Satellite remote sensing

Satellite remote sensing application development

This 2-week course will introduce sensor physics, remote sensing data calibration and validation, and the methodology in developing remote sensing algorithms for the atmosphere, land, and ocean. Mature remote sensing development tools such as radiative transfer models and a rigorous quality control process for algorithm development will be introduced. The course will also diagnose existing algorithms and apply case studies and in-class exercises to reinforce learning.

Application of satellite data for atmosphere, land, and ocean monitoring

This 2-week course will introduce U.S. environmental satellites (e.g., NOAA polar orbiters and geostationary satellites, NASA Earth Observing System platforms, and Landsat) and the environmental parameters they produce (e.g., atmospheric sounding, vegetation index, ocean color, and sea surface wind and temperature). This course will then describe the applications of these parameters for atmosphere, land, and ocean monitoring and prediction. Data sources, data formats, analysis systems, and relevant software packages will be discussed.