Remote Sensing for Land Cover Mapping in Google Earth Engine from Udemy

Do you want to implement a land cover classification algorithm on the cloud?

Do you want to quickly gain proficiency in digital image processing and classification?

Do you want to become a spatial data scientist?

Enroll in this Remote Sensing for Land Cover Mapping in Google Earth Engine course and master land use land cover classification on the cloud.

In this course, we will cover the following topics:

Unsupervised Classification (Clustering)
Training Reference data
Supervised Classification with Landsat
Supervised Classification with Sentinel
Supervised Classification with MODIS
Change Detection Analysis (Water and Forest Change Analysis)
Global Land Cover Products (NLCD, Globe Cover, and MODIS Land Cover)

I will provide you with hands-on training with example data, sample scripts, and real-world applications.

By taking this course, you will take your spatial data science skills to the next level by gaining proficiency in processing satellite data, applying classification algorithms, and assessing classification accuracy using a confusion matrix. We will apply classification using various satellites including Landsat, MODIS, and Sentinel. When you are done with this course, you will master methods on how to apply machine learning and supervised classification algorithm using cloud computing and big geospatial data.

Jump in right now to enroll. To get started click the enroll button.

What's inside

Learning objectives

Learn to apply land use land cover classification using satellite data
Land use land cover change detection analysis
Perform accuracy assessment of land use classifications
Download, and process satellite images
Learn digital image processing

Digitize reference training data
Understand satellite image bands and spectral indices
Predict new land use land cover products
Access global land use land cover products

Learn to apply land use land cover classification using satellite data
Land use land cover change detection analysis
Perform accuracy assessment of land use classifications
Download, and process satellite images
Learn digital image processing
Digitize reference training data
Understand satellite image bands and spectral indices
Predict new land use land cover products
Access global land use land cover products

Syllabus

What is Earth Engine?

Welcome

Introduction to Earth Engine

Explore Earth Engine

JavaScript Code Editor

JavaScript Syntax

Code Editor

Unsupervised Classification

Assignment: Clustering

Training Reference Data

Supervised Classification with Landsat

Processing Landsat Data

Classification with Landsat

Confusion Matrix

Supervised Classification with Sentinel

Processing Sentinel Data

Classification with Sentinel

Supervised Classification with MODIS

Processing MODIS Data

Classification with MODIS

Change Detection Analysis

Water Change Analysis

Forest Change Analysis

Assignment: Water Change Analysis

Final Project

Bonus Lectures

Bonus

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops land cover classification using satellite data, which is core to remote sensing

Examines satellite data, a highly relevant topic in remote sensing

Builds a strong foundation for beginners in digital image processing

Provides hands-on labs and interactive materials for practical learning

Taught by Dr. Alemayehu Midekisa, who is recognized for their work in spatial data science

Uses cloud computing and big geospatial data, which are essential technologies in modern remote sensing

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 Remote Sensing for Land Cover Mapping in Google Earth Engine with these activities:

Create a Resource List

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Creating a resource list will help you to organize your learning materials and to make them more accessible.

Browse courses on Compilation

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Gather resources.
Organize the resources.
Share the resource list.

Review Earth Engine Concepts

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Beginning this course with a strong foundation in Earth Engine will help you build on concepts learned in the course and better process new information.

Browse courses on Remote Sensing

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Review the introductory materials on the Earth Engine website.
Complete the Earth Engine tutorials.
Explore the Earth Engine API documentation.

Participate in a Citizen Science Project

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Participating in a citizen science project will allow you to apply your skills to a real-world problem and to make a difference in your community.

Browse courses on Citizen Science

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Find a citizen science project that interests you.
Sign up to participate.
Collect data.
Submit your data.

Three other activities

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Show all six activities

Follow Earth Engine Tutorials

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Following along with Earth Engine tutorials will provide you with additional guidance and examples, helping you to better understand the concepts covered in this course.

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Find Earth Engine tutorials on the official website or YouTube.
Follow the steps in the tutorial.
Apply the techniques you learn to your own projects.

Practice Image Processing and Classification

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Completing regular practice drills will help you master the image processing and classification techniques taught in this course.

Browse courses on Image Processing

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Download sample satellite imagery.
Use Earth Engine to process and classify the imagery.
Evaluate the results of your classification.

Develop a Land Use Classification Project

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Working on a project will allow you to apply the skills you learn in this course to a real-world problem.

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Choose a study area.
Collect satellite imagery.
Preprocess the imagery.
Classify the land use.
Validate the classification.
Write a report on your findings.

