Fundamentals of Remote Sensing and Geospatial Analysis from Udemy

Do you find that other remote sensing courses are too short and vague, and do not prepare you for real world problems? Are you looking for a course that goes IN-DEPTH and teaches you all the fundamentals of remote sensing?

My course provides a solid foundation to carry out practical, real life remote sensing spatial data analysis and gives you the techniques and knowledge to tackle a variety of geological and environmental problems.

This course provides an introduction to remote sensing - the acquisition of information about the earth from a distance, typically via airborne and spaceborne sensors. The abundance of earth observation data allows us to address many pressing environmental, geographical, and geological issues. This course will prepare the students for the basics of using remote sensing data.

Students will have a solid understanding of the physical principles of remote sensing, including electromagnetic (EM) radiation concepts, and will also explore in detail the interaction of EM radiation with the atmosphere, water, vegetation, minerals, and other land types from a remote sensing perspective. We will go over various industries where remote sensing can be used including agriculture, geology, mining, hydrology, forestry, environmental, and many more.

The students will also learn about current satellite sensor platforms for remote sensing analysis including passive senors, synthetic aperture radar, and LiDAR. In addition to learning the basic concepts, terminology, and theories in remote sensing science and application, they will also learn the accurate steps for pre-processing images including radiometric and atmospheric correction techniques.

Lastly, we will look at how to interpret spectral characteristics from different materials and how to create their own basic equation for using remote sensing images on their own projects in the future.

Enroll in my course today. I want your experience with this course to be a success but more importantly prepare and give you the knowledge for using remote sensing in the real world.

What's inside

Learning objectives

Acquire a thorough knowledge of remote sensing principles
Spectral signatures
Steps and knowledge of pre-processing satellite images: geometric, radiometric, atmospheric corrections
Get familiarized with present satellite remote sensing platforms
How to create basic custom algorithms for any material being investigated

Understand the physics of em radiation
Geospatial data access and software
Understand the physical principles behind the interaction of em radiation and multiple types of land cover (vegetation, water, minerals, rocks, etc.)
Understand how atmospheric components can affect a signal recorded by remote sensing platforms and how to correct for them

Acquire a thorough knowledge of remote sensing principles
Spectral signatures
Steps and knowledge of pre-processing satellite images: geometric, radiometric, atmospheric corrections
Get familiarized with present satellite remote sensing platforms
How to create basic custom algorithms for any material being investigated
Understand the physics of em radiation
Geospatial data access and software
Understand the physical principles behind the interaction of em radiation and multiple types of land cover (vegetation, water, minerals, rocks, etc.)
Understand how atmospheric components can affect a signal recorded by remote sensing platforms and how to correct for them

Syllabus

Introduction

What is Remote Sensing?

Applications for Remote Sensing

Electromagnetic Spectrum

Light and Electromagnetic Spectrum

Covers lectures 1-3

Light Interactions

Atmosphere and Surface Interactions with EM Radiation

Rayleigh and Mie Scattering

Sensors

Passive vs Active Sensors

Multispectral vs Hyperspectral

Spectral Signatures

Covers lectures 4-8

LiDAR Technology

Remote Sensing Resolutions

Main Resolution Types

Satellite Platforms

Satellite Sensors

Covers lectures 9 and 10

Research and summarize a sensor of your choice

Remote Sensing Corrections (Pre-Processing)

Digital Numbers and Geometric Calibration

Radiometric Calibration

Atmospheric Corrections

Covers Lectures 11-13

Classification

Classification of Features

Spectral Signature Analysis

Vegetation

Geological Spectral Signatures

Custom Ratios

Covers lectures 14-17

Remote Sensing Software and Data Access

Software for Remote Sensing and Data Access

Fundamentals of Remote Sensing Cheat Sheet and Reference Guide

Remote Sensing Cheat Sheet and Reference Guide

Test your Understanding of Remote Sensing Principles

Bonus Lecture

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Provides a comprehensive overview of the fundamentals of remote sensing, giving you a strong foundation for further study or professional practice

Taught by experienced instructors with real-world expertise in geology and environmental science, giving you access to cutting-edge knowledge

Covers a wide range of topics, from the electromagnetic spectrum to satellite platforms and data access, providing you with a well-rounded understanding

Provides hands-on experience with pre-processing satellite images, giving you the practical skills you need for real-world applications

Requires a basic understanding of physics and mathematics, so it may not be suitable for complete beginners in these subjects

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Fundamentals of Remote Sensing and Geospatial Analysis with these activities:

Review Spectral Signatures

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Refresh and reinforce your understanding of spectral signatures, which are key to identifying and classifying objects and materials using remote sensing data.

