Overview

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. If you wish to discuss remote sensing education you can contact one of the YCEO Faculty Advisors or member of the YCEO staff.


Observing the Earth from Space
G&G 362b/562b or EVST 362b or F&ES 77001b or EMD 548b or ARCG 362b/762b - Next taught Spring 2014

The semester long course covers 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 complets an independent term research project and presents the results in lieu of a final examination.


Remote Sensing of Land Cover and Land Use Change
F&ES 77015b - Next taught Spring 2014

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.
Prerequisites: F&ES 77001b/ARCG 762b/G&G 562b or consent of instructor.


Remote Sensing Workshops

The Center has developed a series of satellite-based remote sensing workshops, each approximately 2 hours in length.  There is a lecture covering relevant materials for the first half hour, followed by a 90 minute lab exercise. 

Introduction to Satellite-Based Remote Sensing

This workshop will introduce basic concepts of remote sensing including; the electromagnetic spectrum, characteristics of selected major sensor systems, components of a satellite image, and a description of spectral, spatial and temporal resolution.  The workshop exercise will use the Google Earth Engine and cloud-based data so laptops are required to complete the exercise.  Students will compare and contrast various types of data across time and space and will be introduced to basic image manipulation techniques.  Each session of this workshop is limited to 25 students, on a first-come first-served basis.

Note
: This workshop is a prerequisite for the remaining workshops in this series.
When: Offered twice, Monday 30 September and repeated Tuesday 1 October, from 4 – 6pm
Where: The Environmental Science Center room ESC 110


Image Analysis and Interpretation Techniques

Students will use ENVI software to experiment with a variety of image enhancement and analysis techniques to identify features in the landscape.  Tools include 2D scatterplots, spectral/temporal profiles, and cell value and mensuration tools.  Students will also use image histograms and statistics to explore these satellite data.  Because space is limited, each session of this workshop is limited to 13 students. Pre-registration is required so an account can be created for you at the Center. Please contact Larry Bonneau at the Yale Center for Earth Observation to enroll in a workshop. Make sure you specify the workshop name and date you wish to attend.

Prerequisite:  Introduction to Satellite-Based Remote Sensing or equivalent and preregistration
When: Offered twice, Tuesday 8 October and repeated Wednesday 9 October, from 4 – 6pm
Where: ESC Room 119 – YCEO Lab


Converting Satellite Images into Data

This third workshop in the series introduces methods to quantify and categorize satellite images. Students will learn methods to extract information from images.  This includes how to classify images and create useful indexes from satellite images.  Because space is limited, each session of this workshop is limited to 13 students. Pre-registration is required so an account can be created for you at the Center. Please contact Larry Bonneau at the Yale Center for Earth Observation to enroll in a workshop. Make sure you specify the workshop name and date you wish to attend.

Prerequisite:  Introduction to Satellite-Based Remote Sensing or equivalent and preregistration
When: Offered twice, Tuesday 15 October and repeated Wednesday 16 October, from 4 – 6pm
Where: ESC Room 119 – YCEO Lab


Additional workshops may be offered if there is a demand. Several topics are under consideration include:

You should contact Larry Bonneau at the Yale Center for Earth Observation if you are interested in attending an upcoming workshop.


Alternate Learning Resources

For those of you without the time or inclination to take a semester-long course, or just want an introduction to these technologies, you can explore the World Wide Web. The internet contains a large amount of information about Remote Sensing and Geographic Information Systems (GIS). There are tutorials, FAQ's (Frequently Asked Questions), pictures and long lists of links to interesting places.