Geospatial Representation Learning

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12 papers in the last four weeks, up 100% on the four weeks before. 0.1% of all new papers.

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  1. S3^3Geo: Structure-Semantic Synergistic Learning for Cross-View Geo-Localization

    Oct 8, 2026Ziqian Mo, Hill Zhang, Haosheng Tan +2Cross-View Geo-LocalizationGeospatial Representation Learning

    The Hong Kong University of Science and Technology (Guangzhou) Guangzhou, China · Claremont McKenna College Claremont, California, USA

  2. CETUS: How Far Do Representations Trained on Earth Transfer to Cassini SAR of Titan?

    Oct 6, 2026Kevin LeeRemote Sensing Image UnderstandingGeospatial Representation Learning

    University of California at Los Angeles, Los Angeles, CA · NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA

  3. T-JEPA: A Temporal Joint-Embedding Predictive Architecture for Learning Better Remote Sensing Representations

    Oct 5, 2026Bowen Peng, Li Liu, Yongxiang Liu +3Geospatial Representation LearningSelf-Supervised Time Series Representation Learning

    National University of Defense Technology, Changsha, China

  4. LEON: Location Embeddings from OSM Neighborhoods via Hexagonal Graph Masked Autoencoders

    Oct 4, 2026Szymon Soltysiak, Radoslaw Malek, Jedrzej Kusnierz +3Masked AutoencodersGeospatial Representation Learning

    Department of Artificial Intelligence, Wroclaw University of Science and Technology, Wroclaw, Poland

  5. How to Reduce Localization Ambiguity? Geometry-Semantic Constrained BEV Representation Learning for Satellite-Ground Localization

    Sep 30, 2026Junming Feng, Panwang Xia, Qiong Wu +8Representation LearningCross-View Geo-Localization

    The Hong Kong Polytechnic University, Hong Kong · Southern University of Science and Technology · Wuhan University, Wuhan, China +2

  6. Planetary Feature Fields are Scalable Earth Representations

    Sep 29, 2026Arjun Rao, Sebastian Loeschcke, Anthony Fuller +3Implicit Neural RepresentationsGeospatial Representation Learning

    University of British Columbia · University of Copenhagen · Carleton University +2

  7. When local gains fail to transfer: Frozen Earth-observation embeddings across wildfires

    Sep 28, 2026Philipp Stark, Alexandros Sopasakis, Ola HallGeospatial Foundation ModelsGeospatial Representation Learning

    Department of Human Geography Lund University Sölvegatan 10, SE-223 62 Lund, Sweden · Centre for Mathematical Sciences Lund University Sölvegatan 18, SE-221 00 Lund, Sweden

  8. Recoverable Geographic Location Information in Earth-Observation Embeddings

    Sep 24, 2026Peiwen Zhang, Kristie Hu, Jovana Knezevic +2Geospatial Foundation ModelsGeospatial Representation Learning

    University of Waterloo · University of Cambridge · Aalto University

  9. MIND the Gap: A Geographic Implicit Neural Representation with Adjustable Spatial Scale

    Sep 21, 2026Isaac Corley, Arjun Rao, Esther Rolf +7Geospatial Representation LearningHierarchical Representation Learning

    Taylor Geospatial · University of British Columbia · Vector Institute +7

  10. From Foundation Embeddings to Cropland Maps: Label Efficiency, Temporal Transferability and Independent Human Validation

    Sep 15, 2026Mohammad Ammar Mughees, Giovanni Montefoschi, Zhongxin Chen +1Agricultural Remote SensingGeospatial Foundation Models

    Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy · Food and Agriculture Organization of the United Nations, Rome, Italy

  11. When Correlations Mislead: Confounder-Aware Multi-View Urban Region Representation Learning

    Sep 14, 2026Sean Bin Yang, Ying Sun, Zongyi Xu +6Causal Representation LearningGraph Representation Learning

    Aalborg University, Aalborg, Denmark · Chongqing University of Posts and Telecommunications, Chongqing, China · East China Normal University, Shanghai, China

  12. Space as an Interventional Invariant: Cross-Modal Predictive Geometry for Stratified Cities and Em-Spaced Intelligence

    Sep 14, 2026Tao Yang, Xuhui Lin, Kunyao Li +1Causal Representation LearningGeospatial Representation Learning

    School of Architecture, Tsinghua University, Beijing, China · Department of Geography, University College London, London, United Kingdom · School of Engineering, Cardiff University, Cardiff, United Kingdom

  13. Geospatial Foundation Models Capture Health-Relevant Dimensions of Place Beyond Conventional Social Risk Indices

    Sep 10, 2026Nathaniel Hendrix, Carl Y. Zhang, Chris Heitzig +2Geospatial Foundation ModelsGeospatial Representation Learning

    Center for Professionalism and Value in Health Care, American Board of Family Medicine 1016 16th St NW Ste 800 Washington, DC 20036 United States of America · Stanford Center on Longevity, Stanford University Palo Alto, CA USA · Center for Population Health Sciences, School of Medicine, Stanford University Palo Alto, California, United States of America +1

  14. Applying foundation model embeddings towards urban livability evaluation

    Sep 8, 2026Ayush Khot, Wen Zhou, Shaowen WangFeature AttributionGeospatial Foundation Models

    Siebel School of Computing and Data Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA · Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA · Department of Geography and Geographic Information Science & Siebel School of Computing and Data Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA

  15. Synergistic Fusion of Topological Structure and Temporal Semantics of Mobility for Urban Region Embedding

    Sep 8, 2026Namwoo Kim, Jeeyun Chang, Kanghoon Lee +1Feature Interaction ModelingGeospatial Representation Learning

