This course introduces the fundamental physics of remote sensing systems and incorporates hands-on exercises of image processing, information extraction and interpretation, and basic applications of airborne and satellite data in Earth System Science and Atmospheric Science. Prerequisites: ESS 103, (ESS 104 or ESS 111), (MA 120 or MA 171), (PH 101 or PH 111), and (CS 102 or CS 103 or CS 104).

The course introduces the principle of geospatial statistics and geospatial modeling and covers commonly-used geospatial analysis algorithms and their relevant applications in Earth System Science. Topics include pattern analysis, clusters identification, geographically weighted regression, spatial interpolation, suitability modeling, and 3D analysis. Prerequisite: ESS 414.

This course pursues both basic and advanced concepts in radiative transfer processes and retrieval algorithms of land surface biophysical variables from remote sensing observations, with an emphasis on the hands-on experience of data preprocessing and information extraction by using ENVI. Prerequisite: ESS 514.

This course covers modern scientific and applied topics on urban climates, including physical principles governing the distinct anthropogenic modified urban climate and their adaptation and mitigation in changing climate. The course will introduce the basic concepts of urbanization, overview methodology for urban climate research, and discuss key physical processes of built environments and atmosphere interactions, such as airflow, radiation, energy budget, water, etc... The course consists of lectures, literature discussions, and projects that are centered on these topics.