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Proceedings Paper

A multivariable approach for land cover mapping with MODIS data: an assessment of Sanjiang Plain, China
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Paper Abstract

The objective of this study was to present the improvement of land cover mapping of Sanjiang Plain using MODIS data. A filter method based on time series was applied to remove EVI noise. A set of variables that were derived from MODIS data and DEM consisted of:(i)phenological feature variables derived from EVI temporal profile;(ii)geographical environment variables;(iii)spectral feature variable obtained from MODIS surface reflectance data;(iv)several feature band variables. Then the land cover map was generated using a simple but reasonable decision tree. In addition, our classification result was compared with land use map derived from Landsat ETM+ images using a confusion matrix, as well as a comparison with MODIS-IGBP land cover product was discussed. The comparison demonstrated the good behavior of the multivariable approach and technical processing used in the research, as well as indicated the promise of MODIS data for land cover mapping at regional scale.

Paper Details

Date Published: 10 July 2009
PDF: 8 pages
Proc. SPIE 7491, PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering, 74910T (10 July 2009); doi: 10.1117/12.836675
Show Author Affiliations
Hongyan Cai, Northeast Institute of Geography and Agroecology (China)
Graduate Univ. of the Chinese Academy of Sciences (China)
Shuwen Zhang, Northeast Institute of Geography and Agroecology (China)

Published in SPIE Proceedings Vol. 7491:
PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering
Honghua Tan; Qi Luo, Editor(s)

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