Presents a new Sentinel-1/2 flood dataset for the contiguous US and reports SAR mapping gains from misalignment-robust training and generative despeckling versus classical filters.
A weighted normalized difference water index for water extraction using Landsat imagery,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Releases a publicly available, collocated multi-sensor dataset of Landsat, Sentinel-1, GOES-R and microwave observations for urban heat studies across 48 cities.
citing papers explorer
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High-Resolution Flood Mapping With Sentinel-1 and Sentinel-2 via Misalignment-Robust Cross-Sensor Learning and Generative Despeckling
Presents a new Sentinel-1/2 flood dataset for the contiguous US and reports SAR mapping gains from misalignment-robust training and generative despeckling versus classical filters.