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Reread the sections on spectral signatures from the course materials.
Review online resources and videos on spectral signatures.
Practice identifying spectral signatures of different materials using online tools or software.

GIS Software Tutorial

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Gain proficiency in a GIS (Geographic Information System) software to analyze and visualize remote sensing data.

Browse courses on Geospatial Data Analysis

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Choose a GIS software such as ArcGIS, QGIS, or Google Earth Engine.
Locate tutorials and online resources for the chosen software.
Follow the tutorials to learn basic and advanced GIS operations.
Apply your newfound GIS skills to analyze remote sensing data.

Interpret Satellite Images

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Enhance your ability to interpret satellite images and extract meaningful information from them.

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Obtain satellite images from NASA's EarthData or other data providers.
Use image processing software or online tools to adjust and enhance the images.
Identify and label different features and land cover types in the images.
Compare your interpretations with reference data or other sources.

Five other activities

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Discussion Forum Participation

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Connect with fellow learners and engage in discussions to enhance your understanding of course concepts and expand your perspectives.

Browse courses on Remote Sensing

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Join the online discussion forums for the course.
Actively participate in discussions by asking thoughtful questions.
Provide well-informed responses to others' questions.

Remote Sensing Literature Review

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Deepen your understanding of remote sensing by compiling and reviewing relevant literature to stay updated on current research and advancements.

Browse courses on Remote Sensing

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Identify and gather research papers and articles related to your area of interest in remote sensing.
Read and synthesize the literature, extracting key findings and insights.
Organize and present your findings in a cohesive literature review.

Create a Remote Sensing Report

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Deepen your understanding of remote sensing principles and applications by writing a comprehensive report on a relevant topic.

Browse courses on Remote Sensing

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Choose a topic related to remote sensing that interests you.
Research and gather data from reliable sources.
Analyze the data and draw meaningful conclusions.
Write a well-organized and informative report presenting your findings.

Remote Sensing Project

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Engage in a hands-on project that allows you to apply your remote sensing knowledge and skills to solve real-world problems.

Browse courses on Remote Sensing

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Define the scope and objectives of your project.
Collect and process remote sensing data relevant to your project.
Analyze the data and extract meaningful insights.
Develop and implement solutions or recommendations based on your findings.

Remote Sensing Challenge

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Put your skills to the test and compete with others in a remote sensing challenge to showcase your abilities and gain recognition.

Browse courses on Remote Sensing

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Identify and register for relevant remote sensing challenges or competitions.
Form a team or work independently on the challenge.
Apply your knowledge and skills to solve the challenge.
Submit your solution and compete for recognition.

Career center

Learners who complete Fundamentals of Remote Sensing and Geospatial Analysis will develop knowledge and skills that may be useful to these careers:

Remote Sensing Analyst

Remote Sensing Analysts use remote sensing data to study the Earth's surface. Remote Sensing Analysts use a variety of techniques to analyze remote sensing data, including image processing, spectral analysis, and classification. The Fundamentals of Remote Sensing and Geospatial Analysis course may provide a useful foundation for those who wish to become Remote Sensing Analysts.

See salaries and explore the career path for Remote Sensing Analyst

Photogrammetrist

Photogrammetrists use remote sensing data to create maps and other representations of the Earth's surface. Photogrammetrists use a variety of techniques to create maps, including aerial photography, satellite imagery, and LiDAR data. The Fundamentals of Remote Sensing and Geospatial Analysis course may be useful to Photogrammetrists, providing a foundation in the principles of remote sensing and how it can be used to create maps and other representations of the Earth's surface.

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Cartographer

Cartographers create maps and other representations of the Earth's surface. Cartographers use a variety of techniques to create maps, including remote sensing, which allows them to collect data about the Earth's surface from a distance. The Fundamentals of Remote Sensing and Geospatial Analysis course may be useful to Cartographers, providing a foundation in the principles of remote sensing and how it can be used to collect data about the Earth's surface.

