Remote Sensing for Marine Ecosystems
( 25 Modules )

Module #1
Introduction to Remote Sensing
Overview of remote sensing principles, advantages, and applications

Module #2
Marine Ecosystems Overview
Introduction to marine ecosystems, importance, and threats

Module #3
_REMOTE SENSING PLATFORMS
Satellites, aircraft, and drones for remote sensing

Module #4
Sensors and Instruments
Types of sensors and instruments used in remote sensing (e.g. optical, radar, lidar)

Module #5
Remote Sensing Data Types
Overview of different data types (e.g. imagery, spectral, thermal)

Module #6
Data Acquisition and Preprocessing
Introduction to data acquisition, preprocessing, and quality control

Module #7
Marine Habitat Mapping
Using remote sensing for marine habitat mapping and classification

Module #8
Seafloor Topography and Bathymetry
Using remote sensing for seafloor topography and bathymetry mapping

Module #9
Water Quality Monitoring
Using remote sensing for water quality monitoring (e.g. chlorophyll, sediments)

Module #10
Phytoplankton and Algal Blooms
Using remote sensing for phytoplankton and algal bloom detection

Module #11
Marine Debris Detection
Using remote sensing for marine debris detection and monitoring

Module #12
Fisheries Management
Using remote sensing for fisheries management and monitoring

Module #13
Coastal Erosion and Shoreline Monitoring
Using remote sensing for coastal erosion and shoreline monitoring

Module #14
Ocean Currents and Circulation
Using remote sensing for ocean currents and circulation monitoring

Module #15
Sea Level Rise and Coastal Vulnerability
Using remote sensing for sea level rise and coastal vulnerability assessments

Module #16
Remote Sensing for Marine Conservation
Using remote sensing for marine conservation and protected area management

Module #17
Data Analysis and Integration
Methods for data analysis and integration with other data sources (e.g. field, model)

Module #18
Uncertainty and Validation
Addressing uncertainty and validation in remote sensing data and applications

Module #19
Cloud Computing and Big Data
Using cloud computing and big data analytics for remote sensing applications

Module #20
Machine Learning and AI
Using machine learning and AI for remote sensing data analysis and applications

Module #21
Case Studies in Marine Remote Sensing
Real-world applications and case studies of remote sensing in marine ecosystems

Module #22
Challenges and Limitations
Addressing challenges and limitations of remote sensing in marine ecosystems

Module #23
Future Directions and Emerging Trends
Emerging trends and future directions in remote sensing for marine ecosystems

Module #24
Practical Exercises and Project Development
Hands-on exercises and project development using remote sensing data and tools

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Remote Sensing for Marine Ecosystems career

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Remote Sensing for Marine Ecosystems ( 25 Modules )

Remote Sensing for Marine Ecosystems
( 25 Modules )