Arid
ESTIMATION OF TREE DENSITY IN THE PISTACHIO (PISTACIA VERA) FOREST OF NORTH-EAST IRAN BY ALOS DATA
Fadaei, H.1; Sakai, T.1; Yoshimura, T.2; Kazuyuki, M.1
通讯作者Fadaei, H.
会议名称8th Symposium on Networking the World with Remote Sensing of ISPRS-Technical-Commission
会议日期AUG 09-12, 2010
会议地点Kyoto, JAPAN
英文摘要

The pistachio (Pistacia.vera) belongs to the Anacardiaceae family. Plants of this family are trees or shrubs (broadleaf) and in total comprising 75 genera and 600 species. This species is found in arid and semi-arid regions, located in the northeast of Iran. Many algorithms have been investigated for tree delineation and identification, in order to assist human operators in the information exploitation of data. Objects of and questions posed by this study are; identification and delineation of the pistachio's tree crown, distinguishing between pistachio trees and other vegetation cover, estimation of tree density by counting trees per hectare, estimation of vegetation indices and the analyses of image segmentation, classification, texture and comparison with numbers of pistachio trees based on ground control data. ALOS satellite data have been used, using multispectral band (AVNIR-2) with 10-meter resolution and Panchromatic band (PRISM) with 2.5-meter resolution. In this paper, the relationship between the true number of trees (tree numbers measured on the ground) in the sub sample plots and introduced methods for tree population measurement has been investigated (considering factors such as tree crown area, shadow area, image classification and image segmentation from panchromatic (PRISM) image for pistachio forests). A sample plot area of about 1600 ha was selected incorporating 15-sub sample plots of 9 ha (300 x300m) equal to 120 x 120 pixels for this research. A maximum filtering algorithm of 5 x 5 pixels size is used for vegetation indices in the pistachio forest. The results of this paper indicated that NDVI, OSAVI, SAVI (0.5), SAVI (1) and new index TRVI with 585 maximum filtering was (R-2=0.5863, 0.5857, 0.4923, 0.6346 and 0.6414) respectively. The results of tree counting analyses will be showed.


英文关键词Tree density Cupressus sempervirence high-resolution aerial Photograph
来源出版物NETWORKING THE WORLD WITH REMOTE SENSING
ISSN2194-9034
出版年2010
卷号38
页码637-642
EISBN*****************
出版者COPERNICUS GESELLSCHAFT MBH
类型Proceedings Paper
语种英语
国家Japan
收录类别CPCI-S
WOS记录号WOS:000341930000136
WOS关键词DECIDUOUS FOREST ; IMAGERY
WOS类目Geosciences, Multidisciplinary ; Remote Sensing
WOS研究方向Geology ; Remote Sensing
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/298840
作者单位1.Kyoto Univ, Grad Sch Informat, Dept Social Informat, Kyoto 6068501, Japan;
2.Shimane Univ, Fac Life & Environm Sci, Educ & Res Ctr Biol Resources, Matsue, Shimane, Japan
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Fadaei, H.,Sakai, T.,Yoshimura, T.,et al. ESTIMATION OF TREE DENSITY IN THE PISTACHIO (PISTACIA VERA) FOREST OF NORTH-EAST IRAN BY ALOS DATA[C]:COPERNICUS GESELLSCHAFT MBH,2010:637-642.
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