Title :
Mapping the montane landscape of Nikko area in Japan using ASTER images by integration of spectral and spatio-temporal information
Author :
Shen, Gang ; Sakai, Kenshi
Author_Institution :
Fac. of Agric., Tokyo Univ. of Agric. & Technol., Tokyo, Japan
Abstract :
This study explored the integration of spectral and spatio-temporal information, and investigated the contribution to landscape mapping of spatio-temporal information including DEM, slope, aspect, NDVI, ratio vegetation index, FVC by an example of Nikko montane area. The results demonstrated that spatio-temporal information could effectively improve the performance of montane landscape mapping. Finally, the quality landscape mapping of Nikko montane area in 2006 was achieved by an integration of spectral and spatio-temporal information with an overall accuracy of 83.42%.
Keywords :
digital elevation models; geophysical image processing; vegetation mapping; ASTER images; DEM; Japan; NDVI; Nikko montane area; montane landscape mapping; ratio vegetation index; spatio-temporal information integration; spectral information integration; Accuracy; Agriculture; Data mining; Indexes; Remote sensing; Support vector machines; Vegetation mapping; ASTER image; mapping; montane landscape; spectral and spatio-temporal information;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
DOI :
10.1109/RSETE.2011.5965009
