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
9 - Crop and Irrigation Management from Space
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 chapter we learned how satellite data to estimate various water targets such as precipitation and surface water, can be combined in a model-reservoir system to track a reservoir’s dynamic state and understand river regulation. In this chapter we will cover how satellite data can be used to manage crops and irrigation. We will learn how satellite data can be used to estimate an area under a specific crop using classification techniques, which then helps us understand the water need for that area. Next we will learn methods to estimate crop water demand and actual crop water consumption.
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- Satellite Remote Sensing for Water Management , pp. 232 - 262Publisher: Cambridge University PressPrint publication year: 2025
References
References
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M. (1998). Crop Evapotranspiration – Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper 56. FAO. Available at: www.fao.org/3/x0490e/x0490e00.htm (last accessed June 3, 2023)Google Scholar
Bose, I., Hossain, F., Eldardiry, H., et al. (2021). Integrating gravimetry data with thermal infra-red data from satellites to improve efficiency of operational irrigation advisory in South Asia. Water Resources Research, 57, e2020WR028654. https://doi.org/10.1029/2020WR028654CrossRefGoogle Scholar
Hossain, F., Biswas, N., Ashraf, M., and Bhatti, A. Z. (2017). Growing more with less using cell phones and satellite data. EOS, vol. 98. https://doi.org/10.1029/2017EO075143Google Scholar
Jones, H. G. and Vaughan, R. A. (2010). Remote Sensing of Vegetation: Principles, Techniques and Applications, Oxford University Press.Google Scholar
Laborte, A., Gutierrez, M., Balanza, J., et al. (2017). RiceAtlas, a spatial database of global rice calendars and production. Scientific Data, vol. 4, 170074. https://doi.org/10.1038/sdata.2017.74CrossRefGoogle ScholarPubMed
Liou, Y. A. and Kar, S. K. (2014). Evapotranspiration estimation with remote sensing and various surface energy balance algorithms – a review. Energies, vol. 7, 2821–2849.10.3390/en7052821CrossRefGoogle Scholar
Meissner, R., Rupp, H., and Haselow, L. (2020). Chapter 7 – Use of lysimeters for monitoring soil water balance parameters and nutrient leaching. In Vara Prasad, M. N. and Pietrzykowski, M. (eds.) Climate Change and Soil Interactions, 171–205. Elsevier. https://doi.org/10.1016/B978-0-12-818032-7.00007-2CrossRefGoogle Scholar
Muzammil, M., Zahid, A., and Breuer, L. (2021). Economic and environmental impact assessment of sustainable future irrigation practices in the Indus Basin of Pakistan. Scientific Reports 11, 23466. https://doi.org/10.1038/s41598-021-02913-9CrossRefGoogle ScholarPubMed
Singh, G. (2020). India’s food bowl heads toward desertification. EOS, vol. 101. https://doi.org/10.1029/2020EO147581CrossRefGoogle Scholar
Waleed, M., Mubeen, M., Ahmad, A., et al. (2022). Evaluating the efficiency of coarser to finer resolution multispectral satellites in mapping paddy rice fields using GEE implementation. Scientific Reports, vol. 12, 13210. https://doi.org/10.1038/s41598-022-17454-yCrossRefGoogle ScholarPubMed
Suggested Reading
Bhattarai, N., and Wagle, P. (2021). Recent advances in remote sensing of evapotranspiration. Remote Sensing, vol. 13, 4260. https://doi.org/10.3390/rs13214260CrossRefGoogle Scholar
Ozdogan, M., Yang, Y., Allez, G., and Cervantes, C. (2010). Remote sensing of irrigated agriculture: opportunities and challenges. Remote Sensing, vol. 2, 2274–2304. https://doi.org/10.3390/rs2092274CrossRefGoogle Scholar
Zhang, K., Kimball, J. S., and Running, S. W. (2016). A review of remote sensing based actual evapotranspiration estimation. WIREs Water, vol. 3, 834–853. https://doi.org/10.1002/wat2.1168CrossRefGoogle Scholar
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