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Assessment of Shoreline Changes using Historical Satellite Images and Geospatial Analysis along the Lake Salda in Turkey
Earth Science Informatics ( IF 2.7 ) Pub Date : 2020-04-21 , DOI: 10.1007/s12145-020-00460-x
Mehmet Ali Dereli , Emre Tercan

This study was performed along the shorelines of Lake Salda in Turkey during the elapsed period from 1975 to 2019 in order to detect shoreline changes. Within this framework, geographic information system, digital shoreline analysis system, Modified Normalized Difference Water Index, and multi-temporal satellite images were utilized. The measurement of shoreline displacement was mainly divided into six analysis regions. In digital shoreline analysis system, several statistical parameters such as end point rate, linear regression rate, shoreline change envelope, and net shoreline movement were computed to measure the rates of shoreline displacement in terms of erosion and accretion. The maximum shoreline change between 1975 and 2019 was determined as 556.45 m by shoreline change envelope parameter. The maximum shoreline change was 16.35 m/year by end point rate parameter and 12.91 m/year by linear regression rate parameter. While erosion has been observed in 3rd, 4th and 6th segments, accretion has been observed in other segments. When all the transects were taken into consideration, an accretion observed. The results indicate that there is a decrease in area of the lake. Experiment results show that integrated use of multi-temporal satellite images and statistical parameters are very effective and useful for shoreline change analysis. It is thought that the structures such as irrigation pond and dam that are built on the streams that recharge the lake and average rainfall and average temperature conditions are the main reasons of the fluctuations and changes in the shorelines.

中文翻译:

使用历史卫星图像和沿土耳其萨尔达湖的地理空间分析评估海岸线变化

这项研究是在1975年至2019年这段时期内,沿着土耳其萨尔达湖的海岸线进行的,目的是检测海岸线的变化。在此框架内,利用了地理信息系统,数字海岸线分析系统,改进的归一化差异水指数和多时相卫星图像。海岸线位移的测量主要分为六个分析区域。在数字海岸线分析系统中,计算了一些统计参数,例如终点速率,线性回归速率,海岸线变化包络线和净海岸线运动,以测量侵蚀和积聚方面的海岸线位移速率。1975年至2019年之间的最大海岸线变化由海岸线变化包络参数确定为556.45 m。最大海岸线变化为16。终点速率参数为35 m / year,线性回归速率参数为12.91 m / year。虽然在第三,第四和第六节中观察到侵蚀,但在其他节段中观察到积聚。当考虑所有样条时,观察到积垢。结果表明湖的面积减少了。实验结果表明,综合利用多时相卫星图像和统计参数对海岸线变化分析非常有效和有用。人们认为,在为湖水补给的溪流上建造的灌溉池塘和水坝等结构以及平均降雨量和平均温度条件是造成海岸线波动和变化的主要原因。虽然在第三,第四和第六节中观察到了侵蚀,但在其他节段中观察到了积垢。当所有的样条都考虑在内时,观察到积垢。结果表明湖的面积减少了。实验结果表明,综合利用多时相卫星图像和统计参数对海岸线变化分析非常有效和有用。人们认为,在为湖水补给的溪流上建造的灌溉池塘和水坝等结构以及平均降雨量和平均温度条件是海岸线波动和变化的主要原因。虽然在第三,第四和第六节中观察到了侵蚀,但在其他节段中观察到了积垢。当所有的样条都考虑在内时,观察到积垢。结果表明湖的面积减少了。实验结果表明,综合利用多时相卫星图像和统计参数对海岸线变化分析非常有效和有用。人们认为,在为湖水补给的溪流上建造的灌溉池塘和水坝等结构以及平均降雨量和平均温度条件是造成海岸线波动和变化的主要原因。结果表明,湖泊面积减少了。实验结果表明,综合利用多时相卫星图像和统计参数对海岸线变化分析非常有效和有用。人们认为,在为湖水补给的溪流上建造的灌溉池塘和水坝等结构以及平均降雨量和平均温度条件是海岸线波动和变化的主要原因。结果表明湖的面积减少了。实验结果表明,综合利用多时相卫星图像和统计参数对海岸线变化分析非常有效和有用。人们认为,在为湖水补给的溪流上建造的灌溉池塘和水坝等结构以及平均降雨量和平均温度条件是造成海岸线波动和变化的主要原因。
更新日期:2020-04-21
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