Big Geospatial Data Analysis with Google Earth Engine
What you'll 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
Requirements
- This course has no requirements.
Description
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.
Who this course is for:
- 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.
Instructor
- 3.9 Instructor Rating
- 1,635 Reviews
- 20,180 Students
- 18 Courses
I am a geospatial data scientist with 15 plus years of experience. I am a former NASA Earth and Space Science fellow. My research interests include remote sensing, big data and environmental change. More specifically, I am interested in applying big geospatial data, cloud computing and machine learning to solve complex environmental problems, especially land cover change, climate change, water resource, agriculture, and public health.