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

Hongyan Cai; Shuwen Zhang

doi:10.1117/12.836675

10 July 2009 A multivariable approach for land cover mapping with MODIS data: an assessment of Sanjiang Plain, China

Hongyan Cai, Shuwen Zhang

Proceedings Volume 7491, PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering; 74910T (2009) https://doi.org/10.1117/12.836675
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China

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.

Citation Download Citation

Hongyan Cai and Shuwen Zhang "A multivariable approach for land cover mapping with MODIS data: an assessment of Sanjiang Plain, China", Proc. SPIE 7491, PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering, 74910T (10 July 2009); https://doi.org/10.1117/12.836675

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