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Prediction of the flooding area of the northeastern Caspian Sea from satellite images

Geodesy and Geodynamics 2023年第2期14卷 191-200页

作者： anzhelika t.kamza Irina A.Kuznetsova Eugene L.Levin Satbayev University Almaty 050013Kazakhstan Limited partnership"International Educational Corporation" Almaty 050043Kazakhstan School of Applied Computational Sciences Meharry Medical CollegeTennessee 37208USA

Studying the dynamic changes in the coastline of the northeastern Caspian Sea is significant since the level of the Caspian is unstable,and the coastline change can cause enormous damage to the ecology,economy,and population of the coastal part of *** this work,we use remote sensing and Geographic Information System(GIS)technologies to study the changes in the coastline of the northeastern Caspian Sea and predict the extent of flooding with increasing water *** proposed methodology for creating dynamic maps can be used to monitor the coastline and forecast the extent of flooding in the *** a result of this work,the main factors affecting changes in the coastline were *** analyzing the water level data from 1988 to 2019,it was revealed that the rise in water level was observed from 1980 to *** maximum sea level rise was recorded at-26.04 *** that,the sea level began to fall,and between 1996 and 2009,there were no significant changes;the water level fluctuated with an average of-27.18 ***,a map of the water level dynamics in the Caspian Sea from 1988 to 2019 was *** to the dynamics map,water level rise and significant coastal retreat were revealed,especially in the northern part of the Caspian Sea and the northern and southern parts of Sora *** method for predicting the estimated flooding area was *** a result,based on a single map,the flooding area of the northeast coast was predicted.A comparative analysis of Landsat and SRtM data is presented.

关键词： Caspian Sea Seabed Earth remote sensing GIS Landsat Prediction of the flooding area Ecology of coastline SRtM

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