Spatio-temporal Analysis of Shoreline Positional Change of Ondo State Coastline Using Remote Sensing and GIS: A Case Study of Ilaje Coastline at Ondo State in Nigeria

Shoreline changes have been a major environmental concern to coastal geomorphologists, engineers’ as well coastal ecologists as a result increased alteration in the ecological system of many coasts of the world. It is causing major coastal structure damage and requires harbour dredging. The current...

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Bibliographic Details
Published in:Earth systems and environment 2022, Vol.6 (1), p.281-293
Main Authors: Komolafe, Akinola Adesuji, Apalara, Paul Ayodeji, Ibitoye, Matthew Olomolatan, Adebola, Abiodun Olufemi, Olorunfemi, Idowu Ezekiel, Diallo, Ismaila
Format: Article
Language:English
Subjects:
Classification
Climate
Climate change
Climate Change/Climate Change Impacts
Coastal ecology
Coastal engineering
Coastal erosion
Coastal structures
Coasts
Deposition
Disasters
Earth and Environmental Science
Earth Sciences
Earth System Sciences
Ecological effects
Environmental perception
Environmental Science and Engineering
Erosion control
Floods
GDP
Geographic information systems
Geography
Geomorphology
Gross Domestic Product
Harbors
Impact analysis
Land cover
Land use
Landsat
Landsat satellites
Local government
Monitoring methods
Monitoring/Environmental Analysis
Original Article
Remote sensing
Satellite imagery
Sea level
Shoreline changes
Shoreline protection
Shorelines
Soil erosion
Statistical analysis
Statistical methods
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Summary:Shoreline changes have been a major environmental concern to coastal geomorphologists, engineers’ as well coastal ecologists as a result increased alteration in the ecological system of many coasts of the world. It is causing major coastal structure damage and requires harbour dredging. The current study aimed at integrating remote sensing, geographical information system, and statistical methods to monitor and quantify spatio-temporal shoreline dynamics along Ilaje Local Government, Ondo State, Nigeria over 31 years (1986–2017). Four multi-temporal and spectral Landsat satellite images were used to examine the shoreline changes for a long-term period (1986–2017), besides three short-term time intervals. Images were classified using supervised classification to map the land use land cover changes in the study area. Integrating the Digital Shoreline Analysis System version 4.3 tool within ArcGIS facilitated the quantification of shoreline changes via the End-Point Rate and Net Shoreline Movement statistical techniques. The study revealed a coastal length of about 80 km with both accretion and erosion processes actively shown along the coastline. About 40 km of the coastline was found to be accreting with an average of + 1.08 m/year followed by 35.4 km of coastal erosion with an average of − 1.40 m/year and 4.6 km of the coast more or less appears stable. The overall shoreline changes fall within high accretion (> + 1 to ≤  + 2) to high erosion (
ISSN:2509-9426
2509-9434
DOI:10.1007/s41748-021-00270-1