PLSCS 4290

PLSCS 4290

Course information provided by the Courses of Study 2020-2021. Courses of Study 2021-2022 is scheduled to publish by July 1.

This course introduces advanced concepts of remote sensing and numerical modeling, with hands-on experience in data acquisition, processing, and interpretation. This course aims to explore key questions facing the agronomic and natural eco-systems using remote sensing techniques and ecological modeling at various scales. The course is intended for senior undergraduate and graduate students (including MPS programs) seeking remote sensing techniques and hands-on experience in using remote sensing datasets/tools and model simulations to address research questions in their fields of study.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: knowledge of the basics of remote sensing, calculus, physics, and programming skills, and some background in agro-ecosystems or permission of instructor.

Outcomes
  • Describe the basic principles in remote sensing.
  • Describe the spectral signatures of land surface properties and appropriate application.
  • Acquire satellite dataset from NASA, ESA, and Google Earth Engine.
  • Process remote sensing data using ENVI, and R (or Python).
  • Run mechanistic model simulations in the CLM framework.
  • Apply remote sensing observations and model simulations to interpret agro-ecological phenomena.
  • Conduct an independent applications-based project.
  • Develop and present an oral and collaborative group project.

View Enrollment Information

Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Combined with: PLSCS 5290

  • 3 Credits Graded

  • 18340PLSCS 4290  LEC 001

    • TRTo Be Assigned
    • Aug 26 - Dec 7, 2021
    • Sun, Y

  • Instruction Mode: Planned for In Person
    Prerequisite: knowledge of the basics of remote sensing, calculus, physics, and programming skills, and some background in agro-ecosystems.