Principles of Remote Sensing for Agriculture Sciences
CRSS 4150/6150-4150L/6150L
3 hours. 2 hours lecture and 2 hours lab per week.
Principles of Remote Sensing for Agriculture Sciences
Analytical Thinking
Course Description
A remote sensing course that will introduce students to basic concepts of satellite image acquisition and analysis, and allow students to obtain skills in image processing and data extraction for agriculture sciences. This course has a major experiential learning component, in which students will have the opportunity to practice concepts taught during lectures using real data.
Additional Requirements for Graduate Students: Graduate students will be required to develop a design project and present it to the class using their research data or data publicly available. The design project and presentation are designed to help students apply the techniques they have learned in class and to develop their teaching, presentation, and writing skills.
Athena Title
Remote Sens Ag Sci
Prerequisite
CRSS 2010 or CRSS 3030 or permission of department
Semester Course Offered
Offered spring
Grading System
A - F (Traditional)
Student learning Outcomes
By the end of this course, students will understand the basic remote sensing concepts (light reflection by different objects), image characteristics, and structure.
By the end of this course, students will identify different types of satellite platforms and sensors, satellite data sources, satellite characteristics, and resolutions.
By the end of this course, students will perform satellite image processing and data analysis for agricultural applications.
Topical Outline
1. Introduction to Remote Sensing
2. Electromagnetic energy and spectrum
3. Image characteristics
4. Digital image structure
5. Overview of navigation systems
6. Light interception with different objects
7. Leaf reflectance in different bands
8. Multispectral, thermal, and hyperspectral satellites
9. Satellite data processing
10. Satellite application in agriculture (case studies)
11. Design projects
a- Graduate students: Develop a design project integrating one or more of the concepts learned in class and apply them to a dataset chosen by the student and present to the class
b- Design projects are not required for undergraduate students, but students can choose to develop a project
Institutional Competencies Learning Outcomes
Analytical Thinking
The ability to reason, interpret, analyze, and solve problems from a wide array of authentic contexts.
