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Water cycle is the perpetual movement of water in its various states of matter within the Earth and atmosphere. To model this phenomenon, there are multiple factors such as evapotranspiration, surface runoff, and infiltration which are difficult to quantify. We believe that by accurately estimating the irrigation amount and timing, we can better estimate and quantify other variables in the water cycle equation.
Feel free to explore the comprehensive project poster above to understand the problem statement and my methodology to solve it using Transforms and LSTM.
[1] Wei, Shiqi, et al. “Estimating Irrigation Water Consumption Using Machine Learning and Remote Sensing Data in Kansas High Plains.” Remote Sensing, vol. 14, no. 13, 2022, p. 3004. Crossref, https://doi.org/10.3390/rs14133004.
[2] Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł. & Polosukhin, I. (2017), Attention is all you need, in 'Advances in Neural Information Processing Systems' , pp. 5998--6008.
The following figures are adapted/augmented from the original sources referenced below in the table
| No. | Figure description | References |
|---|---|---|
| 1 | Kansas map | [3] Image link |
| 2 | GMD regions | [4] Majumdar, S., et al. “Groundwater Withdrawal Prediction Using Integrated Multitemporal Remote Sensing Data Sets and Machine Learning.” Water Resources Research, vol. 56, no. 11, 2020. Crossref, https://doi.org/10.1029/2020wr028059. |
| 3 | Irrigation filed | [5] Image link |
| No. | Figure description | References |
|---|---|---|
| 1 | Water cycle (Figure 1) | [6] Image link |
| 2 | Table spreadsheet | Image link |
| 3 | Radio dish | Image link |
| 4 | Satellite clipart | Image link |
| 5 | Magnifying glass | Image link |
Special thanks to PhD student Shiqi and PhD student Longyang for their continual support in this project. Kindly note that the code cannot be shared as the next iteration of this research paper is under review. To collaborate, reach out to me via LinkedIn or Email.