Instructor:

Professor Karen Seto
380 Edwards Street, Room 102
Office hours: M 1-2pm or by appointment
karen.seto@yale.edu

David Butman
Office hours: F 1-2pm
david.butman@yale.edu

Angel Hsu, Teaching Fellow
Office hours: TBA
angel.hsu@yale.edu

Class Hours:

MW 10:30‐11:50am, Kroon G01
Plus a two-hour lab W 1:00 - 3:00pm, Yale Center for Earth Observation in the Environmental Science Center, room 119.

Prerequisite:

Observing Earth From Space F&ES 77001b/ARCG 762b/G&G 562b, prior experience/coursework, or consent of instructor.

Course Description:

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. 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 coastal changes.

Readings

Readings will be posted on *v2.

Project

Students are required to complete a research project. The goal of the project is for students to identify a land‐cover change question and to answer it with the use of remote sensing. The project will consist of developing a research question, outlining the data and methodologies, and implementing the research. Students will present their project during the final exam period and submit a written paper.

Laboratory Assignments

There are 9 weekly lab assignments. The lab assignments are designed to teach you how to implement digital image processing algorithms.

Abstracts of past student projects are available online.