Record Details

A MODIS-based estimation of chlorophyll a concentration using ANN model and in-situ measurements in the southern Caspian Sea

NOPR - NISCAIR Online Periodicals Repository

View Archive Info
 
 
Field Value
 
Title A MODIS-based estimation of chlorophyll a concentration using ANN model and in-situ measurements in the southern Caspian Sea
 
Creator Salman, Mahiny A.
Fendereski, F.
Hosseini, S. A.
Fazli, H.
 
Subject MODIS
Chlorophyll-a
ANNs
Southern Caspian Sea
 
Description 924-928
Chlorophyll-a data of the MODIS sensor with
in-situ chlorophyll measurements from the southern Caspian Sea (SCS) is
compared in the present study. Analysis showed an overestimation of
chlorophyll-a concentration by MODIS in the area. Results also indicated a root
mean square (RMS) log error of 39.4%, for 53 coincident data points. An
artificial neural network (ANN) with radial basis function was applied to the in-situ
measurements and satellite imagery. It included
physical-chemical properties of water as ancillary independent variables in the
ANN procedure that enhanced the predictive capability of the model. Evaluation
of the predictive capability of ANN approach was satisfying (RMS log error
18.9%). Results showed retrieving chlorophyll-a concentration in the SCS from
satellite is possible and will be improved through application of ANN and
explanatory environmental parameters.
 
Date 2013-12-13T12:52:12Z
2013-12-13T12:52:12Z
2013-11
 
Type Article
 
Identifier 0975-1033 (Online); 0379-5136 (Print)
http://hdl.handle.net/123456789/24818
 
Language en_US
 
Rights CC Attribution-Noncommercial-No Derivative Works 2.5 India
 
Publisher NISCAIR-CSIR, India
 
Source IJMS Vol.42(7) [November 2013]