Papers on Environmental Information Science
Vol.28 (The 28th Conference on Environmental Information Science)
Conference information

Evaluation the Possibility of ALOS Data for Detecting Insect Damaged Area
Hiroshi TANIRei SONOBEXiufeng WANG
Author information
CONFERENCE PROCEEDINGS FREE ACCESS

Pages 293-296

Details
Abstract
The ambrosia beetle, Platypus quercivorus, is a vector of Japanese oak wilt, which causes massive mortality of oak trees in Japan. Some mid-resolution multispectral images such as ALOS/AVNIR-2 true color images can be used to help detect areas of oak wilt, although such detection by inventory surveys is not realistic. Furthermore, high resolution images may be more useful for this purpose. Applying pan-sharpening techniques, a higher spatial resolution multispectral image can be generated from lower-resolution multispectral images and higher-resolution panchromatic images. In this study, pan-sharpened image was generated using the Brovey transformation and evaluated for the detection of damage points. The detection rate of the pan-sharpened image was 1.36 times higher than that of the 62.5 m multispectral image.
Content from these authors
© 2014 Center for Environmental Information Science
Previous article Next article
feedback
Top