@inproceedings{zhu2026sinkhole,
  title = {Attention-Enhanced Multimodal Fusion of Elevation and Aerial Imagery for Sinkhole Segmentation},
  author = {Zhu, Junfeng and Cunningham, Desireé and Jacobs, Nathan},
  booktitle = {Multidisciplinary Conference on Sinkholes and the Engineering and Environmental Impacts of Karst},
  month = oct,
  year = {2026}
}

@inproceedings{cher2026search,
  author = {Cher, Daniel and Kolouju, Pranavi and Xing, Eric and Pless, Robert and Stylianou, Abby and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {Efficient hierarchical search for scalable retrieval in global remote sensing imagery},
  month = jul,
  note = {(oral)},
  year = {2026}
}

@inproceedings{prue2026,
  pdf = {https://arxiv.org/pdf/2603.27101},
  title = {{PRUE}: A Practical Recipe for Field Boundary Segmentation at Scale},
  author = {Muhawenayo, Gedeon and Robinson, Caleb and Khanal, Subash and Fang, Zhanpei and Corley, Isaac and Wollam, Alexander and Gao, Tianyi and Strnad, Leonard and Avery, Ryan and Estes, Lyndon and Tárano, Ana M. and Jacobs, Nathan and Kerner, Hannah},
  month = jun,
  year = {2026},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}
}

@inproceedings{mosig2026deadtrees_egu,
  author = {Mosig, Clemens and Kattenborn, Teja and Vanja-Jehle, Janusch and Montero, David and Brandt, John and Bozzini, Aurora and Cheng, Yan and Esquivel Muelbert, Adriane and Ganz, Keenan and Gora, Evan and Gr{\"u}ning, Bj{\"o}rn A. and Jacobs, Nathan and Hartmann, Henrik and Hempel, Jan and Horion, St{\'e}phanie and Junttila, Samuli and Khanal, Subash and Korznikov, Kirill and Kraemer, Guido and McGregor, Ian and M{\"o}nks, Milena and Muller-Landau, Helene and Nardi, Davide and Neumeier, Paul and Schmid, Jonathan and Schwartz, Martin and Beloui Schwenke, Mirela and Soltani, Salim and Therese-Schmehl, Marie and Veitch-Michaelis, Josh and Xing, Eric and Mahecha, Miguel D.},
  title = {deadtrees.earth Maps: Tree Mortality and Disturbance Mapping from Sentinel-2 Timeseries Across The Globe},
  booktitle = {EGU General Assembly 2026},
  address = {Vienna, Austria},
  publisher = {Copernicus Meetings},
  year = {2026},
  month = may,
  day = {3},
  doi = {10.5194/egusphere-egu26-18072},
  url = {https://doi.org/10.5194/egusphere-egu26-18072}
}

@inproceedings{sarkar2026diffvas,
  title = {{DiffVAS}: Diffusion-Guided Visual Active Search in Partially Observable Environments},
  author = {Sarkar, Anindya and Sastry, Srikumar and Pirinen, Aleksis and Jacobs, Nathan and Vorobeychik, Yevgeniy},
  year = {2026},
  month = may,
  note = {(oral)},
  booktitle = {International Conference on Autonomous Agents and Multiagent Systems (AAMAS)},
}

@misc{robinson2026global,
  title = {The first global agricultural field boundary map at 10m resolution},
  author = {Robinson, Caleb and Muhawenayo, Gedeon and Khanal, Subash and Fang, Zhanpei and Corley, Isaac and Tárano, Ana M. and Estes, Lyndon and Marcus, Jennifer and Jacobs, Nathan and Kerner, Hannah and Becker-Reshef, Inbal and Ferres, Juan M. Lavista},
  month = may,
  year = {2026},
  eprint = {2605.11055},
  archiveprefix = {arXiv},
  primaryclass = {cs.CV},
  url = {https://arxiv.org/abs/2605.11055},
  pdf = {https://mvrl.github.io/pdf/robinson2026global.pdf},
}

