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arXiv · 2509.06993

Geospatial Foundational Embedder: Top-1 Winning Solution on EarthVision Embed2Scale Challenge (CVPR 2025)

Zirui Xu·Raphael Tang·Mike Bianco·Qi Zhang·Rishi Madhok·Nikolaos Karianakis·Fuxun Yu
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Abstract

EarthVision Embed2Scale challenge (CVPR 2025) aims to develop foundational geospatial models to embed SSL4EO-S12 hyperspectral geospatial data cubes into embedding vectors that faciliatetes various downstream tasks, e.g., classification, regression, etc. In this technical report, we introduce our proposed method for the Top-1 winning solution on the Embed2Scale Challenge.

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Zirui Xu, Raphael Tang, Mike Bianco, Qi Zhang, Rishi Madhok, Nikolaos Karianakis, Fuxun Yu. 2025-09-03. Geospatial Foundational Embedder: Top-1 Winning Solution on EarthVision Embed2Scale Challenge (CVPR 2025). https://arxiv.org/abs/2509.06993

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