CLOUD-BASED REMOTE SENSING WITH GOOGLE EARTH ENGINE
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  • About
  • Go to the book
    • Get the repo
    • Section F1: Programming and Remote Sensing Basics
    • Section F2: Interpreting Images
    • Section F3: Advanced Image Processing
    • Section F4: Interpreting Image Series
    • Section F5: Vectors and Tables
    • Section F6: Advanced Topics
    • Section A1: Human Applications
    • Section A2: Aquatic and Hydrological Applications
    • Section A3: Terrestrial Applications - Part 1
    • Section A3: Terrestrial Applications - Part 2.
  • Table of contents
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Book Sections and Chapters

Click on the sections below to access the book chapters

Part 1: Fundamentals

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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
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Section F2
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Interpreting Images
  • ​F2.0 Image Manipulation: Bands, Arithmetic, Thresholds, and Masks
  • F2.1 Interpreting an Image: Classification
  • F2.2 Accuracy Assessment: Quantifying Classification Quality
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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
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Section F4
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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
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Section F5
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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
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Section F6
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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

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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
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Section A2
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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
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Section A3
Terrestrial Applications

Part 1
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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
  • home
  • About
  • Go to the book
    • Get the repo
    • Section F1: Programming and Remote Sensing Basics
    • Section F2: Interpreting Images
    • Section F3: Advanced Image Processing
    • Section F4: Interpreting Image Series
    • Section F5: Vectors and Tables
    • Section F6: Advanced Topics
    • Section A1: Human Applications
    • Section A2: Aquatic and Hydrological Applications
    • Section A3: Terrestrial Applications - Part 1
    • Section A3: Terrestrial Applications - Part 2.
  • Table of contents
  • Videos
  • Translations
    • Français
    • español
  • Contact
  • User Map