@inproceedings{wollam2026pose,
  author = {Wollam, Alexander and Ashley, Kyle and Shugaev, Maxim and Arend, Oliver and Semenov, Ilya Yevgeniyevich and Dashtestani, Hadis and Ravi, Sumved and Jacobs, Nathan},
  title = {Towards Unconstrained Cross-View Pose Estimation},
  booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
  pdf = {https://openaccess.thecvf.com/content/WACV2026/papers/Wollam_Towards_Unconstrained_Cross-View_Pose_Estimation_WACV_2026_paper.pdf},
  month = mar,
  year = {2026}
}

@article{koch2026,
  title = {Assessing deep learning segmentation models for mapping landslides from lidar-based elevation data},
  url = {http://dx.doi.org/10.22541/essoar.177265426.62613754/v1},
  doi = {10.22541/essoar.177265426.62613754/v1},
  publisher = {Wiley},
  author = {Koch, Hudson J and Zhu, Junfeng and Bhatt, Shashank and Jacobs, Nathan and Dortch, Jason M},
  year = {2026},
  month = mar
}

@misc{sastry2026geodit,
  title = {{GeoDiT}: Point-Conditioned Diffusion Transformer for Satellite Image Synthesis},
  author = {Sastry, Srikumar and Cher, Dan and Wei, Brian and Dhakal, Aayush and Khanal, Subash and Gupta, Dev and Jacobs, Nathan},
  month = mar,
  year = {2026},
  eprint = {2603.02172},
  archiveprefix = {arXiv},
  primaryclass = {cs.CV},
  url = {https://arxiv.org/abs/2603.02172},
  pdf = {https://arxiv.org/pdf/2603.02172}
}

@inproceedings{cher2026vector,
  author = {Cher, Dan and Wei, Brian and Sastry, Srikumar and Jacobs, Nathan},
  title = {{VectorSynth}: Fine-Grained Satellite Image Synthesis with Structured Semantics},
  booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
  primaryclass = {cs.CV},
  month = mar,
  eprint = {2511.07744},
  pdf = {https://openaccess.thecvf.com//content/WACV2026/papers/Cher_VectorSynth_Fine-Grained_Satellite_Image_Synthesis_with_Structured_Semantics_WACV_2026_paper.pdf},
  archiveprefix = {arXiv},
  year = {2026}
}

@article{ahmad2026canopy,
  title = {Canopy height mapping in the Western Himalayas, Pakistan: A deep learning approach using GEDI and Sentinel-2 fusion},
  volume = {146},
  pages = {105030},
  year = {2026},
  issn = {1569-8432},
  doi = {https://doi.org/10.1016/j.jag.2025.105030},
  journal = {International Journal of Applied Earth Observation and
    Geoinformation},
  url = {https://www.sciencedirect.com/science/article/pii/S1569843225006776},
  month = feb,
  author = {Ahmad, Adeel and Sastry, Srikumar and Dhakal, Aayush and Khanal, Subash and Levering, Alex and Gilani, Hammad and Jacobs, Nathan},
}

@inproceedings{elallaf2026,
  title = {Beta Distribution Learning for Reliable Roadway Crash Risk Assessment},
  author = {Elallaf, Ahmad and Jacobs, Nathan and Ye, Xinyue and Chen, Mei and Liang, Gongbo},
  year = {2026},
  month = jan,
  booktitle = {Association for the Advancement of Artificial Intelligence (AAAI)},
  eprint = {2511.04886},
  pdf = {https://arxiv.org/pdf/2511.04886.pdf},
  archiveprefix = {arXiv},
  primaryclass = {cs.CV}
}

