Hyper-spectral remote sensing is now a frontier of the remote sensing technology, which can monitoring chlorophyll content rapidly and nondestructive. In this study, four nitrogen forms were set up:ammonium sulfate (ammonium nitrogen) B1, potassium nitrate (nitrate nitrogen) B2, urea (amide nitrogen) B3, and formaldehyde urea (slow effect nitrogen 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 spectral parameters DVI(755,690) and DVI(810,690) has a good fitting degree, and the linear model R2 has reached a significant level, respectively. Rice treated with traditional urea had a lower growth rate than the other three types of nitrogen, the slow effect nitrogen fertilizer and ammonium nitrogen were suggested to improve nitrogen utilization efficiency and eventually reach the goal of high yield.
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