BE485
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BE485 - Remote Sensing Data and Methods
Course Description
This course provides an in depth overview of practical topics in land remote sensing with big data, data sourcing and provenance, characteristics, generating algorithms, data discovery, advanced analysis, and data limitations. Students will learn how to discover and acquire a variety of global to regional land remote sensing data, learn about the various sensors/platforms collecting these data, learn how to interpret and use these data emphasizing real-world applications and research topics.
The course is aimed primarily at students of biosystems engineering, environmental sciences, and natural resources management, and aims at bridging the gap between the theoretical aspects of remote sensing and current Earth science data records, algorithms, and analytics.
The course is aimed primarily at students of biosystems engineering, environmental sciences, and natural resources management, and aims at bridging the gap between the theoretical aspects of remote sensing and current Earth science data records, algorithms, and analytics.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Undergraduate
Course Attributes
CE - CL (Cross Listed)
Enrollment Requirements
015235
Cross Listed Courses
May be convened with
BE585
Name
Lecture
Workload Hours
3
Optional Component
No
Typically Offered Main Campus
Spring