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Assessment of shoreline changes along Karnataka coast, India using GIS & Remote sensing techniques

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Title Assessment of shoreline changes along Karnataka coast, India using GIS & Remote sensing techniques
 
Creator ChenthamilSelvan, S.
Kankara, R. S.
Rajan, B.
 
Subject Satellite images
Erosion and Accretion
Weighted Linear Regression Rate and End Point Rate
 
Description 1286-1291
Present
analysis revealed that about 70% of the coastline was either stable or
accreting in nature, whereas remaining 30% region was experiencing varying
magnitude of erosion. Change rate was classified in three categories indicating
the accretion, low erosion and high erosion locations. High rate of erosion was
observed all along the river mouth of northern side of northern Karnataka
Rivers i.e. Kalinadi, Haladi, Sharavati, Swarna etc. While the southern side of
the Kalinadi River is noticed with high accretion. Erosion and accretion
pattern observed along the coast is influenced mainly by the coastal process
and riverine inputs. Short term analysis was also carried out along the Karnataka
coast. In Karwar region, the south of Kalinadi River
shows accretion during the period of 1989-2000; whereas, the same area shows
erosion pattern during the period of 2000-2006. This may be due to variation in
coastal processes, land runoff and geomorphologic units influencing the coast.
About 168 km of coastline was found to be accreting in nature with an average
rate of 1.5 m/yr followed by 71km coastal stretch with mild erosion of an
average rate of 1.0 m/yr. It was also observed that the erosion was found in
isolated pockets throughout the coast. The variation in river mouth morphology
was quite significant. The present study demonstrates that combined use of
satellite imagery and statistical method such as weighted linear regression can
be a reliable method for shoreline change analysis.
 
Date 2016-06-27T04:02:20Z
2016-06-27T04:02:20Z
2014-07
 
Type Article
 
Identifier 0975-1033 (Online); 0379-5136 (Print)
http://hdl.handle.net/123456789/34441
 
Language en_US
 
Rights CC Attribution-Noncommercial-No Derivative Works 2.5 India
 
Publisher NISCAIR-CSIR, India
 
Source IJMS Vol.43(7) [July 2014]