One of the primary missions of the YCEO is to support education and training in the use of satellite remote sensing for the Yale community. Each year the YCEO supports one or more courses at Yale for upper level undergraduate and graduate students. In addition, the YCEO periodically offers a series of two-hour workshops to introduce the topic of remote sensing and enable students to perform basic image analysis.
OEFS is a semester long course covering the theory and application of satellite remote sensing as a tool for environmental science. The lectures and lab exercises during the first half of the course include the fundamentals of electromagnetic radiation, reflection and absorption, satellite and sensor technology, GIS, map projections, and digital image analysis, as well as practical training with advanced image processing software and internet data acquisition techniques. The latter half of the course consists of a series of environmental case studies which use satellite image processing techniques to solve a particular problem or answer a particular question. These applications may include: forest harvesting and land use, geomorphology, ecology, epidemiology and infectious disease, archaeology, oceanography, geology, hydrology, meteorology and climate studies. In addition to weekly labs, each student completes an independent term research project and presents the results in lieu of a final examination.
The Center has developed a series of satellite-based remote sensing workshops for students wishing to learn about, and work with, satellite images. Each workshop is approximately 2 hours in length, beginning with a 30 minute introduction to the topic, followed by a 90 minute lab exercise. These workshops are typically offered in the fall semester and will be announced on our web site and on the remote sensing email list.
This is a new course exploring the use of unmanned aerial systems as they apply to the field of environmental science. The first session will be an organizational meeting held in the YCEO Lab at ESC room 119 at 1:00 pm on 8 September. For more information check the F&ES course listing.
This is an advanced course on the use of satellite remote sensing to monitor terrestrial land‐use and land‐cover change. The course combines lectures, seminar discussions, and labs to emphasize digital image processing techniques to detect landscape dynamics using data from satellite sensors. Lab assignments will focus on data from the Landsat sensors. Topics include pre‐processing data for change detection, accuracy assessment of change maps, and methodologies to detect changes such as urban expansion, deforestation, seasonal variations in vegetation, agricultural expansion, vegetation health, and wildfires.