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Saurav Kumar
Arizona State UniversityMeeting roles in:
Using Mental Models to Bridge the Gap Between Human and Natural Systems: An Application to Land Use Change in a Transboundary Arid Region
Beyond Lumped Inputs: Transformer Models and Spatially-Explicit Data Integration for Streamflow Forecasting in Arizona
Frontiers in Hydroclimatic Extremes, Stormwater, and Compound Flooding: Modeling, Monitoring, and Management I Oral
Frontiers in Hydroclimatic Extremes, Stormwater, and Compound Flooding: Modeling, Monitoring, and Management II Oral
Enhancing Farm Scale Soil Salinity Prediction with UAV-Based Multispectral Data using a Bayesian Deep Learning Framework
Frontiers in Hydroclimatic Extremes, Stormwater, and Compound Flooding: Modeling, Monitoring, and Management III Oral
What Helps to Detect What? Explainable AI That Illuminates Drivers in Multi-sensor Semantic Segmentation
Frontiers in Hydroclimatic Extremes, Stormwater, and Compound Flooding: Modeling, Monitoring, and Management IV Poster
Advancing SOC Prediction Using Fractional Derivatives and Spectral Simulation: A Comparative Study of Hyperspectral and Simulated Multispectral Data
Overlooked Biases in Machine‑Learning Soil‑Carbon Maps: Depth Autocorrelation, Circular Density Logic, and Validation Gaps
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