Remote sensing (RS) is capable of acquiring information of an object with non-physical contact, which is applied to monitor crop health for timely mitigation purpose in nutrition and health conditions. A new bistatic Light Detection and Ranging (LIDAR) system is used to early detect crop diseases presented in this paper. The crop canopy anomalies in carbon dioxide (CO2) concentration, which is possibly related to disorder in plant photosynthesis, are measured by the proposed bistatic LIDAR system. Particularly, the initial modeling and calculation activities are carried out and discussed in the paper in order to predict the sensor performance. Future experiments are also developed according to the results of this analysis.