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Proceedings Paper

Multisource data complex classification of grassland: case study of Inner Mongolia grassland
Author(s): Bingru Zhao; Hui Wang
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Paper 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.

Paper Details

Date Published: 23 November 2011
PDF: 7 pages
Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80062K (23 November 2011); doi: 10.1117/12.902734
Show Author Affiliations
Bingru Zhao, Dalian Maritime Univ. (China)
Hui Wang, Dalian Maritime Univ. (China)


Published in SPIE Proceedings Vol. 8006:
MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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