Saurabh Kaushik
Earth and Planetary Sciences · The Ohio State University
Publications
22
Citations
361
Est. group size
~2
Recurring co-author estimate
Active years
9
Publishing since 2018
Saurabh Kaushik studies glaciers, glacial lakes, and related hazards in mountain regions like the Himalaya, using satellite imagery and deep learning to map and monitor these features over time. Recent work also builds large benchmark datasets to test how well AI 'foundation models' perform on tasks like flood mapping, cryosphere (ice and snow) monitoring, and glacial lake detection. The overall focus is on applying remote sensing and machine learning to track glacier change, glacial lake hazards, and landslide risk.
Publication output has grown over the last decade, starting near zero around 2017-2019 and rising to a peak of four to five papers per year in 2025-2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Assessing Geo-Foundational Models for Flood Inundation Mapping: Benchmarking Models for Sentinel-1, Sentinel-2, and Planetscope
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2026
- Cryo-Bench: Benchmarking Foundation Models for Cryosphere Applications
arXiv (Cornell University) · 2026
- Cryo-Bench: Benchmarking Foundation Models for Cryosphere Applications
arXiv (Cornell University) · 2026
- Glacial-Lake-Bench: A Global Multi-Sensor Benchmark Dataset for Evaluating Deep Learning Models for Glacial Lake Mapping
2026
- Supplementary material to "Glacial-Lake-Bench: A Global Multi-Sensor Benchmark Dataset for Evaluating Deep Learning Models for Glacial Lake Mapping"
2026
- Automatic extraction of glacial lakes from Landsat imagery using deep learning across the Third Pole region
2025
- GLACIA: Instance-Aware Positional Reasoning for Glacial Lake Segmentation via Multimodal Large Language Model
arXiv (Cornell University) · 2025
- Automatic extraction of glacial lakes from Landsat imagery using deep learning across the Third Pole region
Remote Sensing of Environment · 2024
- Multivariate statistical algorithms for landslide susceptibility assessment in Kailash Sacred landscape, Western Himalaya
Geomatics Natural Hazards and Risk · 2023
- Multivariate statistical algorithms for landslide susceptibility assessment in Kailash Sacred landscape, Western Himalaya
Figshare · 2023
- Automated mapping of glacial lakes using multisource remote sensing data and deep convolutional neural network
International Journal of Applied Earth Observation and Geoinformation · 2022
- Long‐term spatiotemporal variability in the surface velocity of Eastern Himalayan glaciers, India
Earth Surface Processes and Landforms · 2022
- Automated Delineation of Supraglacial Debris Cover Using Deep Learning and Multisource Remote Sensing Data
Remote Sensing · 2022
- Automated mapping of Eastern Himalayan glacial lakes using deep learning and multisource remote sensing data
2022
- Spatio-Temporal Heterogeneity in Glaciers Response Across Western Himalaya
Sustainable development goals series · 2021
- arXiv (Cornell University)×3
- The Science of The Total Environment×1
- International Journal of Applied Earth Observation and Geoinformation×1
- Remote Sensing of Environment×1
- Earth Surface Processes and Landforms×1
- Kenneth C. Jezek
Earth and Planetary Sciences · The Ohio State University
- Thomas R. Chudley
Earth and Planetary Sciences · The Ohio State University
- David Crandall
Earth and Planetary Sciences · Indiana University
- Jaydeo K. Dharpure
Earth and Planetary Sciences · The Ohio State University
- K. Jezek
Earth and Planetary Sciences · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile