Monitoring rice growing areas in the Lower Mekong subregion from MODIS satellite imagery

C. R. Chen; C. F. Chen; N. T. Son

doi:10.1117/12.897984

7 October 2011 Monitoring rice growing areas in the Lower Mekong subregion from MODIS satellite imagery

C. R. Chen, C. F. Chen, N. T. Son

Proceedings Volume 8174, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII; 817414 (2011) https://doi.org/10.1117/12.897984
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

Abstract

Rice is a major economic crop in the Lower Mekong Subregion (LMS). Information on rice growing areas is thus vital for agricultural planning for the sake of food security. This study aimed to map rice cropping systems in LMS from timeseries MODIS NDVI data for 2010. We processed the time-series NDVI data using wavelet transform and crosscorrelation. The classification results were assessed using ground verification data. The results indicated that smooth NDVI profiles derived from wavelet transform reflected the temporal characteristics of rice crop phelonogy under different rice cropping systems, enabling us to select proper training patterns used in cross-correlation based classifier. The comparison between the classification map and ground verification data revealed that the results achieved from this classification approach was promising for regional mapping of rice cropping patterns. The overall accuracy and Kappa coefficient were 79.5 and 0.72 respectively.

Citation Download Citation

C. R. Chen, C. F. Chen, and N. T. Son "Monitoring rice growing areas in the Lower Mekong subregion from MODIS satellite imagery", Proc. SPIE 8174, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII, 817414 (7 October 2011); https://doi.org/10.1117/12.897984

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KEYWORDS

MODIS

Image classification

Wavelet transforms

Associative arrays

Agriculture

Earth observing sensors

Image quality

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