基于MODIS反演逐日LAI及SIMRIW模型的冷害对水稻单产的影响研究

该文旨在将遥感技术与水稻作物模型SIMRIW相结合,以黑龙江省五常市为例,研究冷害对水稻单产的影响。通过在水稻移栽期至成熟期选取的系列MODIS图像计算NDVI,进而反演水稻全生育期逐日LAI,结合SIMRIW模型计算水稻单产。计算结果表明2006年五常市水稻单产值为5411.74 kg/hm^2,为实际值的83%;而在4种用于LAI反演的统计模型中,抛物线模型精度最好;整体拟合法在逐日LAI计算中要优于分段拟合法。这说明应用MODIS能够准确反演并拟合逐日LAI,它可为冷害影响水稻单产的评价研究提供参考。

Effects of cold damage on paddy rice yield per unit area based on retrieving of daily LAI by MODIS and SIMRIW model

In this paper, the authors aimed at the integration of remote sensing technique and the SIMRIW model to study the effect of cold damage on paddy rice yield per unit area. The Wuchang city of Heilongjiang Province was taken as the study area. The NDVI values were calculated using a series of selected MODIS images from the transplanting to the maturity of rice growth stage so as to retrieve the corresponding LAI values, and furthermore to fit daily LAI values for full rice growth phase. The final results of paddy rice yield per unit area were obtained with the application of SIMRIW parameters. The results showed that the final paddy rice yield per unit area for the year of 2006 was 5411.74 kg/hm^2 which accounted for 83% of the actual value. Parabola model is the most accurate one out of four statistical models to realize LAI retrieving, and the aggregation fitting is superior to the section fitting in the daily LAI values computation. The study result proved the feasibility of accurate retrieving of the daily LAI from MODIS and provided the reference for the research in the field of the effect of cold damage on paddy rice yield per unit.