The routine use of remote sensing techniques has become an indispensable element of many activities in our modern world. A huge variety of sensors on satellites, airplanes, unmanned aerial vehicles (“drones”), and other platforms provide data for a variety of applications on a regular basis. From disaster response after hurricanes, earthquakes, floods, and oil spills to monitoring ship traffic and floating sea ice, remote sensing technology enables us to acquire high-resolution satellite images of most areas in the world and to obtain near-real-time measurements of sea surface temperatures, currents, wave heights, wind speeds, atmospheric temperature profiles, clouds, aerosols, and more.
The MPS track “Applied Remote Sensing” offered by the University of Miami’s Rosenstiel School of Marine and Atmospheric Science (RSMAS) and Center for Southeastern Tropical Advanced Remote Sensing (CSTARS) is tailored to the needs of students who seek to gain theoretical knowledge and practical, real-world experiences geared towards a successful career in the field of remote sensing in both public and private sectors. This track is also appropriate for those already in the workforce who require additional training or are looking to expand upon their knowledge and skills. UM / RSMAS / CSTARS is one of the leading remote sensing institutions in the U.S., with direct access to data from many satellites and excellent connections to data users (and potential employers of the students) and partner institutions all over the world.
Students entering this track need to have a Bachelor’s degree in Mathematics, Physics, Geosciences, or Engineering or an equivalent degree from an accredited U.S. institution of higher education. See Program Requirements for more details.
The MPS in “Applied Remote Sensing” offered by the University of Miami’s Rosenstiel School of Marine and Atmospheric Science (RSMAS) and Center for Southeastern Tropical Advanced Remote Sensing (CSTARS) is tailored to the needs of students who seek to gain theoretical knowledge and practical, real-world experiences geared towards a successful career in the field of remote sensing in both public and private sectors. This program is also appropriate for those already in the workforce who require additional training or are looking to expand upon their knowledge and skills.
Dr. Roland Romeiser
Applied Remote Sensing Track
Fall
Credit Hours
OCE 642
Physics of Remote Sensing I: Passive Systems
3
OCE 686
Applied Remote Sensing
3
RSM 612
Statistics for Environmental Management/ OR Elective
3
MGS 635
Geological Hazards
3
Credit Hours
12
Spring
Credit Hours
OCE 643
Physics of Remote Sensing II: Active Systems
3
OCE 687
Applied Radar Remote Sensing
3
MES 660 + 661
Introduction to Marine Geographic Information Systems (GIS) and GIS Laboratory (Can be taken in Fall or Spring)
3
OCE 637
Natural Hazards: Atmosphere and Ocean/ OR Elective
3
Credit Hours
12
Summer
Credit Hours
OCE 805
MPS Internship
6
Credit Hours
6
Total Credit Hours
30
Students may take any elective on the RSMAS campus with the consent of their faculty advisor. Below are a few examples of courses past students in this program used as electives.
For more details, visit the UM Bulletin
Code
Title
Credit Hours
OCE 705
Chemical Oceanography
3
MES 720
Coastal Law and Policy
3
MES 602
Economics of Natural Resources
3
MES 620
Environmental Law and Policy
3
MES 610
Environmental Policy and the Environmental Impact Statement
3
ATM 651
Introduction to Atmospheric Science
3
MES 616
Ocean Policy and Development and Analysis
3
MES 630
Port Operations and Policy (Offered by Announcement Only)
3
OCE 603
Physical Oceanography
3
MBE 615
Tropical Marine Ecology
3
MES 677
Management and Conservation of Marine Ecosystems
3
ATM 662
Advance Weather Forecasting
3
OCE 651
Applied Ocean Acoustics and Marine Mammals
3
OCE 676
Wave Propagation in the Ocean Environment
3
OCE 790
Mechanics and Thermodynamics of the Air-Sea Interface
3
MES 633
Decision Analysis: Natural Hazards and Catastrophes
3
MGS 635
Hydrological Hazards
3
OCE 636
Hurricanes
3
OCE 624
Applied Data Analysis (Offered by Announcement Only)
3
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