Big Geospatial Data Analysis with Google Earth Engine
Big Geospatial Data Analysis with Google Earth Engine, available at $64.99, has an average rating of 3.95, with 26 lectures, 3 quizzes, based on 170 reviews, and has 1031 subscribers.
You will learn about Download varies satellite data for free Students will access and sign up the Google Earth Engine platform Apply Remote Sensing and GIS techniques to process and analyze various vector data Generate various visualizations including time series and histogram charts from remote sensing data Learn to access and analyze various satellite data including MODIS, Sentinel and Landsat Visualize Time Series images Extract information from satellite data This course is ideal for individuals who are This course is meant for professionals who want to harness the power Google Earth Engine cloud computing platform. or People who want to understand various satellite image processing techniques. or Anyone who wants to learn accessing visualizing and extracting information from satellites. or People who are working with satellite remote sensing data such as Landsat, MODIS, and Sentinel-2. or Anyone who wants to apply for GIS or Remote Sensing Specialist job position. It is particularly useful for This course is meant for professionals who want to harness the power Google Earth Engine cloud computing platform. or People who want to understand various satellite image processing techniques. or Anyone who wants to learn accessing visualizing and extracting information from satellites. or People who are working with satellite remote sensing data such as Landsat, MODIS, and Sentinel-2. or Anyone who wants to apply for GIS or Remote Sensing Specialist job position.
Enroll now: Big Geospatial Data Analysis with Google Earth Engine
Summary
Title: Big Geospatial Data Analysis with Google Earth Engine
Price: $64.99
Average Rating: 3.95
Number of Lectures: 26
Number of Quizzes: 3
Number of Published Lectures: 26
Number of Published Quizzes: 3
Number of Curriculum Items: 29
Number of Published Curriculum Objects: 29
Original Price: $74.99
Quality Status: approved
Status: Live
What You Will Learn
- Download varies satellite data for free
- Students will access and sign up the Google Earth Engine platform
- Apply Remote Sensing and GIS techniques to process and analyze various vector data
- Generate various visualizations including time series and histogram charts from remote sensing data
- Learn to access and analyze various satellite data including MODIS, Sentinel and Landsat
- Visualize Time Series images
- Extract information from satellite data
Who Should Attend
- This course is meant for professionals who want to harness the power Google Earth Engine cloud computing platform.
- People who want to understand various satellite image processing techniques.
- Anyone who wants to learn accessing visualizing and extracting information from satellites.
- People who are working with satellite remote sensing data such as Landsat, MODIS, and Sentinel-2.
- Anyone who wants to apply for GIS or Remote Sensing Specialist job position.
Target Audiences
- This course is meant for professionals who want to harness the power Google Earth Engine cloud computing platform.
- People who want to understand various satellite image processing techniques.
- Anyone who wants to learn accessing visualizing and extracting information from satellites.
- People who are working with satellite remote sensing data such as Landsat, MODIS, and Sentinel-2.
- Anyone who wants to apply for GIS or Remote Sensing Specialist job position.
Do you want to access satellite sensors?
Do you want to visualize big Earth observation Remote Sensing GIS data?
Do you want to extract information from satellite sensors?
Enroll in my new course Big Geospatial Data Analysis with Google Earth Engine.
I will provide you with hands-on training with examples of GIS and Remote Sensing data, sample scripts, and real-world applications. By taking this course, you will take your geospatial data science skills to the next level by gaining proficiency in accessing satellite sensors, visualizing big Earth observation data,and extracting information from satellite data.
In this Big Geospatial Data Analysis with Google Earth Engine course, I will help you get up and running on the Earth Engine cloud platform access satellites, visualize big data, and extract information from satellites.
By the end of this course, you will be equipped with a set of new skills including accessing, downloading, visualizing big data, and extracting information.
In this course, I will use real satellite data including Landsat, MODIS, Sentinel-2, and others to provide you a hands-on practical experience of working with Earth observation data.
One of the common problems with learning image processing is the high cost of software. In this course, I entirely use the Google Earth Engine JavaScript open-source cloud platform. Additionally, I will walk you through using a step by step video tutorials to process and analyze GIS and Remote Sensing data with GEE. All sample data and scripts will be provided to you as an added bonus throughout the course.
Jump in right now to enroll. To get started click the enroll button.
Course Curriculum
Chapter 1: Explore Earth Engine API
Lecture 1: Welcome
Lecture 2: Introduction to Earth Engine
Lecture 3: Explore Earth Engine
Lecture 4: Sign Up with Earth Engine
Lecture 5: Code Editor
Lecture 6: JavaScript Syntax
Chapter 2: Big Earth Observation Data
Lecture 1: Earth Observation Satellites
Lecture 2: Landsat Satellite Image
Lecture 3: Cloud Mask Landsat Satellite Image
Lecture 4: Sentinel Satellite Image
Lecture 5: MODIS Image
Chapter 3: Visualization of Satellite Data
Lecture 1: Map Rainfall
Lecture 2: Map LST
Lecture 3: Map NDVI
Lecture 4: Map EVI
Lecture 5: Map Nighttime Light
Lecture 6: Map Land Cover
Chapter 4: Plot Monthly Time Series
Lecture 1: Plot Rainfall Time Series
Lecture 2: Plot LST Time Series
Lecture 3: Plot NDVI Time Series
Lecture 4: Plot EVI Time Series
Chapter 5: Extract Monthly Time Series
Lecture 1: Extract Monthly Rainfall
Lecture 2: Extract Monthly LST
Lecture 3: Extract Monthly NDVI
Lecture 4: Extract Monthly EVI
Chapter 6: Bonus Lectures
Lecture 1: Bonus
Instructors
-
Dr. Alemayehu Midekisa
Geospatial Data Scientist
Rating Distribution
- 1 stars: 4 votes
- 2 stars: 9 votes
- 3 stars: 24 votes
- 4 stars: 42 votes
- 5 stars: 91 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
You may also like
- Top 10 Video Editing Courses to Learn in November 2024
- Top 10 Music Production Courses to Learn in November 2024
- Top 10 Animation Courses to Learn in November 2024
- Top 10 Digital Illustration Courses to Learn in November 2024
- Top 10 Renewable Energy Courses to Learn in November 2024
- Top 10 Sustainable Living Courses to Learn in November 2024
- Top 10 Ethical AI Courses to Learn in November 2024
- Top 10 Cybersecurity Fundamentals Courses to Learn in November 2024
- Top 10 Smart Home Technology Courses to Learn in November 2024
- Top 10 Holistic Health Courses to Learn in November 2024
- Top 10 Nutrition And Diet Planning Courses to Learn in November 2024
- Top 10 Yoga Instruction Courses to Learn in November 2024
- Top 10 Stress Management Courses to Learn in November 2024
- Top 10 Mindfulness Meditation Courses to Learn in November 2024
- Top 10 Life Coaching Courses to Learn in November 2024
- Top 10 Career Development Courses to Learn in November 2024
- Top 10 Relationship Building Courses to Learn in November 2024
- Top 10 Parenting Skills Courses to Learn in November 2024
- Top 10 Home Improvement Courses to Learn in November 2024
- Top 10 Gardening Courses to Learn in November 2024