@article{mosig2026subpixel,
  title = {Sub-pixel mapping of disturbance and tree mortality dynamics from Sentinel-2 time series around the globe},
  author = {Mosig, Clemens and Kattenborn, Teja and Montero Loaiza, David and Vanja-Jehle, Janusch and Brandt, John and Jacobs, Nathan and Khanal, Subash and Xing, Eric and Schwartz, Martin and Muller-Landau, Helene C. and Beloiu, Mirela and Bozzini, Aurora and Cheng, Yan and Ganz, Keenan and Gr{\"u}ning, Bj{\"o}rn and Hartmann, Henrik and Hempel, Jan and Horion, St{\'e}phanie and Junttila, Samuli and Korznikov, Kirill and Kraemer, Guido and M{\"o}nks, Milena and Nardi, Davide and Neumeier, Paul and Schmid, Jonathan and Soltani, Salim and Therese-Schmehl, Marie and Veitch-Michaelis, Josh and Mahecha, Miguel},
  journal = {Eartharxiv},
  year = {2026},
  url = {https://eartharxiv.org/repository/view/11912/},
  doi = {10.31223/X5B18W}
}

@article{dove2026sar,
  title = {Recent Advancements in Deep Learning for SAR-to-Optical Image Translation: A Systematic Literature Review (2021–2025)},
  author = {Dove, Trevor and Xie, Zhixiao and Tang, Meng and Ye, Xinyue and Jacobs, Nathan and Liang, Gongbo},
  journal = {Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS)},
  year = {2026},
  doi = {10.36227/techrxiv.176287415.57044116/v1},
  url = {https://www.techrxiv.org/doi/abs/10.36227/techrxiv.176287415.57044116/v1},
  eprint = {https://www.techrxiv.org/doi/pdf/10.36227/techrxiv.176287415.57044116/v1}
}

@inproceedings{balogun2025,
  author = {Balogun, Rufai Omowunmi and Chakraborty, Tanmoy and Muhawenayo, Gedeon and Kerner, Hannah Rae and Tárano, Ana M and Fang, Zhanpei and Jacobs, Nathan and Khanal, Subash and Abedi, Rahebe and Estes, Lyndon D},
  title = {Combining open labeled datasets with varying domains to improve large-scale agricultural field boundary delineation},
  booktitle = {American Geophysical Union (AGU) Fall Meeting Abstracts},
  month = dec,
  year = {2025},
  pdf = {https://mvrl.github.io/pdf/balogun2025.pdf},
}

@inproceedings{shen2025,
  title = {Enhancing Estimation of Daily 1-km Resolution Fine Particulate Matter Concentrations for North America with Deep Learning from Geophysical A Priori Information},
  author = {Shen, Siyuan and van Donkelaar, Aaron and Jacobs, Nathan and Li, Chi and Martin, Randall V.},
  booktitle = {American Geophysical Union (AGU) Fall Meeting Abstracts},
  month = dec,
  doi = {10.1021/acsestair.5c00251},
  year = {2025}
}

@inproceedings{muhawenayo2025,
  author = {Muhawenayo, Gedeon and Fang, Zhanpei and Khanal, Subash and Wollam, Alexander and Corley, Isaac and Robinson, Caleb and Mohr, Matthias and Holmes, Christopher and Marcus, Jennifer and Estes, Lyndon D and Jacobs, Nathan and Tárano, Ana M and Kerner, Hannah Rae},
  title = {Global Field Boundary Delineation Model Zoo and Tooling},
  booktitle = {American Geophysical Union (AGU) Fall Meeting Abstracts},
  month = dec,
  year = {2025}
}

@misc{klemmer_embeddings,
  title = {{Earth Embeddings}: Towards {AI}-centric Representations of our Planet},
  author = {Klemmer, Konstantin and Rolf, Esther and Russwurm, Marc and Camps-Valls, Gustau and Czerkawski, Mikolaj and Ermon, Stefano and Francis, Alistair and Jacobs, Nathan and Kerner, Hannah Rae and Mackey, Lester and Mai, Gengchen and Aodha, Oisin Mac and Reichstein, Markus and Robinson, Caleb and Rolnick, David and Shelhamer, Evan and Sitzmann, Vincent and Tuia, Devis and Zhu, Xiaoxiang},
  month = dec,
  year = {2025},
  doi = {https://doi.org/10.31223/X5HX9S},
  pdf = {https://eartharxiv.org/repository/object/11083/download/20213/},
  archiveprefix = {Earth arXiv}
}

