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Cloud-Based Remote Sensing with Google Earth Engine

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Cover of 'Cloud-Based Remote Sensing with Google Earth Engine'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 JavaScript and the Earth Engine API
  3. Altmetric Badge
    Chapter 2 Exploring Images
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    Chapter 3 Survey of Raster Datasets
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    Chapter 4 The Remote Sensing Vocabulary
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    Chapter 5 Image Manipulation: Bands, Arithmetic, Thresholds, and Masks
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    Chapter 6 Interpreting an Image: Classification
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    Chapter 7 Accuracy Assessment: Quantifying Classification Quality
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    Chapter 8 Interpreting an Image: Regression
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    Chapter 9 Advanced Pixel-Based Image Transformations
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    Chapter 10 Neighborhood-Based Image Transformation
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    Chapter 11 Object-Based Image Analysis
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    Chapter 12 Filter, Map, Reduce
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    Chapter 13 Exploring Image Collections
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    Chapter 14 Aggregating Images for Time Series
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    Chapter 15 Clouds and Image Compositing
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    Chapter 16 Change Detection
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    Chapter 17 Interpreting Annual Time Series with LandTrendr
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    Chapter 18 Fitting Functions to Time Series
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    Chapter 19 Interpreting Time Series with CCDC
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    Chapter 20 Data Fusion: Merging Classification Streams
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    Chapter 21 Exploring Lagged Effects in Time Series
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    Chapter 22 Exploring Vectors
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    Chapter 23 Raster/Vector Conversions
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    Chapter 24 Zonal Statistics
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    Chapter 25 Advanced Vector Operations
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    Chapter 26 GEEDiT—Digitizing from Satellite Imagery
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    Chapter 27 Advanced Raster Visualization
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    Chapter 28 Collaborating in Earth Engine with Scripts and Assets
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    Chapter 29 Scaling up in Earth Engine
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    Chapter 30 Sharing Work in Earth Engine: Basic UI and Apps
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    Chapter 31 Combining R and Earth Engine
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    Chapter 32 Agricultural Environments
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    Chapter 33 Urban Environments
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    Chapter 34 Built Environments
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    Chapter 35 Air Pollution and Population Exposure
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    Chapter 36 Heat Islands
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    Chapter 37 Health Applications
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    Chapter 38 Humanitarian Applications
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    Chapter 39 Monitoring Gold Mining Activity Using SAR
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    Chapter 40 Groundwater Monitoring with GRACE
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    Chapter 41 Benthic Habitats
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    Chapter 42 Surface Water Mapping
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    Chapter 43 River Morphology
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    Chapter 44 Water Balance and Drought
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    Chapter 45 Defining Seasonality: First Date of No Snow
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    Chapter 46 Active Fire Monitoring
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    Chapter 47 Mangroves
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    Chapter 48 Mangroves II—Change Mapping
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    Chapter 49 Forest Degradation and Deforestation
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    Chapter 50 Deforestation Viewed from Multiple Sensors
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    Chapter 51 Working with GPS and Weather Data
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    Chapter 52 Creating Presence and Absence Points
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    Chapter 53 Detecting Land Cover Change in Rangelands
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    Chapter 54 Conservation I—Assessing the Spatial Relationship Between Burned Area and Precipitation
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    Chapter 55 Conservation II—Assessing Agricultural Intensification Near Protected Areas
Overall attention for this book and its chapters
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Title
Cloud-Based Remote Sensing with Google Earth Engine
Published by
Springer International Publishing, January 2024
DOI 10.1007/978-3-031-26588-4
ISBNs
978-3-03-126587-7, 978-3-03-126588-4
Editors

Cardille, Jeffrey A., Crowley, Morgan A., Saah, David, Clinton, Nicholas E.

X Demographics

X Demographics

The data shown below were collected from the profiles of 606 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 190 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 13%
Student > Master 23 12%
Student > Ph. D. Student 19 10%
Student > Bachelor 17 9%
Unspecified 15 8%
Other 27 14%
Unknown 64 34%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 15%
Environmental Science 27 14%
Earth and Planetary Sciences 26 14%
Unspecified 16 8%
Engineering 13 7%
Other 9 5%
Unknown 71 37%