Please use this identifier to cite or link to this item:
Title: New study on the variations of Landover type area using satellite data under management area near Caspian Sea
Authors: Hashemi, Seyed Armin
Keywords: Roodsar forests;Variation detection;Maximum like hood;Management area
Issue Date: Jan-2016
Publisher: NISCAIR-CSIR, India
Abstract: Present 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.
Page(s): 123-128
ISSN: 0975-1033 (Online); 0379-5136 (Print)
Appears in Collections:IJMS Vol.45(01) [January 2016]

Files in This Item:
File Description SizeFormat 
IJMS 45(1) 123-128.pdf333.21 kBAdobe PDFView/Open

Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.