mlsanityData to 7 Oct 2026

EarthEmbeddingExplorer: A Web Application for Cross-Modal Retrieval of Global Satellite Images

arXiv 2603.29441 ↗First posted 31 Mar 2026cs.CVcited by 1

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Abstract (arXiv)

While the Earth observation community has witnessed a surge in high-impact foundation models and global Earth embedding datasets, a significant barrier remains in translating these academic assets into freely accessible tools. This tutorial introduces EarthEmbeddingExplorer, an interactive web application designed to bridge this gap, transforming static research artifacts into dynamic, practical workflows for discovery. We will provide a comprehensive hands-on guide to the system, detailing its cloud-native software architecture, demonstrating cross-modal queries (natural language, visual, and geolocation), and showcasing how to derive scientific insights from retrieval results. By democratizing access to precomputed Earth embeddings, this tutorial empowers researchers to seamlessly transition from state-of-the-art models and data archives to real-world application and analysis. The web application is available at https://modelscope.ai/studios/Major-TOM/EarthEmbeddingExplorer.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 10 of its 11 references that are in the map. First posted on arXiv 31 Mar 2026.

Builds on

10 of 11 references.

References · 10

  1. 2023DINOv2: Learning Robust Visual Features without Supervisioncited by 7,764
  2. 2023Sigmoid Loss for Language Image Pre-Trainingcited by 3,048
  3. 2019Gradio: Hassle-Free Sharing and Testing of ML Models in the Wildcited by 176
  4. 2023SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagerycited by 148
  5. 2024Major TOM: Expandable Datasets for Earth Observationcited by 31
  6. 2024Global and Dense Embeddings of Earth: Major TOM Floating in the Latent Spacecited by 12
  7. 2022GlacierNet2: A Hybrid Multi-Model Learning Architecture for Alpine Glacier Mappingcited by 6
  8. 2025Generalizable Slum Detection from Satellite Imagery with Mixture-of-Expertscited by 6
  9. 2026Earth Embeddings as Products: Taxonomy, Ecosystem, and Standardized Accesscited by 4
  10. 2025FarSLIP: Discovering Effective CLIP Adaptation for Fine-Grained Remote Sensing Understandingcited by 1

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026Earth Embeddingscited by 0