Comprehensive framework for agricultural water management in data-scarce regions: Integration of hydrological models and remotely sensed crop type data

Key Points

• Effective water management shows a significant improvement in agricultural productivity, particularly in areas lacking data.
• The integration of remotely sensed crop type data enhances the accuracy of hydrological models in predicting water needs.
• Assessment using hydrological models reveals critical insights about water allocation patterns across diverse agricultural landscapes.
• The framework highlights the necessity for tailored water management strategies in regions where traditional data sources are limited.