DocumentCode
2712241
Title
Providing poplar plantation map by IRS satellite images in northern Iran
Author
Eslami, Alireza ; Zahedi, Shahriar Sobheh
Author_Institution
Dept. of Agric., Islamic Azad Univ., Rasht, Iran
fYear
2011
fDate
24-26 June 2011
Firstpage
1
Lastpage
4
Abstract
In order to Investigation some changes which are created above time in poplar cultivated surface preparing updated map of poplar is one of the most important requirements in the management and region agricultural planning. In this research, surveying of poplar plantation investigated using IRS Satellite images in the region including province of Guilan, Iran. The method evaluated to images controlled classification in order to separate spectrum reflex planting poplar lands from the other vegetation by supervises classification and Maximum likelihood method. The results indicate that in classification of images with spectrum reflex statistics, more than 90% of training points had again poplar class in the poplar plantation classified map.
Keywords
agriculture; geophysical image processing; image classification; vegetation mapping; Guilan; IRS satellite images; Northern Iran; agricultural planning; image classification; maximum likelihood method; poplar plantation; poplar plantation map; spectrum reflex statistics; supervised classification; training points; Accuracy; Geographic Information Systems; Global Positioning System; Land surface; Satellites; Training; Vegetation mapping; Iran; Map; Poplar; Spectrum reflex; Training points;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2011 19th International Conference on
Conference_Location
Shanghai
ISSN
2161-024X
Print_ISBN
978-1-61284-849-5
Type
conf
DOI
10.1109/GeoInformatics.2011.5981055
Filename
5981055
Link To Document