Knowledge Resource Center for Ecological Environment in Arid Area
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 |
ISSN | 2194-9034 |
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 |
推荐引用方式 GB/T 7714 | 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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