Application of satellite imagery to identify vegetation types - a case study on coconut

dc.contributor.authorUtpala Parthasarathy
dc.contributor.authorKumaran, P.M.
dc.contributor.authorDas, M.M.
dc.date.accessioned2014-05-24T06:27:25Z
dc.date.available2014-05-24T06:27:25Z
dc.date.issued2004-12
dc.description.abstractRemote sensing data stored in digital tapes of images can be interpreted by employing computers which can process spectral reflectance properties of objects, every pixel, using fundamental statistical pattern recognition technique. In the present study Satellite imagery of the Kasaragod district of Kerala amid Kamrup district of Assam were used to study coconut area. A cropping pattern map has been drawn for coconut and other important crops of the districts. It is noticed that in case or Kasaragod, which has a vast coconut cultivation it is very easy to identify it in the imagery, but in the case of Kamrup where the cultivation is only in homestead, the identification is not easy in 1:50,000 scale. A data with higher resolution can solve the problem.en_US
dc.identifier.citationJournal of Plantation Crops 32(Suppl.) December 2004: 229-231en_US
dc.identifier.urihttp://hdl.handle.net/123456789/1704
dc.language.isoenen_US
dc.publisherJPCen_US
dc.subjectRemote sensing dataen_US
dc.subjectdigital tapes of imagesen_US
dc.subjectcoconut cultivation cropping pattern mapen_US
dc.titleApplication of satellite imagery to identify vegetation types - a case study on coconuten_US
dc.typeArticleen_US

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