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earth-observation

topic4 events
papersTODAY 04:00 UTC

Machine Learning API for Earth Observation Data Cubes Built on openEO

A new arXiv preprint proposes an API that bridges Earth Observation data cubes, which store imagery as spatio-temporal arrays, and the tabular or tensor formats that machine learning models expect. Built on the openEO standard, the interface aims to replace platform-specific preprocessing steps so the same ML workflow can run across different EO infrastructures. The work targets researchers who want to train and apply models on satellite data without writing custom conversion code for each provider.

earth-observation/openeo/api/remote-sensing
papersTODAY 04:00 UTC

Physically Typed and Geometry-Aware Representations for Earth Foundation Models

A new arXiv paper proposes combining semantic geospatial embeddings from Earth-observation foundation models with the spherical operators and Earth-specific geometry used in weather and climate modeling. The authors argue for representations that carry explicit physical types and geometry awareness, rather than purely semantic features, to better serve downstream Earth science tasks.

earth-observation/geospatial/foundation-models/arxiv
papersSEP 12 04:00 UTC

SPECTRA: Band-Routed Embeddings and Stage-Wise LoRA for Geospatial Foundation Models

A new arXiv paper proposes SPECTRA, a fine-tuning method for geospatial foundation models that combines band-routed embeddings with stage-wise LoRA. The approach targets cross-sensor adaptation, aiming to let models pretrained on Earth observation, climate and weather data transfer to downstream tasks across different sensor types. The abstract excerpt provided does not detail the reported results.

geospatial/lora/fine-tuning/remote-sensing
papersSEP 10 04:00 UTC

Infra-Bench CLS: open-source benchmark for critical infrastructure classification

A new arXiv paper introduces Infra-Bench CLS, a global, open-source benchmark for evaluating how well Earth observation foundation models can classify critical infrastructure. The work addresses the scarcity of complete infrastructure location data worldwide, a gap that is particularly acute in developing regions. The benchmark is intended to support more efficient mapping and monitoring of the built environment at a global scale.

open-source/benchmark/geospatial/foundation-models