Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/35018
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dc.contributor.authorMageswaran, T.-
dc.contributor.authorSachithanandam, V.-
dc.contributor.authorSridhar, R-
dc.contributor.authorThirunavukarasu, E-
dc.contributor.authorRamesh, R.-
dc.date.accessioned2016-07-21T11:17:54Z-
dc.date.available2016-07-21T11:17:54Z-
dc.date.issued2015-11-
dc.identifier.issn0975-1033 (Online); 0379-5136 (Print)-
dc.identifier.urihttp://nopr.niscair.res.in/jspui/handle/123456789/35018-
dc.description1762-1768en_US
dc.description.abstractPresent study examines the dynamics of land use/ land cover changes to Neil Island, South Andaman using Remote Sensing and GIS for a period of 13 years. Geocoded satellite imageries of Landsat TM (2000) and Landsat ETM 8 (2013) were used to identify the changes between 2000 and 2013. Visual interpretation technique was carried out to identify the features from the satellite imagery along with ground truth verifications. Land use categories such as forest area, mangroves, coral reefs, sandy beach, water body and built-up land have been identified and mapped. The present status (2013) of these resources is as follows: forest area 735.17 ha (40.17%), built-up land covers 601.15 ha (32.85%), coral reef covers an area of 441.00 ha (24.10%), mangroves covers 34.03 ha (1.86%) and sandy beach covers 16.15 ha (0.88%). Forest area was the largest component of land use feature which shows a significant change from 2000 to 2013. Aerial extent of coral reef and mangroves was decreased to 9.21 ha and 2.32 ha respectively.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rightsCC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJMS Vol.44(11) [November 2015]en_US
dc.subjectLand use / Land coveren_US
dc.subjectChange detectionen_US
dc.subjectRemote Sensingen_US
dc.subjectGISen_US
dc.subjectNeil Islanden_US
dc.subjectSouth Andamanen_US
dc.titleMapping and monitoring of land use/land cover changes in Neil Island (South Andaman) using geospatial approachesen_US
dc.typeArticleen_US
Appears in Collections:IJMS Vol.44(11) [November 2015]

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