TCECIR

Managing land use and the Earth’s resources and facing global challenges is becoming increasingly important due to the rising world population, economic growth, environmental degradation, and climate change, among others.

The use of available, up-to-date, accurate and well-structured geoinformation is essential for applying various applications and utilizing the data to face global challenges and reach optimal solutions. Thus, planners, resource managers and application scientists now make considerable use of frequently acquired high and medium-resolution multispectral images. Multispectral images are captured from various space-borne and airborne sensors, as well as innovative platforms such as drones and 3D point clouds acquired with modern techniques such as laser scanners.

It is therefore essential to build capacity on how to extract both thematic and 3D geoformation from different sensors or scanners in automated and semi-automated processing environments which are continuously under development.

Target Participants: This course is primarily meant to train working professionals like Cartographers, Land surveyors, Town Planners, experts in Agriculture, Engineers, Environmental scientist etc

Course Objectives

Participants will be able to:

• Select appropriate sensors and image data for geospatial problem solving
• Apply relevant contrast enhancement for visual and digital image analysis
• Apply spatial and temporal filters to improve image data for visual and digital image analysis
• Calculate indices and ratios for digital image analysis
• Apply different strategies for generating training and validation samples for supervised machine learning classifiers
• Critically interpret the classification results obtained by applying supervised machine learning classifiers
• Process the multispectral drone images using the designated software

Course Content/Outline (3 credit units per topic-1hr lecture and 2hrs practical)

• Wk 1: Fundamentals of remote sensing-energy sources and radiation principles, electromagnetic spectrum, energy interaction in the atmosphere and on the earth surface
• Wk 1: Types of remote sensing-space borne and airborne remote sensing
• Wk 2: Remote sensing platforms (e. g aircraft, satellite), imaging systems and their capabilities
• Wk 2: Digital image processing-image restoration, image enhancement and image classification/thematic information Extraction
• Wk 3: Remote sensing applications
• Wk 4: Artificial Intelligence in Remote Sensing

Expected Outcome

Upon completion, the participants will be able to use remote sensing and GIS techniques in their future research work/projects.

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