Land cover classification based on typical indices combinations of MODIS NDVI time series

Zitao Du; Yulin Zhan; Changyao Wang

doi:10.1117/12.813205

7 November 2008 Land cover classification based on typical indices combinations of MODIS NDVI time series

Zitao Du, Yulin Zhan, Changyao Wang

Proceedings Volume 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images; 714705 (2008) https://doi.org/10.1117/12.813205
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

Abstract

MODIS data has a high temporal and spectral resolution, and it can provide vegetation indices of high quality. By using MODIS NDVI time series with 250 m spatial resolution which were composite of 16 days in 2005, this work chose annual modulus of vector, maximum and minimum NDVI three indices to do classification. Training and validation samples were selected based on TM images and the 1:1,000,000 vegetation atlas of China. Then the land coverage map was generated using maximum likelihood classification (MLC) method. After post-classification process of the original classification result, the final land classification map of Keerqin sandy land was got in the end. The classification accuracy was assessed using validation samples and the result indicates that 250 m MODIS NDVI time series has advantage and potential in regional land coverage mapping. Also the classification method used in the paper could not only reduce the data amount and quicken the speed of classification, but also could reduce the disturbance of other invalidation information to classification and get better classification accuracy.

Citation Download Citation

Zitao Du, Yulin Zhan, and Changyao Wang "Land cover classification based on typical indices combinations of MODIS NDVI time series", Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 714705 (7 November 2008); https://doi.org/10.1117/12.813205

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