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!