@techreport{oai:kanazawa-u.repo.nii.ac.jp:00035154,
 month = {Jan},
 note = {International Geoscience and Remote Sensing Symposium (IGARSS) 6, art. no. 1525882, pp. 4351-4354, The incidence of Japanese oak wilt (JOW) has been increasing in Japan since late 1980s. The JOW is caused by the ambrosia fungus Raffaelea quercivorus vectored by an ambrosia beetle Platypus quercivorus. Detection of trees killed by JOW is important to prevent new incidence of JOW but difficult because most of JOW mortality occurs in mountainous area. Remote sensing with high spatial resolution imageries taken by IKONOS® or Quickbird® can be laborsaving technology to identify individual trees killed by JOW over wide areas. A purpose of this study is to develop a laborsaving image processing technique to identify individual tree crowns. The orthophoto imagery was transformed both to HSI (Hue, Saturation, and Intensity) and NDVI (Normalized Difference Vegetation Index) datasets. Individual dead tree crowns killed by JOW were identified by cluster analysis using datasets of H, S, and NDVI. © 2005 IEEE., Project Number 14404021, Peport of Research Project ; Grant-in-Aid for Scientific Research(B)(2), from April 2002 to March 2006, Edited by Muramoto,Ken-ichiro, Kamata, Naoto, Kawanishi, Takuya, Kubo, Mamoru, Liu, Jiyuan, Lee, Kyu-Sung , 人工衛星データ活用のための東アジアの植生調査、課題番号14404021, 平成14年度～平成17年度科学研究費補助金, 基盤研究（B)(2)研究成果報告書, 研究代表者：村本, 健一郎, 金沢大学自然科学研究科教授, 石川国立工業高等専門学校, 金沢大学大学院自然科学研究科},
 title = {Identification of dead tree of Japanese oak wilt (JOW) using high spatial resolution satellite imagery},
 year = {2005}
}