Geospatial Data Analyses & Remote Sensing: 5 Courses in 1

Description

Geospatial Analyses & Remote Sensing : from Beginner to Pro

Are you struggling to create GIS or satellite imagery-based maps for your Remote Sensing or GIS project? Do terms like Remote Sensing object-based image analysis, machine learning, QGIS, or Google Earth Engine sound daunting? Are you seeking a practical course that guides you through the concepts and helps you embark on real-life GIS mapping projects?

Welcome to our Practical Geospatial Masterclass, combining the content of four separate courses into one comprehensive learning experience. With over nine hours of video content, hands-on exercises, and downloadable materials, this course equips you with the knowledge and skills required for practical geospatial analysis. You'll learn to perform tasks such as land use and land cover mapping, change detection, machine learning for GIS, data manipulation, and map creation, all using popular and FREE software tools.

Course Highlights:

• Comprehensive theoretical and practical geospatial knowledge

• Application of Machine Learning in GIS and Remote Sensing

• Land use and land cover mapping

• Object-based image analysis

• Data processing and map creation

• Practical exercises with QGIS and Google Earth Engine

Course Focus:

This masterclass is designed to empower you with both theoretical and practical geospatial analysis skills, covering Remote Sensing, Geographic Information Systems (GIS), and Machine Learning applications in GIS and Remote Sensing technology. By course completion, you'll have a strong understanding of Remote Sensing and GIS fundamentals, Machine Learning applications in geospatial tasks, and the use of Machine Learning algorithms for land use and land cover mapping and object-based image analysis. Additionally, you'll be well-prepared to perform geospatial and Remote Sensing analysis using open source and free software tools.

What You'll Learn:

• Practical use of Machine Learning algorithms in QGIS

• Downloading and processing satellite imagery

• Supervised and unsupervised learning

• Accuracy assessment and change detection

• Object-based image analysis

• Cloud computing and Big Data analysis using Google Earth Engine

Who Should Enroll:

This course is ideal for professionals including geographers, programmers, social scientists, geologists, GIS & Remote Sensing experts, and anyone seeking to enhance their GIS and Remote Sensing skills. Whether you're a novice or looking to advance your knowledge in Machine Learning for GIS and Remote Sensing, this course provides the confidence and skills needed to tackle geospatial challenges.

INCLUDED IN THE COURSE: Gain access to precise instructions, downloadable practical materials, scripts, and datasets for hands-on geospatial analysis using QGIS and Google Earth Engine. Enroll today to unlock the power of practical geospatial analysis!

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