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Multi-year monitoring of paddy rice planting area in Northeast China using MODIS time series data

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Abstract

The objective of this study was to investigate the tempo-spatial distribution of paddy rice in Northeast China using moderate resolution imaging spectroradiometer (MODIS) data. We developed an algorithm for detection and estimation of the transplanting and flooding periods of paddy rice with a combination of enhanced vegetation index (EVI) and land surface water index with a central wavelength at 2 130 nm (LSWI2130). In two intensive sites in Northeast China, fine resolution satellite imagery was used to validate the performance of the algorithm at pixel and 3×3 pixel window levels, respectively. The commission and omission errors in both of the intensive sites were approximately less than 20%. Based on the algorithm, annual distribution of paddy rice in Northeast China from 2001 to 2009 was mapped and analyzed. The results demonstrated that the MODIS-derived area was highly correlated with published agricultural statistical data with a coefficient of determination (R 2) value of 0.847. It also revealed a sharp decline in 2003, especially in the Sanjiang Plain located in the northeast of Heilongjiang Province, due to the oversupply and price decline of rice in 2002. These results suggest that the approaches are available for accurate and reliable monitoring of rice cultivated areas and variation on a large scale.

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Correspondence to Jing-feng Huang.

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Project supported by the National High-Tech R & D Program (863) of China (No. 2012AA12A30703), the Meteorology Industry Special Project of China Meteorological Administration (CMA) (No. GYHY 201306036), and the Ph.D Programs Foundation of the Ministry of Education of China (No. 20100101110035)

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Shi, Jj., Huang, Jf. & Zhang, F. Multi-year monitoring of paddy rice planting area in Northeast China using MODIS time series data. J. Zhejiang Univ. Sci. B 14, 934–946 (2013). https://doi.org/10.1631/jzus.B1200352

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  • DOI: https://doi.org/10.1631/jzus.B1200352

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