsat 9 outliers were generally overlapping. In conclusion, da Silva et al.’s approach appears to also be reasonably applicable to the Landsat 9 data despite some radiometric differences.

show abstract

Monitoring Spatial and Temporal Scales of Shoreline Changes in Lahou-Kpanda (Southern Ivory Coast) Using Landsat Data Series (TM, ETM+ and OLI)

Cited by 7 publications

References 23 publications

Geomatics Assessment of Coastal Erosion Vulnerability: A Case Study of Agadir Bay, Morocco

Geomatics Assessment of Coastal Erosion Vulnerability: A Case Study of Agadir Bay, Morocco

Spatial Analysis of Coastal Vulnerability Index to Sea Level Rise in Biak Numfor Regency (Indonesia)

Extracting Land Surface Albedo from Landsat 9 Data in GEE Platform to Support Climate Change Analysis

Contact Info

Product

Resources

About