Journal of University of Chinese Academy of Sciences >
Land cover classification based on MODIS/NDVI times series data
Received date: 2009-06-26
Revised date: 2009-11-06
Online published: 2010-03-15
With the 250m MODIS/NDVI times series datasets as main data source we reconstructed NDVI times series datasets with higher quality by Sacizkky-Golay filter, and we merged 500m MODIS multi-spectral reflectance data with 90m DEM data. With a combination of unsupervised classification and decision-tree methods, we extracted the land cover classification of Amur-Heilong River basin. We assessed the classification accuracy by using the current land cover map and high-resolution remote sensing images. The results indicate that acquirement of more accurate land cover classification by using MODIS/NDVI times series datasets is fessible.
Key words： Amur-Heilong River basin; land cover; MODIS; NDVI time series
LIU Qing-Feng , LIU Ji-Ping , SONG Kai-Shan . Land cover classification based on MODIS/NDVI times series data[J]. Journal of University of Chinese Academy of Sciences, 2010 , 27(2) : 163 -169 . DOI: 10.7523/j.issn.2095-6134.2010.2.003
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