Remote Sensing in QGIS: Basics of Satellite Image Analysis

Become proficient in applied Remote Sensing in QGIS & spatial analysis / project analysis & fundamental concepts in QGIS

Ratings 4.30 / 5.00

Remote Sensing in QGIS: Basics of Satellite Image Analysis

What You Will Learn!

Acquire a thorough understanding of satellite remote sensing principles
Learn how to apply satellite remote sensing principles in practice
Learn the most popular open-source GIS and Remote Sensing software tools (QGIS) and Semi-automated classification (SCP) plugin
Create your first GIS maps for your reports/presentations in QGIS
Learn how to obtain satellite data, apply Remote Sensing image preprocessing, create training and validation data in QGIS
Learn abouit open source Remote Sensing software tools and data portals
Apply Land use and Land Cover (LULC) Mapping and Change Detection in QGIS
Learn how to plan and practise to implement your first geospatial project based on Remote Sensing data
You'll have a copy of the practicals step-by-step manuals used in the course for your reference to use for your Remote Sensing analysis in QGIS
You'll also have plenty of handy hints and tips during this course for QGIS and Remote Sensing analysis

Description

Remote Sensing & Satellite Image Analysis for Beginners in QGIS

Are you eager to use satellite Remote Sensing but unsure how to apply it effectively? Have you found Remote Sensing materials too theoretical and lacking practical guidance? If so, our course is tailored for you. We'll guide you step by step, providing both essential concepts and hands-on experience in real-life Remote Sensing projects.

Course Highlights:

Practical Remote Sensing analysis in QGIS
Comprehensive theoretical knowledge
Real-world Remote Sensing project implementation
QGIS open-source software
Image preprocessing and spectral index calculation
Land use and land cover classification with Machine Learning
Change detection and GIS mapping
Independent project-based assignment

Course Focus:

This 4-hour fundamental course is designed to empower you with practical skills and theoretical knowledge in Remote Sensing. By course completion, you'll have a solid grasp of Remote Sensing concepts and be proficient in working with QGIS. You'll learn image preprocessing, spectral index calculation, land use and land cover classification using Machine Learning, change detection, and GIS mapping.

Why Choose This Course:

Unlike theoretical resources, this course bridges the gap between knowledge and application. We guide you through the practical aspects of Remote Sensing using QGIS, a popular open-source software. You'll gain the confidence to integrate satellite imagery into your work and projects.

What You'll Learn:

Basics of Remote Sensing
QGIS installation and utilization
Image preprocessing and spectral index calculation
Land use and land cover classification with Machine Learning
Change detection and GIS map creation
Independent Remote Sensing project assignment

Enroll Today:

This course is ideal for professionals, including geographers, programmers, social scientists, geologists, and anyone seeking to apply geospatial analysis and satellite Remote Sensing in QGIS. Whether you're new to Remote Sensing or want to enhance your skills, this course equips you with valuable knowledge and practical experience.

INCLUDED IN THE COURSE: Access precise instructions, downloadable materials, scripts, and datasets for practical exercises in geospatial analysis using QGIS. Enroll today and embark on your journey into the world of practical Remote Sensing!