Advmancements in Rainfall-Runoff Modeling: Harnessing the Power of Remote Sensing Data Integration
Keywords:
Hydrological modelling, Remote sensing data, Rainfall-runoff integration, Watershed dynamics, Satellite-based observations, Climate resilienceAbstract
Rainfall-runoff modeling is a pivotal aspect of hydrological science, providing crucial insights into watershed behavior and facilitating informed decision-making in water resource management. As technological landscapes evolve, the integration of remote sensing data has emerged as a transformative paradigm, offering a more nuanced and comprehensive understanding of hydrological processes. This review delves into the dynamic realm of rainfall-runoff modeling, elucidating the multifaceted advantages, navigating through the challenges, and dissecting recent developments associated with the amalgamation of remote sensing data.
Remote sensing technologies, ranging from satellite-based platforms to LiDAR and radar systems, have become instrumental in capturing spatial and temporal variations in environmental parameters. This review delineates the applications of these technologies, showcasing their ability to enhance the characterization of rainfall patterns, monitor land cover changes, and discern surface properties at unparalleled scales.
The benefits of incorporating remote sensing data into rainfall-runoff models are multifarious. Notably, the improved spatial resolution and extensive coverage provided by remote sensing facilitate a more accurate representation of watershed heterogeneity. Satellite-derived precipitation estimates contribute to enhanced input data accuracy, while land cover information aids in refining surface property characterizations. Furthermore, the real-time monitoring capabilities of remote sensing empower timely decision-making in the realm of water resource management.
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