Forest Mapping in Earth Engine Python API and Colab

What you'll learn
Download, process and visualize various satellite data for forest monitoring application
Understand the advantages of using satellites for forest monitoring
Calculate Forest cover gain and loss using satellite data
Map global forest cover using SAR data

Requirements
This course has no requirement.
Description
Welcome to the Forest Mapping in Google Earth Engine Python API and Colab 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 2021 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.

You will have access to example data and sample scripts.

In this course we will cover the following topics:

Introduction to Earth Engine Python API

Explore Earth Engine Python API

Sign Up with Earth Engine

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 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 application.

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

Who this course is for:
This course is meant for professionals who want to apply remote sensing data for forest mapping and monitoring.
Anyone who wants to learn remote sensing for forest applications.