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Satellite Remote Sensing Data Bootcamp With Opensource Tools

Master satellite remote sensing with open-source tools. Learn data analysis, preprocessing, and classification techniques.

Master satellite remote sensing with open-source tools. Learn data analysis, preprocessing, and classification techniques.

Dive into the world of satellite remote sensing with this comprehensive bootcamp using open-source tools. Starting with the basics, you'll explore various remote sensing data types and essential analysis tools like R and QGIS. The course covers optical remote sensing, including Landsat data handling and preprocessing techniques. You'll learn advanced topics such as texture indices, tasseled cap transformations, and dimension reduction using tools like GRASS GIS and ESA SNAP. The bootcamp also covers both supervised and unsupervised classification methods, integrating machine learning techniques. Finally, you'll explore Synthetic Aperture Radar (SAR) data, learning to preprocess and interpret active remote sensing information. This course is perfect for geospatial professionals, environmental scientists, and data analysts looking to enhance their remote sensing skills.

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Satellite Remote Sensing Data Bootcamp With Opensource Tools

This course includes

5 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,435

What you'll learn

  • Analyze different types of satellite remote sensing data

  • Preprocess optical data using atmospheric correction techniques

  • Classify remote sensing data using supervised and unsupervised methods

  • Handle SAR data, including preprocessing and speckle filtering

  • Apply band math and derive various indices from optical data

  • Use machine learning techniques for remote sensing classification

Skills you'll gain

remote sensing
satellite data
QGIS
R
GRASS GIS
ESA SNAP
Landsat
SAR
machine learning

This course includes:

35 Minutes PreRecorded video

3 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There are 6 modules in this course

This bootcamp offers a comprehensive introduction to satellite remote sensing data analysis using open-source tools. Students will learn about different types of remote sensing data, focusing on optical and Synthetic Aperture Radar (SAR) data. The course covers essential preprocessing techniques, including atmospheric correction and speckle filtering. Participants will explore various data analysis methods, such as band manipulation, vegetation indices, and dimension reduction. The curriculum also includes both supervised and unsupervised classification techniques, integrating machine learning concepts. By the end of the course, students will have hands-on experience with tools like QGIS, R, GRASS GIS, and ESA SNAP, enabling them to process, analyze, and interpret satellite remote sensing data effectively.

Introduction to Satellite Remote Sensing Data Analysis

Module 1 · 54 Minutes to complete

Introduction to Optical Remote Sensing Data

Module 2 · 33 Minutes to complete

Pre-Processing Optical Data

Module 3 · 42 Minutes to complete

The Many Uses of Optical Data

Module 4 · 40 Minutes to complete

Classification of Remote Sensing Satellite Data

Module 5 · 1 Hours to complete

Introduction to Active Remote Sensing Data: Synthetic Aperture Radar

Module 6 · 1 Hours to complete

Fee Structure

Payment options

Financial Aid

Instructor

Packt - Course Instructors
Packt - Course Instructors

10,749 Students

373 Courses

Enhancing IT Education Through Expert-Led Learning

Packt Course Instructors are dedicated to delivering high-quality educational content across a wide range of IT topics, offering over 5,000 eBooks and courses designed to improve student outcomes in technology-related fields. With a focus on practical knowledge, instructors leverage their industry expertise to create engaging learning experiences that help students grasp complex concepts and apply them effectively. The courses cover diverse subjects, from programming languages to advanced data analysis, ensuring that learners at all levels can find relevant resources to enhance their skills. Additionally, Packt emphasizes personalized learning paths and provides analytics tools for educators to monitor student engagement and success, making it a valuable partner in academic settings.

Satellite Remote Sensing Data Bootcamp With Opensource Tools

This course includes

5 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,435

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.