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

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

Published: 01 Jan 2025, Last Modified: 06 Nov 2025CoRR 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
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.