Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/34875
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dc.contributor.authorHashemi, Seyed Armin-
dc.date.accessioned2016-07-21T05:48:15Z-
dc.date.available2016-07-21T05:48:15Z-
dc.date.issued2016-01-
dc.identifier.issn0975-1033 (Online); 0379-5136 (Print)-
dc.identifier.urihttp://nopr.niscair.res.in/jspui/handle/123456789/34875-
dc.description123-128en_US
dc.description.abstractPresent study is to prepare the forest vegetation map using remote sensing techniques and the images of ETM+ sensor of 2000 and LandSat and related to 2013. Results of numeral classification of picture of studied area to develop the land use map using maximum like hood classifier by contributing various bands set indicated that in the best case, general accuracy of image classification in the images of 2000 and 2013 was 0.95 and 0.85, respectively and kappa statistics was 0.86 and 0.84 , respectively. Further, study results indicated that forest vegetation reduction rate was 635.319 hectares.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.45(01) [January 2016]en_US
dc.subjectRoodsar forestsen_US
dc.subjectVariation detectionen_US
dc.subjectMaximum like hooden_US
dc.subjectManagement areaen_US
dc.titleNew study on the variations of Landover type area using satellite data under management area near Caspian Seaen_US
dc.typeArticleen_US
Appears in Collections:IJMS Vol.45(01) [January 2016]

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