Cloud-Based Remote Sensing with Google Earth Engine : : Fundamentals and Applications / / edited by Jeffrey A. Cardille, Morgan A. Crowley, David Saah, Nicholas E. Clinton.
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,...
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| Place / Publishing House: | Cham : : Springer International Publishing :, Imprint: Springer,, 2024. |
| Year of Publication: | 2024 |
| Edition: | 1st ed. 2024. |
| Language: | English |
| Physical Description: | 1 online resource (XXI, 1226 p. 1493 illus., 1464 illus. in color.) |
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Table of Contents:
- 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.