A satellite image of the Earth.
Seeing Beyond Borders

Remote Sensing

RemoteSensing
TechSkills
EnvironmentalMonitoring
DataVisualization
CapacityBuilding
GeospatialAnalysis
EarthObservation
TechInnovation
LocationOnline
Duration1 week
GroupTechnical
CertificateKNUST

Course Overview

This course provides participants with an understanding of remote sensing principles, techniques, and applications. Participants will learn how to acquire, process, and analyse remote sensing data to extract valuable information about the Earth's surface and atmosphere. Through lectures, hands-on exercises, and practical projects, participants will develop the skills necessary to use remote sensing technologies for various environmental and geospatial applications.

Course Modules

Introduction to Remote Sensing

Remote Sensing Data Acquisition

Image Interpretation and Analysis

Digital Elevation Models (DEMs) and LiDAR

Remote Sensing Applications in Environmental Monitoring

Natural Resource Management

Remote Sensing in Disaster Management

Remote Sensing in Climate Change Studies

Remote Sensing and Geographic Information Systems (GIS) Integration

Case Studies and Practical Projects

What You Will Learn

Master Remote Sensing Principles

Master the principles and applications of remote sensing technology.

Analyze Data

Learn to analyze and interpret remote sensing data.

Use Remote Sensing Tools

Develop skills in using remote sensing tools and software.

Case Studies

Explore case studies of successful remote sensing projects.

Environmental Applications

Gain insights into applications in environmental monitoring and management.

Expert Engagement

Engage with experts in remote sensing and geospatial analysis.

Conduct Spatial Analysis

Enhance your ability to conduct spatial analysis and mapping.

Validate Expertise

Receive a certificate to validate your expertise in remote sensing.

A person analyzing charts and graphs on a computer screen.
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Master Analysis Techniques

This course provides participants with practical skills in data analysis using two widely used statistical software packages, SPSS and STATA. Participants will learn how to import, clean, analyse, and visualize data using both SPSS and STATA. Through hands-on exercises and real-world examples, participants will develop proficiency in conducting various statistical analyses and interpreting results.

A security professional monitoring screens.
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Effective Security Principles

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A map with geographic data overlays.
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Master GIS Principles

This course provides participants with a comprehensive understanding of Geographic Information Systems (GIS), including principles, techniques, and applications. Participants will learn how to use GIS software to capture, store, analyse, and visualise spatial data for various purposes. Through lectures, hands-on exercises, and practical projects, participants will develop the skills necessary to work with geospatial data and solve real-world problems.