Mangrove Mapping of Ratnagiri Coast using Different Classification Techniques
Mangrove Mapping of Ratnagiri Coast using Different Classification Techniques
Date
2013
Authors
Nakhawa, Ajay D.
Markad, Sandip S.
Vichare, Priyanka S.
Shirdhankar, Mangesh
Journal Title
Journal ISSN
Volume Title
Publisher
Society of Fisheries Technologists (India)Cochin
Abstract
Mangrove coverage of Ratnagiri coast was mapped
by using different techniques such as supervised
classification, supervised classification of principal
components, unsupervised classification and unsupervised
classification of principal components and
overall classification accuracy ranged from 79.46-
86.19, 82-89, 84.52-89 and 89-93% respectively. The
kappa co-efficient for supervised classification,
supervised classification of principal components,
unsupervised classification and unsupervised classification
of principal components were 0.74-0.82,
0.78-0.86, 0.81-0.87 and 0.87-0.90 respectively. Overall
classification accuracy achieved by unsupervised
classification of principal components technique
was comparatively better than overall classification
accuracy achieved by other techniques. Thus this
technique is found appropriate for mapping the
mangrove coverage in the Ratnagiri block.
Description
Keywords
Mangrove, supervised classification, unsupervised classification, PCA
Citation
Fishery Tech 50(1):21-26