@inproceedings{badzioch2025,
  title = {Mapping Post-Fire Polygonal Ice Wedge Degradation in Arctic Tundra Using High Resolution Satellite Imagery and Computer Learning},
  author = {Badzioch, Rachel and Jacobs, Nathan and Rastetter, Edward B and Rocha, Adrian V},
  booktitle = {American Geophysical Union (AGU) Fall Meeting Abstracts},
  month = dec,
  year = {2025}
}

@inproceedings{sastry2025ldsdm,
  title = {{LD-SDM}: Language-Driven Hierarchical Species Distribution Modeling},
  author = {Sastry, Srikumar and Xing, Xin and Dhakal, Aayush and Khanal, Subash and Ahmad, Adeel and Jacobs, Nathan},
  month = oct,
  year = {2025},
  booktitle = {Computer Vision for Ecology (IEEE/CVF International Conference on Computer Vision (ICCV) Workshops)},
  eprint = {2312.08334},
  pdf = {https://arxiv.org/pdf/2312.08334.pdf},
  archiveprefix = {arXiv},
  primaryclass = {cs.CV}
}

@inproceedings{fiboa2025,
  author = {Mohr, Matthias and Roby, Michelle and Bosloper, Ivor and Kerner, Hannah Rae and Jacobs, Nathan and Robinson, Caleb},
  booktitle = {Living Planet Symposium (LPS)},
  title = {{Fields of The World} and fiboa: {T}owards interoperable worldwide agricultural field boundaries through standardization and machine-learning
                  },
  month = jun,
  day = {24},
  year = {2025}
}

@article{xiong2025mvps,
  title = {Mixed-View Panorama Synthesis using Geospatially Guided Diffusion},
  author = {Xiong, Zhexiao and Xing, Xin and Workman, Scott and Khanal, Subash and Jacobs, Nathan},
  journal = {Transactions on Machine Learning Research (TMLR)},
  year = {2025},
  eprint = {2407.09672},
  month = may,
  archiveprefix = {arXiv},
  project = {https://mixed-view.github.io/},
  pdf = {https://arxiv.org/pdf/2407.09672},
  primaryclass = {cs.CV}
}

@inproceedings{SastryLDSDM,
  author = {Sastry, Srikumar and Xing, Xin and Dhakal, Aayush and Khanal, Subash and Ahmad, Adeel and Jacobs, Nathan},
  title = {{LD-SDM}: Language-Driven Hierarchical Species Distribution Modeling},
  booktitle = {American Geophysical Union (AGU) Fall Meeting Abstracts},
  month = dec,
  year = {2024}
}

@inproceedings{ahmad2024canopy,
  author = {Ahmad, Adeel and Dhakal, Aayush and Sastry, Srikumar and Khanal, Subash and Xing, Eric and Jacobs, Nathan},
  title = {Improved Canopy Vertical Structural Diversity Mapping Across Varied Topographies Using Deep Learning Techniques},
  booktitle = {American Geophysical Union (AGU) Fall Meeting Abstracts},
  month = dec,
  year = {2024}
}

@inproceedings{kerner2024ftwagu,
  author = {Kerner, Hannah Rae and Chaudhari, Snehal and Robinson, Caleb and Ghosh, Aninda and Ahmad, Adeel and Choi, Eddie and Jacobs, Nathan and Holmes, Christopher and Mohr, Matthias and Marcus, Jennifer},
  title = {{Fields of The World (FTW!)}: A New Machine Learning Dataset for Agricultural Field Boundary Segmentation on Four Continents},
  booktitle = {American Geophysical Union (AGU) Fall Meeting Abstracts},
  month = dec,
  year = {2024}
}

@inproceedings{SastryClimSatDiff,
  author = {Sastry, Srikumar and Ahmad, Adeel and Dhakal, Aayush and Khanal, Subash and Xing, Eric and Jacobs, Nathan},
  title = {{ClimSatDiff}: Synthesizing the Earth's Surface Conditioned on Climatic Variables using Diffusion Models},
  booktitle = {American Geophysical Union (AGU) Fall Meeting Abstracts},
  month = dec,
  year = {2024}
}

