Monitoring of shoreline changes using remote sensing (case study: coastal city of Bandar Abbas)

7th IGRSM International Remote Sensing & GIS Conference and Exhibition

地球科学;计算机科学

Tamassoki, E.^1 ; Amiri, H.^1 ; Soleymani, Z.^1

Hormozgan University, Bandar Abbas, Iran^1

关键词: Classification methods;    Coastal area;    Coastal cities;    LANDSAT TM;    Natural process;    Shoreline change;    Total length;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/20/1/012023/pdf
DOI  :  10.1088/1755-1315/20/1/012023

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Shoreline change is one of the most common natural processes that prevail upon coastal areas. The most important aspect of managing coastal areas is identifying the location and change over time of shoreline. This requires frequent monitoring of the shoreline using satellite imagery over time. We have used imagery from the Landsat TM-5 sensor from 1984,1998 and 2009 in order to monitor shoreline changes using the Max Likelihood Classification method (MLC) in Bandar Abbas city. Monitoring showed that during the period from 1984 to 1998 the area of coastline of Bandar Abbas increased 804.09 hectares. The increase over the next 11-year period was as less, at only 140.81 hectares. In 2009 there was a drastic decrease in shoreline, with the total length of shoreline decreasing from 330 km to 271 km during the period from 1984 to 2009.Results showed that in each period in which the area of coastline advanced, changes in length of shoreline had been less prominent.