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

fYear

2011

fDate

24-26 June 2011

Firstpage

3263

Lastpage

3266

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-9172-8

Type

conf

DOI

10.1109/RSETE.2011.5965009

Filename

5965009