Research On Business Model Running Of Wheat Drought Remote Monitoring Before Mound Closure In ShanDong Province

Shandong is agricultural resource-rich province in grain, cotton, peanuts, vegetables, and fruits. It located in the middle and lower reaches of the Yellow River. It is a warm temperate monsoon climate, rainfall concentration, and the high frequency of droughts and floods. Drought is on the top of variety natural disasters. It causes the serious harm to food security. There are differences in water consumption during the each Wheat growth stage. Wheat growth need a lot of water,and the total water demand increasing within production improve. Before the mound closure is an important period for the wheat harvest, it could support the enough number of the wheat emergence and tillering, when is the benefit period for the final harvest. Water has a great significance of the strong seedlings in this period.This article discusses the feasibility of drought monitoring in remote sensing techniques. At the same time, we analyze thermal inertia method, vegetation support water index, greenness index, anomalies of vegetation index and microwave remote sensing methods. We consider from three aspects to select the suitable model for wheat drought monitoring by remote sensing.Firstly, within the wheat growing, land covered from low to high, it is an gradually change. Secondly, soil reflectance and land temperature inversion algorithm could be matur for thermal inertia model. And the end, it could soil moisture and the results have timely with lower cost. Therefore, we choose the thermal inertia model to do this research.This article introduce the MODIS data's three features:high spectral resolution,high temporal resolution and moderate spatial resolution. And select MODIS data from 36 bands for soil moisture inversion, 1～5,7,31,32 bands. Then we use MODIS for data source and select thermal inertia method to build a model for drought remote monitoring. It is appropriate for bared or low vegetation covered land. Within the comprehensive consideration of the plant canopy on the soil background effect, we lead the vegetable index into the model as the vegetation impact factor. Some researches shows that enhance vegetable index(EVI) is more sensitive to low vegetation covered land than the others, so we use EVI to amend the original conventional thermal inertia model. According to the effective water needing differences during the wheat growth period, we advance the new standards for the drought evaluation of wheat.Through the large number of ground experiments data to verify the amendment thermal inertia model, and analysis the RMS. We discover that when NDVI average value is 0.3 and EVI average value is 0.18, the average of inversion accuracy is more than 80%. And we put the model results and vegetation index sequence, the period from the wheat sowing to the wheat greening, the amendment thermal inertia model have higher precision than conventional modle, and meet the business running.Within contrast and analysis the result of the inversion in the same period, this is using by conventional and amend inertia model, amendment inertia model's precision is higher, and that would expand the application of time-domain. Drought could be prevented and controlled. Drought occurs and effects usually lag to crops. Discovered the soil moisture in time and carrying out the scientific drought production technology could reduce drought losses and guarantee food security in effect. We use amendment thermal inertia model for wheat drought monitoring in Shandong province during 2008~2009. Using the system, we could real-time access to the province's crop planting area soil moisture. According to the remote sensing monitoring results, the wheat sowing period in 2008, according to the wheat drought monitoring result, we advise the suitable irrigate to ensure a good number of emergence and tillering. Drought disaster in early 2009, we make a closed monitoring to drought occurrence and development. Before the winter, on the base of the monitoring results, agricultural parts support the effective guid to the drought areas. So at the meteorological draought most serious period in Jan.2009, remote sensing monitoring results obvious that the most parts of wheat plant areas are suiltable for growing, just Mid-ShanDong and South-ShanDong areas could drought. Facing to the serious drought, within reomte sensing technology, we support the reasonable resource scheduling suggestions for government to combat drought, and ensure the wheat production would be good. The amendment thermal inertia model supply the effective help for government to win the drought relief.