@inproceedings{ShenEnhancingPM,
  author = {Shen, Siyuan and van Donkelaar, Aaron and Jacobs, Nathan and Li, Chi and Martin, Randall V.},
  title = {Enhancing Estimation of Fine Particulate Matter Species Concentrations over North America by Including Geophysical a priori Information in Deep Learning},
  booktitle = {American Geophysical Union (AGU) Fall Meeting Abstracts},
  month = dec,
  year = {2024}
}

@article{levering2024scenicness,
  author = {Levering, Alex and Marcos, Diego and Jacobs, Nathan and Tuia, Devis},
  journal = {PLOS ONE},
  publisher = {Public Library of Science},
  month = sep,
  year = {2024},
  title = {Prompt-guided and multimodal landscape scenicness assessments with vision-language models}
}

@inproceedings{jain2024align,
  author = {Jain, Pallavi and Marcos, Diego and Ienco, Dino and Interdonato, Roberto and Dhakal, Aayush and Jacobs, Nathan and Berchoux, Tristan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {Aligning Geo-Tagged {CLIP} Representations and Satellite Imagery for Few-Shot Land Use Classification},
  month = jul,
  note = {(oral)},
  year = {2024}
}

@inproceedings{dhakal2024bind,
  author = {Dhakal, Aayush and Khanal, Subash and Sastry, Srikumar and Ahmad, Adeel and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {{GeoBind}: Binding text, image, and audio through satellite images},
  eprint = {2404.11720},
  archiveprefix = {arXiv},
  pdf = {https://arxiv.org/pdf/2404.11720.pdf},
  month = jul,
  note = {(oral)},
  year = {2024}
}

@inproceedings{sarkar2024eviction,
  title = {Geospatial Active Search for Preventing Evictions},
  author = {Sarkar, Anindya and DiChristofano, Alex and Das, Sanmay and Fowler, Patrick and Jacobs, Nathan and Vorobeychik, Yevgeniy},
  year = {2024},
  month = may,
  booktitle = {International Conference on Autonomous Agents and Multiagent Systems (AAMAS)},
}

@article{shen2024pm,
  author = {Shen, Siyuan and Li, Chi and van Donkelaar, Aaron and Jacobs, Nathan and Wang, Chenguang and Martin, Randall V.},
  title = {Enhancing Global Estimation of Fine Particulate Matter Concentrations by Including Geophysical a Priori Information in Deep Learning},
  journal = {ACS ES\&T Air},
  year = {2024},
  month = mar,
  day = {27},
  doi = {10.1021/acsestair.3c00054},
}

@article{liang2024road,
  author = {Liang, Gongbo and Zulu, Janet and Xing, Xin and Jacobs, Nathan},
  title = {Unveiling Roadway Hazards: Enhancing Fatal Crash Risk Estimation through Multi-Scale Satellite Imagery and Self-Supervised Cross-Matching},
  journal = {Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS)},
  doi = {10.1109/JSTARS.2023.3331438},
  month = nov,
  year = {2023},
}

@inproceedings{zhang2023adapt,
  author = {Zhang, Yu and Rafique, M. Usman and Christie, Gordon and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {{CrossAdapt}: Cross-scene Adaptation for Multi-domain Depth Estimation},
  month = jul,
  year = {2023}
}

@inproceedings{sastry2023al,
  author = {Sastry, Srikumar and Jacobs, Nathan and Belgiu, Mariana and Maretto, Raian Vargas},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {Task Agnostic Cost Prediction Module for Semantic Labeling in Active Learning},
  month = jul,
  note = {(oral)},
  year = {2023}
}

