Remote Sensing for Agricultural Applications: Principles and Techniques is a course designed for graduate students who specilize in precision agriculture, land use and management, soil science, and agricultural engineering related subjects. This course will provide in-depth descriptions of agricultural remote sensing and emphasize on both principles and technical experiences.

Topics for the course will include the fundamentals of agricultural remote sensing (e.g., principles of electromagnetic radiation, characteristics of remotely sensed data, remote sensing of vegetation) and common data analysis techniques (e.g., image statistics, image pre-processing, spectral analysis and image classification).

Other than attending lectures, students will also be asked to read classic papers on remote sensing of vegetation or particularly crops, give presentations on selected papers, finish lab projects and take exams. The students will acquire knowledge about fundamentals, significant achievements and recent progress in remote sensing and its applications to agriculture.

Hope you enjoy the online learning experience.