Winter Wheat Field Parameters Estimate And System Design In Henan Province

For agricultural production,the information of winter wheat growing and its environment(such as winter wheat leaf area index and biomass above the ground) are important. Because these parameters are not only the representation of winter wheat growing information, but also have directly related with the yield of winter wheat. On the one hand, realizing the plant and growing information of winter wheat timely and accurately can provide necessary information for estimating the yield of winter wheat,on the other hand, it can provide references for adjusting farming activities. With the constant development of 3S technology, remote sensing has been used in agricultural widely. Extracting the plant information of crops and inverting the growing parameter of vegetation have been hotspot for several years. The winter wheat product of Henan--as a major agricultural province, makes an important contribution to guarantee food security. Realizing the winter wheat information of Henan basing RS technology is of great significance. In this research, Henan is taken as the study area,and based on EOS-MODIS and Landsat-8 OLI data and field survey information, the planting information and the winter wheat leaf area index as well as the biomass over ground part of winter wheat have been inversed by RS technology and statistical analysis. In addition, in order to realize the data processing streamline and inversion processing convenience, a data processing system named the system of parameters inversion for growing winter wheat of Henan province has been created.In this paper, the main contents and conclusions are as follows:(1)With the method of quantitative spectrums analyze, based on multi-temporal remote sensing dataset-MODIS-EVI, the characteristics of EVI value change for different land use have been researched. It shows that, over the period of winter wheat growing between October 2014 and June 2015, to extract the information of winter wheat planting area and spatial distribution in Henan province, the most important remote sensing data temporal are October 16, December 9, April 25 and May 25. Thedate correspond to the winter wheat period of sowing stage, over-wintering stage,flowering period and harvest period respectively.(2)Based on multi-temporal MODIS-EVI dataset, the information of winter wheat planting area and spatial distribution in Henan province has been extracted by the method of decision tree, which is an important method of remote sensing image classification method. It shows that, between October 2014 and June 2015, the planting area of winter wheat in Henan province is 55484 square kilometers. The accuracy of extraction is 97.7% to statistics result, which comes from Henan statistical yearbook. To the data, which comes from Actual investigation and field measure, the user accuracy is 83.3%.(3)By the method of statistical regression, remote sensing data has been used to realize winter wheat leaf area index reversion combined with field measured data.The result predicts that the vegetation index, which are closely related to winter wheat index is DVI and EVI. To realize winter wheat leaf area index inversion, the most accurate prediction model is LAI=2.844e1.096*EVI. It is built by EVI, and the Determination coefficient is 0.79, and the residual is 0.319.(4)In order to realize winter wheat above-ground biomass inversion, vegetation index data was used to analyze combined with the measured data by the method of regression provided by SPSS. The result shows that, in the flowing stage of winter wheat, the vegetation RVI is the best parameter to predict winter wheat biomass above ground. The prediction function is like as DM=0.039+0.012×RVI. In the period of winter wheat filling, NDVI is the best variable to calculate biomass. The prediction equation is DM=1.187e1.61 NDVI.