mlsanityData to 7 Oct 2026

Artificial intelligence to advance Earth observation: : A review of models, recent trends, and pathways forward

arXiv 2305.08413 ↗First posted 15 May 2023cs.CV eess.IV stat.APcited by 28

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Abstract (arXiv)

Earth observation (EO) is a prime instrument for monitoring land and ocean processes, studying the dynamics at work, and taking the pulse of our planet. This article gives a bird's eye view of the essential scientific tools and approaches informing and supporting the transition from raw EO data to usable EO-based information. The promises, as well as the current challenges of these developments, are highlighted under dedicated sections. Specifically, we cover the impact of (i) Computer vision; (ii) Machine learning; (iii) Advanced processing and computing; (iv) Knowledge-based AI; (v) Explainable AI and causal inference; (vi) Physics-aware models; (vii) User-centric approaches; and (viii) the much-needed discussion of ethical and societal issues related to the massive use of ML technologies in EO.

Key facts. Cited by 28 papers in the map (data through 7 Oct 2026). Builds on 60 of its 177 references that are in the map. First posted on arXiv 15 May 2023.

Builds on

60 of 177 references.

References · 60

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 4; 2025: 12; 2026: 12.

28 papers.

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  1. 2024Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applicationscited by 139
  2. 2024reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysiscited by 48
  3. 2025Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Modelcited by 46
  4. 2025RemoteSAM: Towards Segment Anything for Earth Observationcited by 38
  5. 2024Space-scale Exploration of the Poor Reliability of Deep Learning Models: the Case of the Remote Sensing of Rooftop Photovoltaic Systemscited by 4
  6. 2024IceCloudNet: 3D reconstruction of cloud ice from Meteosat SEVIRIcited by 3
  7. 2025Self-Supervised Cross-Modal Text-Image Time Series Retrieval in Remote Sensingcited by 3
  8. 2026Localized, High-resolution Geographic Representations with Slepian Functionscited by 3
  9. 2025Tile and Slide : A New Framework for Scaling NeRF from Local to Global 3D Earth Observationcited by 2
  10. 2026Process-Guided Concept Bottleneck Modelcited by 2
  11. 2025SAR Object Detection with Self-Supervised Pretraining and Curriculum-Aware Samplingcited by 1
  12. 2025Continual Self-Supervised Learning with Masked Autoencoders in Remote Sensingcited by 1
16 more
  1. 2025InstaGeo: Compute-Efficient Geospatial Machine Learning from Data to Deploymentcited by 1
  2. 2025EarthSight: A Distributed Framework for Low-Latency Satellite Intelligencecited by 1
  3. 2025BotaCLIP: Contrastive Learning for Botany-Aware Representation of Earth Observation Datacited by 1
  4. 2025Leveraging Land Cover Priors for Isoprene Emission Super-Resolutioncited by 0
  5. 2025Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imagingcited by 0
  6. 2025An Efficient and Effective Encoder Model for Vision and Language Tasks in the Remote Sensing Domaincited by 0
  7. 2026The Global-Local loop: what is missing in bridging the gap between geospatial data from numerous communities?cited by 0
  8. 2026Deployment-Aligned Low-Precision Neural Architecture Search for Spaceborne Edge AIcited by 0
  9. 2026Uncertainty-Guided Edge Learning for Deep Image Regression in Remote Sensingcited by 0
  10. 2026Clustering Guided Domain-Specific Pretrained Foundation Model for Very High-Resolution Arctic Remote Sensingcited by 0
  11. 2026Event-Based Vision in Space: Applications, Trends, and Future Directionscited by 0
  12. 2026BMCR: Adaptive Backbone Module Composition via Reinforcement Learning for Remote Sensing Object Detectioncited by 0
  13. 2026On the Disagreement in Perturbation-based xAI -- Benchmarking Perturbation Choices for Flood Detection from SAR Imagescited by 0
  14. 2026Hybrid Quantum CNN for Cross-Sensor Spaceborne Volcanic Thermal Activity Recognition Worldwidecited by 0
  15. 2026Volcanic Clouds Detection through QCNN and Geostationary Satellite Multispectral Imagerycited by 0
  16. 2026FedMAD: Modulation-Aware Directional Aggregation for Federated Learning in Remote Sensing Image Classificationcited by 0