Remote Sensing for Forest Mapping in Google Earth Engine

Description

Welcome to the Remote Sensing for Forest Mapping in Google Earth Engine course.

This Earth Engine course is without a doubt the most comprehensive course for anyone who wants to apply remote sensing in forest cover mapping and monitoring. Even if you have zero programming experience, this course will take you from beginner to mastery.

Here's why:

• The course is taught by an experienced spatial data scientist and former NASA fellow.

• The course has been updated to be 2023-ready and you'll be learning the latest tools available on the cloud.

• We've taught over 16,000 students how to code and apply spatial data science and cloud computing.

• The course is constantly updated with new content, new projects, and modules.

• You will have access to example data and sample scripts.

In this course, we will cover the following topics:

• Introduction to Earth Engine JavaScript API

• Explore Earth Engine

• Sign Up with Earth Engine

• Basic JavaScript Syntax

• Global Forest and Non-forest Mapping Using SAR Data

• Global Forest Cover Mapping using the Hansen Data

• Forest Cover Map for Gabon

• Forest Cover Gain and Loss for Gabon

• Calculate the Area of Forest Cover Gain and Loss for Gabon

• MODIS Burned Area

• Forest Fire Map in California

• NBRT Burn Ratio Map

• Net Primary Productivity (NPP) Map

  
  

The course includes HD video tutorials. We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to apply remote sensing and cloud computing for forest monitoring applications.

So, what are you waiting for? Click the buy now button and join the course.

TAKE THIS COURSE