Multisource data complex classification of grassland: case study of Inner Mongolia grassland

Bingru Zhao; Hui Wang

doi:10.1117/12.902734

23 November 2011 Multisource data complex classification of grassland: case study of Inner Mongolia grassland

Bingru Zhao, Hui Wang

Proceedings Volume 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 80062K (2011) https://doi.org/10.1117/12.902734
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

Based on daily MODIS Enhanced Vegetation Index (EVI), monthly MODIS EVI was calculated, and was analyzed by Principal Component Analysis (PCA) further, whose first three components were inputted as the first three parameters for classification. The fourth, fifth classification parameters were obtained by applying kriging interpolation, principal component analysis, and data re-sampling to temperature, precipitation, bio-temperature and DEM data. Based on these five parameters, the Inner Mongolia grassland was classified by using ISODATA. The results showed that the grassland classification of MODIS EVI provided more information than that of AVHRR NDVI and MODIS NDVI. This method could identify five classes of Inner Mongolia grassland clearly, and sub-classes of temperate meadow, temperate steppe and temperate desert steppe were also distinguished.

Citation Download Citation

Bingru Zhao and Hui Wang "Multisource data complex classification of grassland: case study of Inner Mongolia grassland", Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80062K (23 November 2011); https://doi.org/10.1117/12.902734

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