Land cover classification with MODIS data in China

Changyao Wang; Degang Zhao; Yulin Zhan; Qingyuan Zhang

doi:10.1117/12.847903

9 October 2009 Land cover classification with MODIS data in China

Changyao Wang, Degang Zhao, Yulin Zhan, Qingyuan Zhang

Proceedings Volume 7471, Second International Conference on Earth Observation for Global Changes; 747102 (2009) https://doi.org/10.1117/12.847903
Event: Second International Conference on Earth Observation for Global Changes, 2009, Chengdu, China

Abstract

In this paper, Moderate Resolution Image Spectroradiometer (MODIS) data with high spectral and temporal resolutions were used as input parameters for Chinese regional scale land cover classification. Firstly, Enhanced Vegetation Index (EVI), Normalized Difference Water Index (NDWI) and Normalized Difference Soil Index (NDSI) were calculated as input spectral features relies on an annual time series of twelve MODIS 8-day composite reflectance images (MOD09) acquired during the year of 2007. The monthly EVI was produced by the maximum value composite; the three indices were added in the image to form a 10-spectral-bands image. In order to reduce the input feature space dimension, we resort to the mean Jeffries-Matusita distance as a statistical separability criterion to select the best spectral feature combination according to their ability of separating the land cover classes. Once we achieved, the monthly best combination spectral bands were dealt with Principal Component Analysis (PCA) method and their first three principal components were used as input parameters for decision tree classification. The result showed that the best combination of spectral bands added temporal information as input parameters can reach a certain high classification accuracy (81.16%) at moderate spatial scales without other accessorial data.

Citation Download Citation

Changyao Wang, Degang Zhao, Yulin Zhan, and Qingyuan Zhang "Land cover classification with MODIS data in China", Proc. SPIE 7471, Second International Conference on Earth Observation for Global Changes, 747102 (9 October 2009); https://doi.org/10.1117/12.847903

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