Applied Remote Sensing

Catalog description

Emphasis is put on physical principles of active and passive remote sensing, data discovery, basics of campaign planning, data analysis, modifying and writing custom code in R or a coding language of choice, and digital cartography. In the lab, students use remote sensing data to investigate their own research questions or one of the topics/questions provided. Graduate students are expected to generate and analyze research questions related to the graduate program exceptions are possible