Study on the growth and spectral response of rice with different　nitrogen morphologies in water-saving irrigation model

摘要

Hyper-spectral remote sensing is now a frontier of the remote sensing technology, which can monitoring chlorophyllcontent rapidly and nondestructive. In this study, four nitrogen forms were set up：ammonium sulfate (ammoniumnitrogen) B1, potassium nitrate (nitrate nitrogen) B2, urea (amide nitrogen) B3, and formaldehyde urea (slow effectnitrogen fertilizer) B4. The chlorophyll content of B4 treated with different nitrogen forms was significantly different.Spectral parameters also show good correlation. The chlorophyll content estimation model constructed with the spectralparameters- DVI(755,690) and DVI(810,690) has a good fitting degree, and the linear model R2 has reached asignificant level, respectively. Rice treated with traditional urea had a lower growth rate than the other three types ofnitrogen, the slow effect nitrogen fertilizer and ammonium nitrogen were suggested to improve nitrogen utilizationefficiency and eventually reach the goal of high yield.