Lab Sign up for Google Earth Engine

Why to work with Google Earth Engine

Interface of Google Earth Engine Code Editor & Explorer

Introduction

Difference between sensors and platforms

Introduction to raster data (satellite images)

Introduction to Landstat Program of NASA

Introduction to Sentinel Program of ESA

Extra lecture Using cloud platform for spectral indices & land cover analysis

Overview of datasets in Earth Engine

Lab Introduction to JavaScript

JavaScript - get started!

Section 4 Practical Task

Lab Image visualisation

Lab Mapping and Reducing Collection - Landsat Example

Lab Working with image collections and image visualization

Introduction to image data Landsat

Lab Image Calculations Part 2 - Create a composite and calculate NDVI

Lab Image Calculations Part 1 - Single Image Calculations

Lab Calculate Zonal Statistics in Earth Engine

Lab Short introduction to functions - Maximum NDVI Example

Lab How to map a function over an image collection Example of Landsat and NDVI

Lab How to change default names for output image collection

Lab Export image data from Google Earth Engine an Introduction

Lab Importing ratser and vector files into Google Earth Engine

Section 6 - Practical Task

Lab Image mosaicking, clipping, reprojection and exporting as tiff to Drive

How to work with spatial data and remote sensing images - theory

Lab Image preprocessing - Cloud masking of Sentinel 2 images

Lab Flood Mapping with Sentinel-2 and NDWI

Lab Iterating function over Image Collection - Example of Drought Monitoring

Your Project - Flood Mapping

Normalized Difference Water Index for flood monitoring - thoery

Introduction Machine Learning

Land use land cover mapping - overview

Unsupervised Image Classification and Image Compositing

Task Image Classification

Supervised classification with Google Earth Engine (explorer)

Time Series Trend Analysis with Linear Regression Get Started

Supervised land use mapping with Google Earth Engine and Random Forest

BONUS