Now published on Springer! Downloadable ​for free as a pdf here!

Foreword

​by Rebecca Moore
​Director, Google Earth & Earth Engine

Introduction

Acknowledgements

Part 1: Fundamentals

Section F1
Programming and Remote Sensing Basics
  • ​F1.0 JavaScript and the Earth Engine API
  • F1.1 Exploring Images
  • F1.2 Survey of Raster Datasets
  • F1.3 The Remote Sensing Vocabulary
Section F2
​Interpreting Images
  • ​F2.0 Image Manipulation: Bands, Arithmetic, Thresholds, and Masks
  • F2.1 Interpreting an Image: Classification
  • F2.2 Accuracy Assessment: Quantifying Classification Quality
Section F3
Advanced Image Processing
  • ​F3.0 Interpreting an Image: Regression
  • F3.1 Advanced Pixel-based Image Transformation
  • F3.2 Neighborhood-based Image Transformation
  • F3.3 Object-based Image Analysis
Section F4
​Interpreting Image Series
  • ​F4.0 Filter, Map, Reduce
  • F4.1 Exploring Image Collections
  • F4.2 Aggregating Images for Time Series
  • F4.3 Clouds and Image Compositing
  • F4.4 Change Detection
  • F4.5 Interpreting Annual Time Series with LandTrendr
  • F4.6 Fitting Functions to Time Series
  • F4.7 Interpreting Time Series with CCDC
  • F4.8 Data Fusion: Merging Classification Streams
  • F4.9 Exploring Lagged Effects in Time Series
Section F5
​Vectors and Tables
  • ​F5.0 Exploring Vectors
  • F5.1 Raster/Vector Conversions
  • F5.2 Zonal Statistics
  • F5.3 Advanced Vector Operations
  • F5.4 GEEDiT: Digitising from satellite imagery
Section F6
​Advanced Topics
  • ​​F6.0 Advanced Raster Visualization
  • F6.1 Collaborating in Earth Engine with Scripts and Assets
  • F6.2 Scaling up in Earth Engine
  • F6.3 Sharing Work in Earth Engine: Basic UI and Apps
  • F6.4 Combining R and Earth Engine

Part 2: Applications

Section A1
Human Applications
  • ​A1.1 Agricultural Environments
  • A1.2 Urban Environments
  • A1.3 Built Environments
  • A1.4 Air pollution and population exposure
  • A1.5 Heat Islands
  • A1.6 Health Applications
  • A1.7 Humanitarian Applications
  • A1.8 Monitoring Gold Mining Activity using SAR
Section A2
​Aquatic and Hydrological Applications
  • ​A2.1 Groundwater monitoring with GRACE
  • A2.2 Benthic Habitats
  • A2.3 Surface Water Mapping
  • A2.4 River morphology
  • A2.5 Water Balance and Drought
  • A2.6 Defining Seasonality: First Date of No Snow
Section A3
Terrestrial Applications
Part 1
​Part 2
  • ​A3.1 Active fire monitoring
  • A3.2 Mangroves
  • A3.3 Mangroves II - Change Mapping
  • A3.4 Forest Degradation and Deforestation
  • A3.5 Deforestation Viewed from Multiple Sensors
  • A3.6 Working With GPS & Weather Data
  • A3.7 Creating Presence and Absence Points
  • A3.8 Detecting Land Cover Change in Rangelands
  • A3.9 Conservation I - Assessing the spatial relationship between burned area and precipitation
  • A3.10 Conservation II - Assessing Agricultural Intensification Near Protected Areas