Saurabh Kaushik
University of Wisconsin–Madison, Academy of Scientific and Innovative Research
Research areas: Computer Science · Computer Vision and Pattern Recognition · Cryospheric studies and observations · Remote-Sensing Image Classification · Advanced Neural Network Applications
0000-0002-2791-3729
About
I am Geospatial Data Scientist, interested in developing robust earth observation methods for large scale mapping and spatiotemporal analysis using state-of-the-art AI algorithm and remote sensing data. In the past I have developed deep-learning framework for glaciers and glacial lake mapping in Himalayan. GLOF modelling and long-term glacier velocity estimation also remain focus of research. Currently, I am working as Postdoctoral researcher at Byrd Polar and Climate Research Center-Ohio state university, where I am inclined toward developing deep learning method for identifying Natural Hydrogen sites at global scale.
Employment
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University of Wisconsin–Madison Postdoctoral Research Associate2025 - Present
Education
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Academy of Scientific and Innovative Research PhD Earth & Envrionmental Sciences2018 - 2023
Projects & Funding
Projects & funding information is unavailable.
Publications (21)
- FloodDuo: a dual foundation-encoder architecture for generalizable high-resolution flood mapping Save
- Glacial-Lake-Bench: A Global Multi-Sensor Benchmark Dataset for Evaluating Deep Learning Models for Glacial Lake Mapping Save
- Supplementary material to "Glacial-Lake-Bench: A Global Multi-Sensor Benchmark Dataset for Evaluating Deep Learning Models for Glacial Lake Mapping" Save
- Assessing Geo-Foundational Models for Flood Inundation Mapping: Benchmarking Models for Sentinel-1, Sentinel-2, and Planetscope Save
- Prithvi-Complimentary Adaptive Fusion Encoder (CAFE): unlocking full-potential for flood inundation mapping Save
- Debris covered glacier mapping using newly annotated multisource remote sensing data and geo-foundational model Save
- Combining machine learning algorithms for bridging gaps in GRACE and GRACE Follow-On missions using ERA5-Land reanalysis Save
- Declining Groundwater Storage in the Indus Basin Revealed Using GRACE and GRACE‐FO Data Save
- GLACIA: Instance-Aware Positional Reasoning for Glacial Lake Segmentation via Multimodal Large Language Model Save
- Automatic extraction of glacial lakes from Landsat imagery using deep learning across the Third Pole region Save
- Increasing risk of glacial lake outburst flood in Sikkim, Eastern Himalaya under climate warming Save
- Multivariate statistical algorithms for landslide susceptibility assessment in Kailash Sacred landscape, Western Himalaya Save
- Automated mapping of glacial lakes using multisource remote sensing data and deep convolutional neural network Save
- Long‐term spatiotemporal variability in the surface velocity of Eastern Himalayan glaciers, India Save
- Automated mapping of Eastern Himalayan glacial lakes using deep learning and multisource remote sensing data Save
- Automated Delineation of Supraglacial Debris Cover Using Deep Learning and Multisource Remote Sensing Data Save
- Spatio-Temporal Heterogeneity in Glaciers Response Across Western Himalaya Save
- Climate change drives glacier retreat in Bhaga basin located in Himachal Pradesh, India Save
- Examining the glacial lake dynamics in a warming climate and GLOF modelling in parts of Chandra basin, Himachal Pradesh, India Save
- Linking glacial lake expansion with glacier dynamics: An assessment of the South Lhonak lake, Sikkim Himalaya Save