@inproceedings{brodie2023cost,
  author = {Brodie, Benjamin and Sastry, Srikumar and Birge, Jacob and Pless, Robert and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {A Cost-sensitive Approach to Dimensionality Reduction for Multispectral Imagery},
  month = jul,
  year = {2023},
  pdf = {https://mvrl.github.io/pdf/brodie2023cost.pdf}
}

@inproceedings{sastry2023ssl,
  author = {Sastry, Srikumar and Dhakal, Aayush and Brodie, Benjamin and Khanal, Subash and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {Explorations in Self-supervised Learning for Change Detection},
  note = {(oral)},
  month = jul,
  year = {2023},
  pdf = {https://mvrl.github.io/pdf/sastry2023ssl.pdf}
}

@inproceedings{archbold2023fine,
  author = {Archbold, Cohen and Brodie, Benjamin and Ogholbake, Aram Ansary and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {Fine-grained Property Value Assessment Using Probabilistic Disaggregation},
  pdf = {https://arxiv.org/pdf/2306.00246.pdf},
  month = jul,
  year = {2023}
}

@inproceedings{zhang2023segment,
  author = {Zhang, Yu and Rafique, M. Usman and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {{CrossSeg}: Cross-scene Few-shot Aerial Segmentation Using Probabilistic Prototypes},
  month = jul,
  note = {(oral)},
  year = {2023}
}

@article{zhu2022grsm,
  title = {Geoinformation Harvesting From Social Media Data: A community remote
                  sensing approach},
  author = {Zhu, Xiao Xiang and Wang, Yuanyuan and Kochupillai, Mrinalini and Werner, Martin and Haberle, Matthias and Hoffmann, Eike Jens and Taubenbock, Hannes and Tuia, Devis and Levering, Alex and Jacobs, Nathan and Kruspe, Anna and Abdulahhad, Karam},
  year = {2022},
  volume = {10},
  number = {4},
  month = dec,
  pdf = {https://arxiv.org/pdf/2211.00543},
  journal = {IEEE Geoscience and Remote Sensing Magazine},
  doi = {10.1109/MGRS.2022.3219584},
  pages = {150--180},
  note = {Impact factor: 8.225}
}

@inproceedings{shen2022pm,
  title = {Improving representation of the AOD to $PM_{2.5}$ relationship with a convolutional neural network},
  author = {Shen, Siyuan and van Donkelaar, Aaron and Martin, Randall V. and Jacobs, Nathan and Wang, Chenguang},
  day = {12},
  month = dec,
  year = {2022},
  booktitle = {American Geophysical Union (AGU) Fall Meeting Abstracts}
}

@inproceedings{workman2022nearremote,
  data_cite = {brooklyn_and_queens},
  author = {Workman, Scott and Rafique, M. Usman and Blanton, Hunter and Jacobs, Nathan},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  title = {Revisiting Near/Remote Sensing with Geospatial Attention},
  pdf = {https://arxiv.org/pdf/2204.01807},
  doi = {10.1109/CVPR52688.2022.00182},
  tweet = {https://twitter.com/multimodal_lab/status/1511779656684343299},
  note = {Acceptance rate: 25.33\%},
  month = jun,
  year = {2022}
}

@inproceedings{brodie2021embed,
  author = {Brodie, Benjamin and Khanal, Subash and Rafique, Muhammad Usman and Greenwell, Connor and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {Hierarchical Probabilistic Embeddings for Multi-View Image Classification},
  month = jul,
  doi = {10.1109/IGARSS47720.2021.9554405},
  pdf = {https://mvrl.github.io/pdf/brodie2021embed.pdf},
  year = {2021}
}

@article{tuia2021collective,
  title = {Towards a Collective Agenda on AI for Earth Science Data Analysis},
  author = {Tuia, Devis and Roscher, Ribana and Wegner, Jan Dirk and Jacobs, Nathan and Zhu, Xiao Xiang and Camps-Valls, Gustau},
  year = {2021},
  pdf = {https://arxiv.org/pdf/2104.05107},
  journal = {IEEE Geoscience and Remote Sensing Magazine},
  volume = {9},
  number = {2},
  month = jun,
  doi = {10.1109/MGRS.2020.3043504},
  pages = {88--104},
  publisher = {IEEE},
  note = {Impact factor: 8.225}
}

