DocumentCode
3302839
Title
Identification of trees in the shade of houses in residential areas using airborne multi-spectral images
Author
Oshio, Haruki ; He, Jiang ; Hoyano, Akira
Author_Institution
Interdiscipl. Grad. Sch. of Sci. & Eng., Tokyo Inst. of Technol., Tokyo, Japan
fYear
2010
fDate
25-30 July 2010
Firstpage
3913
Lastpage
3916
Abstract
The purpose of this study is to identify vegetation covers shaded by buildings and other structures in detached housing areas in the land cover classification using airborne MSS data. This paper presents a method to identify evergreen trees in the shade using remotely sensed data of surface temperature observed in summer and winter, based on the characteristics that the nighttime surface temperature of green tree crown is lower in summer and higher in winter than that of other materials. The vegetation indexes were also used in order to reduce the misclassifications. It was found that 70% of the shaded evergreen trees which were unidentified by the previous method were able to be identified using the proposed method.
Keywords
building; geophysical image processing; image classification; land surface temperature; terrain mapping; vegetation; vegetation mapping; airborne MSS data; airborne multispectral images; buildings; detached housing areas; evergreen trees; green tree crown; houses; land cover classification; nighttime surface temperature; remote sensing; trees identification; vegetation covers; vegetation index; Classification tree analysis; Indexes; Materials; Pixel; Temperature distribution; Vegetation; Land cover classification; airborne MSS; shade; surface temperature; tree;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location
Honolulu, HI
ISSN
2153-6996
Print_ISBN
978-1-4244-9565-8
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2010.5649685
Filename
5649685
Link To Document