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GIS Analyst

GIS Analysts use Geographic Information Systems (GIS) to analyze spatial data. GIS Analysts use a variety of techniques to analyze spatial data, including remote sensing, which allows them to collect data about the Earth's surface from a distance. The Fundamentals of Remote Sensing and Geospatial Analysis course may be useful to GIS Analysts, providing a foundation in the principles of remote sensing and how it can be used to collect data about the Earth's surface.

See salaries and explore the career path for GIS Analyst

Geologist

Geologists study the structure and composition of the Earth, and the processes that have shaped it over time. Geologists use a variety of techniques to study the Earth, including remote sensing, which allows them to collect data about the Earth's surface from a distance. The Geological Spectral Signatures section of the Fundamentals of Remote Sensing and Geospatial Analysis course may be particularly relevant to Geologists.

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Hydrologist

Hydrologists study the movement and distribution of water on, above, and below the surface of the Earth. Hydrologists use a variety of techniques to study water, including remote sensing, which allows them to collect data about water bodies from a distance. The Fundamentals of Remote Sensing and Geospatial Analysis course may be helpful to Hydrologists, particularly the sections on the interaction of EM radiation with water and atmospheric corrections.

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Oceanographer

Oceanographers study the oceans, including their physical, chemical, and biological properties. Oceanographers use a variety of techniques to study the oceans, including remote sensing, which allows them to collect data about the oceans from a distance. The Fundamentals of Remote Sensing and Geospatial Analysis course may be helpful to Oceanographers, particularly the sections on the interaction of EM radiation with water and atmospheric corrections.

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Soil Scientist

Soil Scientists study the physical, chemical, and biological properties of soil. Soil Scientists use a variety of techniques to study soil, including remote sensing, which allows them to collect data about soil from a distance. The Fundamentals of Remote Sensing and Geospatial Analysis course may be useful to Soil Scientists, particularly the sections on the interaction of EM radiation with soil and spectral signatures.

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Land Surveyor

Land Surveyors measure and map the Earth's surface, and establish property boundaries. Land Surveyors use a variety of techniques to survey the land, including remote sensing, which allows them to collect data about the Earth's surface from a distance. The fundamentals of remote sensing can be useful to Land Surveyors, helping them to understand the principles of remote sensing and how it can be used to collect data about the Earth's surface.

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Water Resource Manager

Water Resource Managers manage water resources, including water quality and quantity. Water Resource Managers use a variety of techniques to manage water resources, including remote sensing, which allows them to collect data about water resources from a distance. The Fundamentals of Remote Sensing and Geospatial Analysis course may be useful to Water Resource Managers, particularly the sections on the interaction of EM radiation with water and atmospheric corrections.

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Meteorologist

Meteorologists study the atmosphere and the weather. They use a variety of techniques to study the atmosphere, including remote sensing, which allows them to collect data about the atmosphere from a distance. The Fundamentals of Remote Sensing and Geospatial Analysis course may be useful to Meteorologists, particularly the sections on the interaction of EM radiation with the atmosphere.

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Environmental Engineer

Environmental Engineers design and implement solutions to environmental problems. Environmental Engineers use a variety of techniques to design and implement solutions to environmental problems, including remote sensing, which allows them to collect data about the environment from a distance. The Fundamentals of Remote Sensing and Geospatial Analysis course may be helpful to Environmental Engineers, providing a foundation in the principles of remote sensing and how it can be used to collect data about the environment.

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Geographer

Geographers study the physical features of the Earth, including its climate, soil, vegetation, and water resources. Geographers also study the distribution of human populations and the ways in which humans interact with their environment. A background in remote sensing can provide Geographers with valuable tools for studying the Earth's surface, including land use, land cover, and environmental change.

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Environmental Scientist

Environmental Scientists perform environmental assessments, conduct research, and analyze data in order to mitigate the effects of human activity on the environment. This may involve studying pollution, ecosystem health, and climate change, and proposing policy solutions. An understanding of remote sensing from the Fundamentals of Remote Sensing and Geospatial Analysis course, particularly when it comes to detecting and mapping changes in land use, water quality, and vegetation cover, may be useful in supporting environmental science research and monitoring efforts.

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Urban Planner

Urban Planners plan and design cities and towns. Urban Planners use a variety of techniques to plan and design cities and towns, including remote sensing, which allows them to collect data about the urban environment from a distance. The Fundamentals of Remote Sensing and Geospatial Analysis course may be useful to Urban Planners, particularly the sections on the interaction of EM radiation with urban materials and land use classification.

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