Prof. Chris Ruf leads the Remote Sensing Group (RSG) in the Climate and Space Sciences and Engineering Department (CLaSP) of the College of Engineering, University of Michigan. RSG develops new remote sensing methods and applies them to atmospheric, oceanographic, and terrestial investigations on Earth and to lunar and planetary investigations in space. Remote sensing research in RSG includes the development of forward model inversion algorithms to estimate geophysical parameters from engineering measurements, the development of forward models to predict engineering measurements from the geophysical state, the design and development of remote sensing technologies and instruments to enable new types of measurements, and the development and application of new methods for calibrating raw remote sensing measurements. Most of the recent research activity in RSG has been related to the NASA Cyclone Global Navigation Satellite System mission.