NRES 522

Spring 2019 All Classes

All Classes
Terrestrial Remote Sensing Applications

Credit: 3 hours.

This is an advanced course applying satellite remote sensing (RS) to terrestrial environmental issues. Students will gain a deep understanding of the physical mechanisms of remote sensing technology as well as the scientific contexts of how to best utilize remote sensing technology to address questions in natural resources, hydrology, and environmental monitoring. The course is intended for graduate students. The course does not require prior knowledge of remote sensing, but proficiency in one of the following programming languages is strongly recommended - Matlab, Python, or R.

3 graduate hours. No professional credit. Prerequisite: The course does not require prior knowledge of remote sensing, but students need to satisfy the following prerequisites: proficiency in one of the following programming languages- Matlab, Python, or R.

NRES 522 class schedule data for spring 2019
CRN Type Section Time Day Location Instructor Section Details
69381
Lecture-Discussion
A
2:00PM -4:50PM
M
M205 Turner Hall
Guan, K
Part of Term:
1
Date Range:
01/14/19-05/01/19
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