Shoreline Change Rate Detеction and Futurе Prediction Using Rеmote Sensing and GIS Tеchniques: A Case Study of Ras EL-Hekma, North Western Coast, Egypt
Journal Title: Journal of Geography, Environment and Earth Science International - Year 2017, Vol 9, Issue 3
Abstract
Shoreline mapping and change rate along the Ras El-Hekma, north west of Egypt has been analyzed. Thresholding band ratio method, in which a thresholding value is selected either by man-machine interaction or by a local adaptive strategy, has been used to extract shorelinе. Digital Shoreline Analysis Systеm (DSAS) used to detect Change ratе of shorelines by EPR (end point rate model). Also future shoreline positions based on precedent shorelines has been predicted and has been corrected. Rates and trends Information of shoreline change can give recommendation to the decision makers to decide the best coastal area to be invested and also can be used to improve understanding of underlying causes and potential effects of coastal erosion/ accretion which can support informed coastal management. Multi-temporal satellite images acquired from (USGS) U.S. Geological Survey in 1973, 1987, 1995,2003 and 2015 along time period 42 years. These images were used to detect the shorelineposition, predict the future shoreline, and to estimate change rate. The results show that the eastern side of study area tends to erosion all the time period. The western area has about 40- 70% erosion and 30-60% accretion depend on date. Overall 42 years the maximum accretion rate is 12 m/year and erosion rate is -9.65m/year. The average rates are defined from -0.8 to -4.25 for erosion and 0.05 to 1.60 for accretion definitely not high. The predicted shoreline was compared with the actual shoreline detected from high resolution satellite imagery of 2015. The positional shift at each sample point is observed. The positional error varies from -49.8 m to 76.3 m. The Rote Mean Square Error (RMSE) for the future predicted shoreline2015 was found to be 15.75 m. also 2020and 2050 shorelines has been predicted and corrected.
Authors and Affiliations
M. E. Basiouny, S. B. El Kafrawy, E. A. Ghanem, A. S. Taha
Keywords
Related Articles
- EP ID EP321500
- DOI 10.9734/JGEESI/2017/32086
- Views 111
- Downloads 0
Water Quality Analysis for Springs in Bvumba Catchment Area, Manicaland Province, Zimbabwe
This study sought to analyse the water quality of selected springs in Bvumba, Manicaland Province, Zimbabwe. The water quality parameters analysed in the study were pH, Total Dissolved Solids (TDS), Calcium, Magnesium an...
The Socioeconomic/Demographic Determinants of Public Perception about Climate Change in Ekiti State of Nigeria
Perception influences the manner people address the risks and opportunities associated with climate change and this in turn influences the manner people respond to the impact(s). Based on questionnaire data collected fro...
Overburden Thickness and Potential Tonnage Estimate of Olode-Gbayo Pegmatite Deposit, Southwestern Nigeria, Using Electrical Resistivity Method
Prominent locations in the Nigerian basement complex are known to harbor precious rocks and gemstones, in addition to the basement rocks being quarried for engineering construction. However, reserve estimates of these ro...
Variability of Total Latent Heating Rate over Three Climatic Zones in West Africa
A study of variability of latent heating rate over West Africa has been done. Results were divided into three categories: mean latent heating rate profiles, monthly time series of mean latent heating rate at four differe...
Contribution of Tanzania Southern Highlands Forest Diversity to Household Income and Food Supplements: The Case of Mufindi District in Tanzania
Aims: Understanding the role played by forest diversity to supply non-timber forest products for income and food supplements of households is important in forest management and human life. This study was conducted to inv...