Mangrove Mapping of Ratnagiri Coast using Different Classification Techniques

Simple item page
dc.contributor.authorNakhawa, Ajay D.
dc.contributor.authorMarkad, Sandip S.
dc.contributor.authorVichare, Priyanka S.
dc.contributor.authorShirdhankar, Mangesh
dc.date.accessioned2021-10-20T06:58:48Z
dc.date.available2021-10-20T06:58:48Z
dc.date.issued2013
dc.description.abstractMangrove 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.en_US
dc.identifier.citationFishery Tech 50(1):21-26en_US
dc.identifier.urihttp://drs.cift.res.in/handle/123456789/5087
dc.language.isoenen_US
dc.publisherSociety of Fisheries Technologists (India)Cochinen_US
dc.subjectMangrove, supervised classification, unsupervised classification, PCAen_US
dc.titleMangrove Mapping of Ratnagiri Coast using Different Classification Techniquesen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Mangrove Mapping of Ratnagiri Coast using Different.pdf
Size:
316.13 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
FT Vol.50(1)