Research on Business Model Running of Wheat Drought Remote Monitoring Before Mound Closure in ShanDong Province

摘要

Shandong is agricultural resource rich province in grain. It is a warm monsoon climate of temperate zone. Drought is on the top of variety natural disasters in Shandong province. Before the mound closure is an important period for the wheat harvest, it could ensure the enough number of the wheat emergence and tillering, which is the benefit period for the final harvest. Within the wheat growing stages, land vegetable covered is a gradually changing from bare to high, so we select the Thermal Inertia Model as a suitable method for the wheat drought monitoring before mound closure. But the plant canopy would affect to the soil background, that would make the deviation in soil temperature and albedo. Through the research, we discover the Enhance Vegetable Index (EVI)is more sensitive to vegetable change in lower vegetation covered land than others, so we try to guide EVI into Thermal Inertia Model as the vegetation impact factor to amend the conventional model. We use MODIS for data source, and select 1～5, 7, 31 and 32 bands which are more sensitive to soil moisture. Through the large number of ground experiments, we discover when EVI average value less than 0.18, the average of model inversion precision is more than 80%. The Amendment Thermal Inertia Model has higher precision than conventional model. And then according to the water needing effective differences during the wheat growth stages, we advanced the new standards for the drought evaluation of wheat. During 2008~2009, we use the Amendment Thermal Inertia Model for business running to monitor the wheat drought. Within the system, we support the reasonable resource scheduling suggestions for government to combat drought, and make sure the wheat production security.