@inproceedings{chen2021safety,
  author = {Chen, Mei and Hadzic, Armin and Song, Weilian and Jacobs, Nathan},
  booktitle = {Transportation Research Board Workshop (Sponsored by AED50)},
  title = {Applications of Deep Machine Learning to Highway Safety and Usage Assessment},
  note = {(oral)},
  month = jan,
  year = {2021}
}

@article{zhu2020sinkhole,
  author = {Zhu, Junfeng and Nolte, Adam and Jacobs, Nathan and Ye, Ming},
  journal = {Journal of Hydrology},
  title = {Machine Learning in Identifying Karst Sinkholes from {LiDAR}-Derived Topographic Depressions in the {Bluegrass} Region of {Kentucky}},
  year = {2020},
  month = sep,
  doi = {10.1016/j.jhydrol.2020.125049},
  note = {Impact factor: 4.405}
}

@inproceedings{workman2020cloud,
  author = {Workman, Scott and Rafique, M. Usman and Blanton, Hunter and Greenwell, Connor and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  note = {(oral)},
  title = {Single Image Cloud Detection via Multi-Image Fusion},
  tweet = {https://twitter.com/jacobsn/status/1289301357019635712},
  pdf = {https://mvrl.github.io/pdf/workman2020cloud.pdf},
  doi = {10.1109/IGARSS39084.2020.9323759},
  month = jul,
  year = {2020},
  eprint = {2007.15144},
  archiveprefix = {arXiv},
}

@inproceedings{blanton2020surface,
  author = {Blanton, Hunter and Grate, Sean and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  tweet = {https://twitter.com/jacobsn/status/1294013341720084483},
  pdf = {https://mvrl.github.io/pdf/blanton2020surface.pdf},
  title = {Surface Modeling for Airborne {LiDAR}},
  doi = {10.1109/IGARSS39084.2020.9323522},
  note = {(oral)},
  month = jul,
  year = {2020},
}

@inproceedings{hadzic2020pop,
  author = {Hadzic, Armin and Christie, Gordon and Freeman, Jeffrey and Dismer, Amber and Bullard, Stevan and Greiner, Ashley and Jacobs, Nathan and Mukherjee, Ryan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {Estimating Displaced Populations from Overhead},
  tweet = {https://twitter.com/jacobsn/status/1278330759217139718},
  pdf = {https://arxiv.org/pdf/2006.14547},
  doi = {10.1109/IGARSS39084.2020.9324617},
  month = jul,
  year = {2020},
  eprint = {2006.14547},
  archiveprefix = {arXiv}
}

@inproceedings{hadzic2020rasternet,
  author = {Hadzic, Armin and Blanton, Hunter and Song, Weilian and Chen, Mei and Workman, Scott and Jacobs, Nathan},
  tweet = {https://twitter.com/jacobsn/status/1273208772576423938},
  booktitle = {IEEE/ISPRS Workshop: Large Scale Computer Vision for Remote Sensing (EARTHVISION)},
  title = {{RasterNet}: Modeling Free-Flow Speed using LiDAR and Overhead Imagery},
  note = {Acceptance rate: 26\%},
  month = jun,
  year = {2020},
  project = {https://mvrl.github.io/RasterNet},
  doi = {10.1109/CVPRW50498.2020.00112},
  video = {https://www.youtube.com/watch?v=IWKQoV6fXSk},
  pdf = {https://openaccess.thecvf.com/content_CVPRW_2020/papers/w11/Hadzic_RasterNet_Modeling_Free-Flow_Speed_Using_LiDAR_and_Overhead_Imagery_CVPRW_2020_paper.pdf},
}