    Urban AI Institute, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea · Graduate School of Data Science, KAIST, Daejeon, Republic of Korea · Department of Industrial Engineering and Systems, KAIST, Daejeon, Republic of Korea +1

  16. MEOX: Compact Multimodal Mixture-of-Experts for Earth Observation

    Sep 4, 2026Mohanad AlbughdadiMasked AutoencodersGeospatial Representation Learning

    European Centre for Medium-Range Weather Forecasts Bonn, Germany

  17. Tree species mapping in Denmark: A comparison of spectral-temporal features with geospatial foundation model embeddings

    Sep 3, 2026Alkiviadis Koukos, Spyros Kondylatos, Thomas Nord-Larsen +3Geospatial Foundation ModelsGeospatial Representation Learning

    EO Centre of Excellence, DHI, Agern Alle 5, Hørsholm, 2970, Denmark · Department of Geoscience and Natural Resource Management, University of Copenhagen, Øster Voldgade 10, Copenhagen, 1350, Denmark · ceometrics, Strandvejen 273C, Charlottenlund, 2920, Denmark

  18. Location-Aware Language Models via Secondary Embeddings

    Aug 31, 2026Gokul Srinivasagan, Munir GeorgesLLM GroundingGeospatial Representation Learning

    AImotion Bavaria, Technische Hochschule Ingolstadt, Germany

  19. A Composition-Aware Pretraining Framework for Geospatial Foundation Models

    Aug 31, 2026Aryan Kashyap Naveen, Abhishek Srinivas, Pranav Moothedath +1Remote Sensing Image UnderstandingRepresentation Learning

    National Institute of Technology, Karnataka · Surathkal, Karnataka, India · Visa Inc +2

  20. Electronic Navigational Chart Change Classification

    Aug 20, 2026Jacob Arndt, Abhishek Potnis, Alexandre SorokineGeospatial Representation Learning

    Oak Ridge National Laboratory Oak Ridge, Tennessee, USA

  21. MoRAX: Mobility-based Representation Augmentation for Geospatial Foundation Models

    Aug 18, 2026Ya Wen, Jixuan Cai, Yulun Zhou +1Representation LearningGeospatial Foundation Models

    The University of Hong Kong Hong Kong SAR, China · The Chinese University of Hong Kong Hong Kong SAR, China

  22. SLED: Scalable Location Encoding via Distillation

    Aug 6, 2026Kevin Lane, Zhongying Wang, Esther Rolf +1Geospatial Representation LearningMultimodal Pretraining

    University of Colorado Boulder

  23. Transferable Dual-Stream Representations for Mesoscale-Preserving Sea Surface Temperature Downscaling

    Aug 4, 2026Parth Doshi, Priyanka Aravindan, Vaishnav Vaidheeswaran +2Geospatial Representation LearningClimate Science

    Dalhousie University, Halifax, NS, Canada

  24. Geo-Embed: Towards Unified Multimodal Embeddings for Urban Understanding

    Aug 4, 2026Jiapeng Li, Yong Li, Junjie Zhou +2Geospatial Representation LearningCross-Modal Retrieval

    1Peking University · 2Beijing University of Posts and Telecommunications

  25. Earth Embeddings

    Aug 4, 2026Adam J. Stewart, Heng Fang, Isaac A. Corley +1Geospatial Representation LearningLand Cover Classification

    Chair of Data Science in Earth Observation, Technical University of Munich, Munich, Germany · Munich Center for Machine Learning, Munich, Germany · KTH Royal Institute of Technology, Stockholm, Sweden +1

  26. One Query, Many Scales: Sparse Mixture-of-Experts for Efficient Hierarchical Cross-View Geo-Localization

    Aug 2, 2026Ruijie Fan, Junyan Ye, Qi Zhu +1Cross-View Geo-LocalizationGeospatial Representation Learning

    Tsinghua Shenzhen International Graduate School, Tsinghua University · School of Geospatial Engineering and Science, Sun Yat-sen University

  27. TerraNova: A Foundation Model for the Anthropocene

    Jul 31, 2026Carlos Rodriguez-Pardo, Massimo TavoniGeospatial Foundation ModelsGeospatial Representation Learning

    Department of Management, Economics and Industrial Engineering, Politecnico di Milano · RFF-CMCC European Institute on Economics and the Environment (EIEE) · Euro-Mediterranean Center on Climate Change (CMCC)

  28. LunarFM: A Shared Multimodal Representation of the Moon's Surface

    Jul 24, 2026Marc Girona-Mata, Jakob Gawlikowski, Sumit Goski +6Geospatial Representation LearningMultimodal Pretraining

    German Aerospace Center (DLR) · European Space Resources Innovation Center (ESRIC) · Universidad de Antioquia

  29. OffNadirLoc: Benchmark and Framework for Challenging UAV-to-Satellite Geo-Localization under Large Off-Nadir Views

    Jul 22, 2026Qian Qiao, Wenye Liu, Ting Liu +2Cross-View Geo-LocalizationGeospatial Representation Learning

    School of Computer Science, Northwestern Polytechnical University

  30. GeoChrono: Benchmarking and Rethinking Long-Term Temporal Understanding in Remote Sensing

    Jul 17, 2026Yujie Li, Jiancheng Pan, Zhiwei Wei +3Spatiotemporal ReasoningGeospatial Representation Learning

    Beijing University of Posts and Telecommunications Haidian, Beijing, China · Tsinghua University Haidian, Beijing, China · Hunan Normal University Changsha, Hunan, China +1