Abstract: The paper constructs a remote sensing model of the forest canopy rainfall interception in the upstream of Minjiang Valley based on the principle of the forest water content balance and research on the orientation observation. The enhanced thematic mapper (ETM) and various data from remote sensing, practical measurement and routine observation are fully utilized in this model. By taking one pixel of the remote sensing images as the calculating unit, the model parameters, including vegetation coverage, leaf area index (LAI), and leaf rainfall interception are calculated, and the inverse calculation of the interception rainfall quantity of the forest coronal in the Maoergai Region of Minjiang Valley is given and analyzed. The results show that the inversion model can better reflect the true condition of the forest canopy rainfall interception in the research area.