Gog 525 Remote Sensing Applications

This course focuses on state-of-the-art techniques and methods for estimating land surface information from remote sensing observations. The specific topics cover a wide range of advanced remote sensing algorithms for extracting vegetation biophysical variables, estimating land surface hydrological variables, and mapping land-cover and land-use changes. Students are required to present and discuss assigned weekly readings and complete an individual research project. Prerequisites: GOG502 (or ATM315) and GOG484 (or ATM335), or equivalent, i.e., basic remote sensing and statistical knowledge equivalent to one introductory remote sensing course and one elementary statistical course.