This study used Maigaiti gray jujube of Xinjiang as an example,and improved traditional cli-mate quality evaluation method,through integrating FY-4A satellite remote sensing data and high-reso-lution multi-source fusion grid meteorological data(ART-1km,CLDAS-v2.0,Laps).A grid-based model for evaluating the climate-related quality of agricultural products,combining observations from meteorological station and regional grid data,has been developed.The method of evaluating the climate-related quality of agricultural products based on multi-source data fusion is explained,The results show that this method can improve the reliability and resolution of the conclusion of climate quality evaluation of agricultural products,and can also solve the problem of climate related quality evaluation of agricul-tural products in areas without observational data.
维普
万方数据