Career center

Learners who complete Remote Sensing for Land Cover Mapping in Google Earth Engine will develop knowledge and skills that may be useful to these careers:

Remote Sensing Scientist

Remote Sensing Scientists use remote sensing to collect and analyze data on the Earth's surface. They use this data to study a variety of topics, such as land use, land cover, and environmental change. This course can help Remote Sensing Scientists develop the skills they need to use remote sensing to collect and analyze data on land use and land cover.

See salaries and explore the career path for Remote Sensing Scientist

Spatial Data Scientist

Spatial Data Scientists use spatial data to solve problems. They work with data that has a geographic component, such as data on land use, land cover, and environmental change. This course can help Spatial Data Scientists develop the skills they need to use spatial data to solve problems related to land use and land cover.

See salaries and explore the career path for Spatial Data Scientist

Land Use Planner

Land Use Planners develop plans for the use of land. They work with communities to identify the best way to use land, taking into account factors such as the environment, the economy, and the needs of the community. This course can help Land Use Planners develop the skills they need to use remote sensing to collect and analyze data on land use and land cover.

See salaries and explore the career path for Land Use Planner

Urban Planner

Urban Planners develop plans for the use of land in urban areas. They work with communities to identify the best way to use land, taking into account factors such as the environment, the economy, and the needs of the community. This course can help Urban Planners develop the skills they need to use remote sensing to collect and analyze data on land use and land cover.

See salaries and explore the career path for Urban Planner

GIS Analyst

GIS Analysts use geographic information systems (GIS) to map and analyze data. They use GIS to solve problems, such as finding the best location for a new business or determining the impact of a new road on the environment. This course can help GIS Analysts develop the skills they need to use GIS to solve problems related to land use and land cover.

See salaries and explore the career path for GIS Analyst

Natural Resources Manager

Natural Resources Managers oversee the management of natural resources, such as forests, water, and wildlife. They work to protect and conserve these resources, while also ensuring that they are used sustainably. This course can help Natural Resources Managers develop the skills they need to use remote sensing to collect and analyze data on natural resources.

See salaries and explore the career path for Natural Resources Manager

Water Resources Manager

Water Resources Managers oversee the management of water resources, such as rivers, lakes, and groundwater. They work to protect and conserve these resources, while also ensuring that they are used sustainably. This course can help Water Resources Managers develop the skills they need to use remote sensing to collect and analyze data on water resources.

See salaries and explore the career path for Water Resources Manager

Wildlife Biologist

Wildlife Biologists study wildlife and their habitats. They work to protect and conserve wildlife, while also ensuring that they are used sustainably. This course can help Wildlife Biologists develop the skills they need to use remote sensing to collect and analyze data on wildlife and their habitats.

See salaries and explore the career path for Wildlife Biologist

Environmental Scientist

Environmental Scientists use knowledge of the natural sciences to protect the environment and human health. They study environmental problems, such as pollution, and develop solutions to address them. This course can provide a foundation in remote sensing, which is used to collect and analyze data on the environment. This data can be used to monitor environmental change, assess the impact of human activities on the environment, and develop policies to protect the environment.

See salaries and explore the career path for Environmental Scientist

Environmental Engineer

Environmental Engineers design and implement solutions to environmental problems. They work with businesses, governments, and other organizations to develop solutions to problems such as pollution, climate change, and waste management. This course may provide a foundation in remote sensing, which can be used to collect and analyze data on environmental problems.

See salaries and explore the career path for Environmental Engineer

Geographer

Geographers study the Earth's surface and its human and physical features. They work with a variety of data, including remote sensing data, to understand the Earth's surface and how it is changing. This course may provide a foundation in remote sensing, which can help Geographers collect and analyze data on the Earth's surface.

See salaries and explore the career path for Geographer

Hydrologist

Hydrologists study water and its movement. They work with a variety of data, including remote sensing data, to understand water resources and how they are changing. This course may provide a foundation in remote sensing, which can help Hydrologists collect and analyze data on water resources.

See salaries and explore the career path for Hydrologist

Meteorologist

Meteorologists study the atmosphere and its weather patterns. They work with a variety of data, including remote sensing data, to understand the atmosphere and how it is changing. This course may provide a foundation in remote sensing, which can help Meteorologists collect and analyze data on the atmosphere.

See salaries and explore the career path for Meteorologist

Forestry Technician

Forestry Technicians assist foresters in managing forests. They work with foresters to develop and implement plans for the management of forests, and they also collect data on forests. This course may provide a foundation in remote sensing, which can be used to collect and analyze data on forests.

See salaries and explore the career path for Forestry Technician

Oceanographer

Oceanographers study the oceans and their physical, chemical, and biological properties. They work with a variety of data, including remote sensing data, to understand the oceans and how they are changing. This course may provide a foundation in remote sensing, which can help Oceanographers collect and analyze data on the oceans.

See salaries and explore the career path for Oceanographer