Land cover classification based on MODIS/NDVI times series data

doi:10.7523/j.issn.2095-6134.2010.2.003

Abstract

Abstract:

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

CLC Number:

P407.8

LIU Qing-Feng, LIU Ji-Ping, SONG Kai-Shan. Land cover classification based on MODIS/NDVI times series data[J]. , 2010, 27(2): 163-169.

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