Kaushik et al. (2026) Assessing Geo-Foundational Models for Flood Inundation Mapping: Benchmarking models for Sentinel-1, Sentinel-2, and Planetscope

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Saurabh Kaushik, Lalit Maurya, Beth Tellman, Wei Chen
• DOI: 10.1109/jstars.2026.3656855

Research Groups

Not available in the provided text.

Short Summary

This paper focuses on assessing and benchmarking geo-foundational models for flood inundation mapping, specifically utilizing satellite data from Sentinel-1, Sentinel-2, and Planetscope.

Objective

• To assess the performance of geo-foundational models for flood inundation mapping.
• To benchmark these models using satellite imagery from Sentinel-1, Sentinel-2, and Planetscope.

Study Configuration

• Spatial Scale: Regional to local scale, dependent on the coverage and resolution of Sentinel-1, Sentinel-2, and Planetscope satellite data.
• Temporal Scale: Not specified in the provided text.

Methodology and Data

• Models used: Geo-foundational models (specific model names not provided in the text).
• Data sources: Satellite data from Sentinel-1, Sentinel-2, and Planetscope.

Main Results

Not available in the provided text.

Contributions

Not available in the provided text.

Funding

Not available in the provided text.

Citation

@article{Kaushik2026Assessing,
  author = {Kaushik, Saurabh and Maurya, Lalit and Tellman, Beth and Chen, Wei},
  title = {Assessing Geo-Foundational Models for Flood Inundation Mapping: Benchmarking models for Sentinel-1, Sentinel-2, and Planetscope},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2026},
  doi = {10.1109/jstars.2026.3656855},
  url = {https://doi.org/10.1109/jstars.2026.3656855}
}