In the present study, the authors detected clove laminas in different states with multi-angle hyperspectral polarized reflections and measured their chlorophyll content at the same time. The authors analyzed hyperspectral polarized reflections of clove laminas from various viewing zenith angles, incidence angles, the relative azimuth angles, polarized states and chlorophyll content. The authors calculated quantitatively clove laminas in different states with multi-angle hyperspectral polarized reflection by USB2000, bidirectional polarized reflectance and polarized equipment, and built the regression models of polarized information-chlorophyll content. The result indicated that when the polarized angle was 0°, the model of chlorophyll content with polarization reflectance was built as Y＝4.506 4e-0.056 8X(Ｒ２=0.895 8); while as the polarized angle was 90°, the model of chlorophyll content with polarization reflectance was built as Y＝145.79X-1.204 1(Ｒ２=0.479 8); when the incidence angle was 50°, the model of chlorophyll content with degree of polarization was built as Ｙ＝7 206.7X6-20 160X5+22 547Ｘ４-12 788X5+3 822.4X2-553.72X+30.429 (Ｒ２=0.646 4). The authors found that a significant functional relationship between the polarized information and chlorophyll content exists. The study provides a theoretical base for vegetation remote sensing.