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 :
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