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
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;
Conference_Titel :
Geoinformatics, 2011 19th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-849-5
DOI :
10.1109/GeoInformatics.2011.5981055