Please use this identifier to cite or link to this item: http://117.252.14.250:8080/jspui/handle/123456789/6703
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dc.contributor.authorRamadevi, D.-
dc.contributor.authorMuralikrishnan, S.-
dc.contributor.authorArokiadas, R. J.-
dc.contributor.authorDutt, C. B. S.-
dc.contributor.authorKumar, S. Santosh-
dc.date.accessioned2022-03-08T20:24:16Z-
dc.date.available2022-03-08T20:24:16Z-
dc.date.issued1998-
dc.identifier.urihttp://117.252.14.250:8080/jspui/handle/123456789/6703-
dc.description.abstractChange detection through remote sensing is process for determining and evaluating differences in a variety of surface phenomena over time. Detecting, describing and understanding changes in the physical and biological process that regulate the earth system is of considerable interest for ecologists and resource managers today. Here we have used the intensity-Hue-Saturation Transformation to normalise the intensity of the two data sets, in order to bring the illumination levels identical and differenced to depict the changes.en_US
dc.language.isoenen_US
dc.publisherNational Institute of Hydrologyen_US
dc.subjectRemote Sensingen_US
dc.subjectGISen_US
dc.title7-Automated Change Detection Using Multidate Satellite Data for Forestry Applications.en_US
dc.typeTechnical Reporten_US
Appears in Collections:18-Jal Vigyan Sameeksha Vol.-13(1-2)-1998

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