Land cover classification based on MODIS/NDVI times series data
With the 250m MODIS/NDVI times series datasets as main data source we reconstructed NDVI times series datasets with higher quality by Sacizkky-Golay filher,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 resuits indieate that acquirement of more accurate land cover classification by using MODIS/NDVI times series datasets is fessible.
Amur-Heilong River basinland coverMODISNDVI time series
国家科技期刊平台
NSTL
万方数据
维普
