Classroom Lectures


Courses in Environmental Science and Management  (ESM)

ESM-185. Aerial Photo Interpretation and Remote Sensing (4 units)

Lecture—2 hours; laboratory—4 hours. Prerequisite: upper division standing. Basics of remote sensing and photogrammetry, grids and map projections, aerial photo interpretation, sensors and platforms for aerial and space photography and non-photographic imaging systems, aerial thermography,microwave sensing, and introduction to remote sensing applications. -I. (I.) Syllabus

ESM-186. Environmental Remote Sensing (3 units) 

Lecture—3 hours. Prerequisite: Mathematics 16 Band Physics 7C or 9B; upper division standing. Overview of satellite, airborne, and ground-based remote sensing. Building on properties of EM Radiation,isotropic and non-isotropic scattering and absorption, examines applications in hydrologic processes ,weather and climate, ecology and land use, soils, geology, forestry, and agriculture. Formerly Environmental and Resource Sciences 186. GE credit: QL, SE, VL.—II. (II.) Ustin. Download Syllabus here. 

  1. Introduction
  2. Reflectance Measurements
  3. Leafs & Plants
  4. Canopy
  5. Water
  6. Water
  7. Geology
  8. Midterm
  9. Land Cover
  10. Geomorphology
  11. Water
  12. Change Detection
  13. Weather
  14. Storms
  15. Climate Change
  16. Urban
  17. Disaster
  18. LIDAR
  19. RADAR
  20. Future Satellites


ESM-186L. Environmental Remote Sensing Lab (2 units)

Laboratory—6 hours, concurrent enrollment in ESM186. Computer based analysis and visualization of digital images and image processing techniques. Hands-on experience in digital image processing. GE credit:QL, SE, SL, VL.—III. (III.) Ustin (download Syllabus  & download Lab Manual here)

ESM-286. Selected Topics in Environmental Remote Sensing (3 units)

Discussion—2 hours; lecture—1 hour; project. Prerequisite: consent on instructor; Environmental and Resource Sciences 186 or equivalent required; Environmental and Resource Sciences 186L recommended.In depth investigation of advanced topics in remote sensing applications, measurements, and theory. May be repeated for credit. Not offered every year.—III. (III.) Ustin