Book contents
- Satellite Remote Sensing for Water Management
- Reviews
- Satellite Remote Sensing for Water Management
- Copyright page
- Dedication
- Contents
- Preface
- Acknowledgements
- 1 Why Manage Water with Satellite Remote Sensing?
- 2 An Introduction to Remote Sensing from Space
- 3 A Review of First Principles
- 4 Introduction to Cloud Computing
- 5 Satellite Remote Sensing of Precipitation
- 6 Satellite Remote Sensing of Surface Water in Lakes and Reservoirs
- 7 Satellite Remote Sensing of River Discharge
- 8 Reservoir Management from Space
- 9 Crop and Irrigation Management from Space
- 10 Satellite Remote Sensing of Surface Water Temperature
- 11 Social Justice in Water Management
- 12 Citizen Science and Water Management
- Index
- References
4 - Introduction to Cloud Computing
Published online by Cambridge University Press: 10 October 2025
Book contents
- Satellite Remote Sensing for Water Management
- Reviews
- Satellite Remote Sensing for Water Management
- Copyright page
- Dedication
- Contents
- Preface
- Acknowledgements
- 1 Why Manage Water with Satellite Remote Sensing?
- 2 An Introduction to Remote Sensing from Space
- 3 A Review of First Principles
- 4 Introduction to Cloud Computing
- 5 Satellite Remote Sensing of Precipitation
- 6 Satellite Remote Sensing of Surface Water in Lakes and Reservoirs
- 7 Satellite Remote Sensing of River Discharge
- 8 Reservoir Management from Space
- 9 Crop and Irrigation Management from Space
- 10 Satellite Remote Sensing of Surface Water Temperature
- 11 Social Justice in Water Management
- 12 Citizen Science and Water Management
- Index
- References
Summary
In the previous chapters, we built the basic foundation of satellite remote sensing. In this chapter we will explore a relatively recent innovation in information technology called cloud computing that has dramatically improved data accessibility and the practicality of applying large satellite remote sensing datasets for water management. Future chapters on specific targets and water management themes will have hands-on examples and assignments based on actual satellite data. Most of these chapters will assume prior knowledge of cloud computing for understanding and completing assignments. Since cloud computing is gradually proliferating in all walks of water management practice, the aim of this chapter is to introduce readers to cloud computing concepts and specific tools currently available for dealing with the very large satellite data sets on water.
Keywords
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- Satellite Remote Sensing for Water Management , pp. 59 - 84Publisher: Cambridge University PressPrint publication year: 2025
References
Reference
Lewis, A., Oliver, S., Lymburner, L., et al. (2017). The Australian Geoscience Data Cube – foundations and lessons learned. Remote Sensing of Environment, vol. 202, 276–292. https://doi.org/10.1016/j.rse.2017.03.015.CrossRefGoogle Scholar
Suggested Reading
Amani, M. Ghorbanian, A., Ahmadi, S. A., et al. (2020). Google Earth Engine cloud computing platform for remote sensing big data applications: a comprehensive review. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, 5326–5350. https://doi.org/10.1109/JSTARS.2020.3021052CrossRefGoogle Scholar
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