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Satellite Data Rendered Irrigation Using Penman-Monteith and Sebal (sDRIPS) for Surface Water Irrigation Optimization

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sDRIPS

satellite Data Rendered Irrigation using Penman and SEBAL (sDRIPS)

sDRIPS is an open-source Python package that generates weekly, farm-scale (30 m) irrigation advisories by integrating satellite observations, global weather models, and ground-based measurements when available. Its modular design supports diverse agricultural contexts and heterogeneous data inputs, allowing estimation of evapotranspiration, incorporation of precipitation forecasts, and calculation of net irrigation demand. sDRIPS is designed to make advanced irrigation planning accessible to farmers and canal operators of varying technical expertise, enabling optimized water use under climate uncertainty.

Python Package

sDRIPS is available on PyPI and can be installed using pip:

pip install sdrips

Read The Docs Documentation

Detailed guide with step-by-step tutorial on sDRIPS can be found on ReadTheDocs page - https://sdrips.readthedocs.io/en/latest/.

Package Stats

Name Downloads Version Platforms Documentation Release Date OS Compatibility License
sDRIPS Pepy Total Downloads PyPI Python Version Documentation Release Date OS GitHub License

How to Cite

  • Khan, S; Hossain, F.(2025). sDRIPS: A Cloud-Based, Open-Source Python Package for Satellite-Informed Surface Water Irrigation Optimization, Digital Water.
  • Khan, S; Hossain, F.; Islam, K.; Ahamed, M.(2025). Satellite Data Rendered Irrigation using Penman-Monteith and SEBAL - sDRIPS for Surface Water Irrigation Optimization, Hydrology and Earth System Sciences (HESS). Preprint - https://doi.org/10.5194/egusphere-2025-4574

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Satellite Data Rendered Irrigation Using Penman-Monteith and Sebal (sDRIPS) for Surface Water Irrigation Optimization

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