What is sDRIPS-Ukulima?
Illustration of sDRIPS
sDRIPS leverages satellite imagery and global model data to estimate the crop water use. By integrating the responses from the previous irrigation cycle, current precipitation, forecasted precipitation, and evapotranspiration-based water needs, the framework calculates net water requirements for each irrigation pivot—tailored to the crop type and its planting date.
Operating on a weekly basis, the system generates advisories that enable the irrigation water provider to make informed, science-based decisions about water allocation. These advisories quantify the net water requirement, giving water providers the flexibility to dispatch water to areas of higher need based on their on-ground judgment.
While estimates are primarily based on satellite observations and may occasionally be impacted by factors like cloud cover, they typically remain within a reliable range, offering valuable guidance for efficient water management.
How to Cite?
- S. Khan, F. Hossain, M. Ahamed and K. Islam (2024). Satellite Data Rendered Irrigation using Penman-Monteith and SEBAL (sDRIPS) for Surface Water Irrigation Optimization, Remote Sensing Applications: Society and Environment (In Review)
- S. Khan, and F. Hossain (2025). (sDRIPS): A Cloud-Based, Open-Source Python Package for Satellite-Informed Surface Water Irrigation Optimization. Digital Water (In Development)