Saurav Kumar

Assistant Professor

Arizona State University

United States

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Dr. Saurav Kumar is an Assistant Professor at Arizona State University, United States. His research focuses on the application of Bayesian deep learning frameworks, soil salinity prediction, and the assessment of nutrient pollution impact through data-driven analysis. He is also involved in developing methodologies for crop and land cover classification using remote sensing technologies.

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Collaborators (9)

Sanjib Sharma

Assistant Research Professor

Pennsylvania State University

UNITED STATES

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Rocky Talchabhadel

Assistant Professor

Jackson State University

UNITED STATES

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Shreedhar Maskey

IHE Delft Institute for Water Education

NETHERLANDS

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Vijaya Satya N Chaganti

Assistant Professor

Virginia Tech

UNITED STATES

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Kshitij Dahal

Arizona State University

UNITED STATES

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John Ramirez Avila

Associate Professor

Mississippi State University

UNITED STATES

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Zhuping Sheng

Professor

Morgan State University

UNITED STATES

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Ali Yalcin

Montana State University

UNITED STATES

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Santosh S. Palmate

Assistant Professor

Texas A&M University

UNITED STATES

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Saurav Kumar

Research Interests

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About

Articles (20)

Evidence in Support of Adaptive Learning for Pre-Class Preparation in a Flipped STEM Classroom

A spatially aware Bayesian deep learning framework for UAV-based soil salinity prediction

Plant Traits in Spring and Winter Canola Genotypes Under Salinity

Estimating soil organic carbon deficits at the continental scale using legacy-data-driven dynamic baseline and attainable projections

Data-Driven Analysis of Selected US Waters to Assess the Impact of Mitigation Measures for Nutrient Pollution Abatement

30 Years of simultaneous crop & land cover land use maps for Middle Rio Grande from 1994 to 2024

Rethinking TMDLs: Perspective Based on Community Survey

Semantic segmentation for simultaneous crop and land cover land use classification using multi-temporal Landsat imagery

What Helps to Detect What? Explainable AI and Multisensor Fusion for Semantic Segmentation of Simultaneous Crop and Land Cover Land Use Delineation

Assessing field scale spatiotemporal heterogeneity in salinity dynamics using aerial data assimilation

Multimodal multiscale characterization of cascading hazard on mountain terrain

Applications of GIS and remote sensing in public participation and stakeholder engagement for watershed management

Increasing risk of cascading hazards in the central Himalayas

Power storage using sand and engineered materials as an alternative for existing energy storage technologies

Can Remote Sensing Fill the United States’ Monitoring Gap for Watershed Management?

Comparing the effect of different irrigation water scenarios on arid region pecan orchard using a system dynamics approach

Current Status and Future Directions in Modeling a Transboundary Aquifer: A Case Study of Hueco Bolson

Detectability of rainfall characteristics over a mountain river basin in the Himalayan region from 2000 to 2015 using ground- and satellite-based products

Selecting Reliable Models for Total Maximum Daily Load Development: Holistic Protocol

Current and emergent analytical methods for monitoring the behavior of agricultural functional nanoparticles in relevant matrices: a review

Collaborators (9)

Sanjib Sharma

Rocky Talchabhadel

Shreedhar Maskey

Vijaya Satya N Chaganti

Kshitij Dahal

John Ramirez Avila

Zhuping Sheng

Ali Yalcin

Santosh S. Palmate

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