Winter wheat quality monitoring and forecasting system based on remote sensing and environmental factors

35th International Symposium on Remote Sensing of Environment

地球科学;生态环境科学

Haiyang, Yu^1,2,3 ; Yanmei, Liu^1,2,3 ; Guijun, Yang^1,2 ; Xiaodong, Yang^1,2 ; Dong, Ren^3 ; Chenwei, Nie^1,2,3

Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China^1

National Engineering Research Center for Information Technology in Agriculture, Beijing, 100097, China^2

College of Computer and Information Technology, China Three Gorges University, Yichang 443002, Hubei, China^3

关键词: Available nitrogen;    Environmental factors;    Forecasting modeling;    Forecasting models;    Forecasting system;    Quality monitoring;    Remote sensing index;    Remote sensing monitoring;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012058/pdf
DOI  :  10.1088/1755-1315/17/1/012058

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

To achieve dynamic winter wheat quality monitoring and forecasting in larger scale regions, the objective of this study was to design and develop a winter wheat quality monitoring and forecasting system by using a remote sensing index and environmental factors. The winter wheat quality trend was forecasted before the harvest and quality was monitored after the harvest, respectively. The traditional quality-vegetation index from remote sensing monitoring and forecasting models were improved. Combining with latitude information, the vegetation index was used to estimate agronomy parameters which were related with winter wheat quality in the early stages for forecasting the quality trend. A combination of rainfall in May, temperature in May, illumination at later May, the soil available nitrogen content and other environmental factors established the quality monitoring model. Compared with a simple quality-vegetation index, the remote sensing monitoring and forecasting model used in this system get greatly improved accuracy. Winter wheat quality was monitored and forecasted based on the above models, and this system was completed based on WebGIS technology. Finally, in 2010 the operation process of winter wheat quality monitoring system was presented in Beijing, the monitoring and forecasting results was outputted as thematic maps.