Cloud-based remote sensing with Google Earth Engine : fundamentals and applications / Jeffrey A. Cardille, Morgan A. Crowley, David Saah, Nicholas E. Clinton, editors

Includes bibliographical references

Part 1: Programming and Remote Sensing Basics -- 1. JavaScript and the Earth Engine API -- 2. Exploring Images -- 3. Survey of Raster Datasets -- 4. The Remote Sensing Vocabulary.-Part 2: Interpreting Images -- 5. Image Manipulation: Bands, Arithmetic, Thresholds, and Masks -- 6. Interpreting an Image: Classification -- 7. Accuracy Assessment: Quantifying Classification Quality -- Part 3: Advanced Image Processing -- 8. Interpreting an Image: Regression -- 9. Advanced Pixel-based Image Transformation -- 10. Neighborhood-based Image Transformation -- 11. Object-based Image Analysis -- Part 4: Interpreting Image Series -- 12. Filter, Map, Reduce -- 13. Exploring Image Collections -- 14. Aggregating Images for Time Series -- 15. Clouds and Image Compositing -- 16. Change Detection -- 17. Interpreting Annual Time Series with LandTrendr -- 18. Fitting Functions to Time Series.-19. Interpreting Time Series with CCDC -- 20. Data Fusion: Merging Classification Streams -- 21. Exploring Lagged Effects in Time Series -- Part 5: Vectors and Tables -- 22. Exploring Vectors -- 23. Raster/Vector Conversions -- 24. Zonal Statistics -- 25. Advanced Vector Operations -- 26. GEEDiT - Digitizing From Satellite Imagery -- Part 6: Advanced Topics -- 27. Advanced Raster Visualization -- 28. Collaborating in Earth Engine with Scripts and Assets -- 29. Scaling up in Earth Engine -- 30. Sharing Work in Earth Engine: Basic UI and Apps -- 31. Combining R and Earth Engine -- Part 7: Human Applications -- 32. Agricultural Environments -- 33. Urban Environments -- 34. Built Environments -- 35. Air pollution and population exposure -- 36. Heat Islands -- 37. Health Applications -- 38. Humanitarian Applications -- 39. Monitoring Gold Mining Activity using SAR -- Part 8: Aquatic and Hydrological Applications -- 40. Groundwater monitoring with GRACE -- 41. Benthic Habitats -- 42. Surface Water Mapping -- 43. River morphology -- 44. Water Balance and Drought -- 45. Defining Seasonality: First Date of No Snow.-Part 9: Terrestrial Applications -- 46. Active fire monitoring -- 47. Mangroves -- 48. Mangroves II - Change Mapping -- 49. Forest Degradation and Deforestation -- 50. Deforestation Viewed from Multiple Sensors -- 51. Working With GPS & Weather Data -- 52. Creating Presence and Absence Points -- 53. Detecting Land Cover Change in Rangelands -- 54. Conservation I - Assessing the spatial relationship between burned area and precipitation -- 55. Conservation II - Assessing Agricultural Intensification Near Protected Areas

This book guides its audience--which can range from novice users to experts--though a 55-chapter tour of Google Earth Engine. A sequenced and diverse set of lab materials, this is the product of more than a year of effort from more than a hundred individuals, collecting new exercises from professors, undergraduates, masters students, PhD students, postdocs, and independent consultants. The book is broadly organized into two halves. The first half, Fundamentals, is a set of 31 labs designed to take the reader from being a complete Earth Engine novice to being a quite advanced user. The second half, Applications, presents a tour of the world of Earth Engine across 24 chapters, showing how it is used in a very wide variety of settings that rely on remote-sensing data. This is an open access book