TITLE:
Coastline Change Modelling Induced by Climate Change Using Geospatial Techniques in Togo (West Africa)
AUTHORS:
Yawo Konko, Appollonia Okhimambe, Pouwèréou Nimon, Jerry Asaana, Jean Paul Rudant, Kouami Kokou
KEYWORDS:
Coastal Erosion, Landsat Images, NDWI, Remote Sensing, Sentinel Images, Shoreline, SVM
JOURNAL NAME:
Advances in Remote Sensing,
Vol.9 No.2,
June
8,
2020
ABSTRACT: Climate change is a major concern of humanity. One
of the consequences of climate change is global warming causing melting
glaciers, rising sea levels and shoreline regression. In Togo, the regression
of shoreline leads to coastal erosion with significant damage on socio-economic
infrastructures and human habitats. This
research, basing on geospatial techniques, focuses on coastal erosion
monitoring from 1988 to 2018 in Togo. It is interested in the extraction of shoreline and in the analysis of change.
Various satellite images indexes have
been developed for shoreline extraction but the major scientific problem
concerns the precision of the different classification algorithms methods used
for the extraction of the shoreline from these water index. This study used
NDWI index from multisource satellite images. It assesses the performance of Otsu threshold segmentation, Iso Cluster
Unsupervised Classification and Support
Vector Machine (SVM) Supervised Classification methods for the extraction of the shoreline on NDWI index. The topographic morphology such as linear and non-linear coastal surfaces have
been considered. The estimation of the rates of change of the shoreline
was performed using the statistical linear regression method (LRR). The results
revealed that the SVM Supervised Classification
method showed good performance on linear and non-linear coastal surface
than the other methods. For the kinematics of the shoreline, the southwest of
the Togolese coast has an average erosion rate ranging from 2.49 to 5.07 m per
year. The results obtained will serve as decision-making support tools for the
design and implementation of appropriate adaptations plans to avoid the
immersion of the asphalt road by sea, displacement of population and
disturbance of human habitats.