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Geospatial approach towards enumerative analysis of suspended sediment concentration for Ganges-Brahmaputra Bay

DRS at CSIR-National Institute of Oceanography

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Title Geospatial approach towards enumerative analysis of suspended sediment concentration for Ganges-Brahmaputra Bay
 
Creator Pandey, P.
Kunte, P.D.
 
Subject GEOLOGY AND GEOPHYSICS
CHEMISTRY AND BIOGEOCHEMISTRY
OCEANOGRAPHY AND LIMNOLOGY
GEOLOGY AND GEOPHYSICS
Oceanographic support services
 
Description This study presents an easy, modular, user-friendly, and flexible software package for processing of Landsat 7 ETM and Landsat 8 OLI-TIRS data for estimating suspended particulate matter concentrations in the coastal waters. This package includes 1) algorithm developed using freely downloadable SCILAB package, 2) ERDAS Models for iterative processing of Landsat images and 3) ArcMAP tool for plotting and map making. Utilizing SCILAB package, a module is written for geometric corrections, radiometric corrections and obtaining normalized water-leaving reflectance by incorporating Landsat 8 OLI-TIRS and Landsat 7 ETM+ data. Using ERDAS models, a sequence of modules are developed for iterative processing of Landsat images and estimating suspended particulate matter concentrations. Processed images are used for preparing suspended sediment concentration maps. The applicability of this software package is demonstrated by estimating and plotting seasonal suspended sediment concentration maps off the Bengal delta. The software is flexible enough to accommodate other remotely sensed data like Ocean Color monitor (OCM) data, Indian Remote Sensing data (IRS), MODIS data etc. by replacing a few parameters in the algorithm, for estimating suspended sediment concentration in coastal waters
 
Date 2016-08-19T12:18:50Z
2016-08-19T12:18:50Z
2016
 
Type Journal Article
 
Identifier Computers & Geosciences, vol.95; 2016; 32-58
http://drs.nio.org/drs/handle/2264/5005
 
Language en
 
Rights An edited version of this paper was published by Elsevier. Copyright [2016] Elsevier
 
Publisher Elsevier