@inproceedings{salem2020dynamic,
  author = {Salem, Tawfiq and Workman, Scott and Jacobs, Nathan},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  title = {Learning a Dynamic Map of Visual Appearance},
  doi = {10.1109/CVPR42600.2020.01245},
  month = jun,
  year = {2020},
  date-modified = {2020-03-31 16:54:47 -0400},
  project = {https://tsalem.github.io/DynamicMaps/},
  note = {Acceptance rate: 25\%},
  pdf = {http://openaccess.thecvf.com/content_CVPR_2020/papers/Salem_Learning_a_Dynamic_Map_of_Visual_Appearance_CVPR_2020_paper.pdf},
  video = {https://www.youtube.com/watch?v=OVTvgWLlJmM},
  tweet = {https://twitter.com/jacobsn/status/1272637141797961729},
}

@inproceedings{workman2020dynamic,
  doi = {10.1109/CVPR42600.2020.01233},
  author = {Workman, Scott and Jacobs, Nathan},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  date-modified = {2020-03-31 16:54:51 -0400},
  note = {Acceptance rate: 5.7\% (oral)},
  title = {Dynamic Traffic Modeling from Overhead Imagery},
  tweet = {https://twitter.com/jacobsn/status/1272916897542086658},
  month = jun,
  year = {2020},
  video = {https://www.youtube.com/watch?v=CNe5EEdyptE},
  project = {https://www.scottworkman.com/research/traffic/},
  arxiv = {https://arxiv.org/pdf/2012.10530},
  pdf = {http://openaccess.thecvf.com/content_CVPR_2020/papers/Workman_Dynamic_Traffic_Modeling_From_Overhead_Imagery_CVPR_2020_paper.pdf}
}

@article{maretto2020forest,
  author = {Maretto, Raian V. and Fonseca, Leila M. G. and Jacobs, Nathan B. and K\"orting, Thales S. and Bendini, Hugo N. and Parente, Leandro L.},
  journal = {IEEE Geoscience and Remote Sensing Letters},
  note = {Impact factor: 3.534},
  doi = {10.1109/LGRS.2020.2986407},
  title = {Spatio-Temporal Deep Learning Approach to Map Deforestation in {Amazon} Rainforest},
  day = {28},
  month = apr,
  year = {2020},
  volume = {18},
  number = {5},
  pages = {771--775}
}

@misc{jacobs2020network,
  title = {Network Architecture for Generating a Labeled Overhead Image},
  author = {Jacobs, Nathan and Workman, Scott},
  year = {2020},
  month = jan,
  publisher = {Google Patents},
  note = {US Patent App. 16/045,606}
}

@article{hamraz2019deep,
  author = {Hamraz, Hamid and Jacobs, Nathan B. and Contreras, Marco A. and Clark, Chase H.},
  doi = {10.1016/j.isprsjprs.2019.10.011},
  issn = {0924-2716},
  journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
  note = {Impact factor: 6.946},
  pages = {219--230},
  pdf = {https://arxiv.org/pdf/1802.08872},
  title = {{Deep Learning for Conifer/Deciduous Classification of
                  Airborne LiDAR 3D Point Clouds Representing Individual Trees}},
  volume = {158},
  year = {2019},
  month = oct,
  eprint = {1802.08872},
  archiveprefix = {arXiv}
}

@inproceedings{greenwell2019implicit,
  author = {Greenwell, Connor and Workman, Scott and Jacobs, Nathan},
  booktitle = {IEEE Applied Imagery and Pattern Recognition (AIPR)},
  title = {Implicit Land Use Mapping Using Social Media Imagery},
  note = {(oral)},
  doi = {10.1109/AIPR47015.2019.9174570},
  pdf = {https://mvrl.github.io/pdf/greenwell2019implicit.pdf},
  month = oct,
  year = {2019},
}

@inproceedings{salem2019anything,
  author = {Salem, Tawfiq and Greenwell, Connor and Blanton, Hunter and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {Learning to Map Nearly Anything},
  note = {(oral)},
  pdf = {https://arxiv.org/pdf/1909.06928},
  doi = {10.1109/IGARSS.2019.8900646},
  month = jul,
  year = {2019}
}

@inproceedings{song2019speed,
  author = {Song, Weilian and Salem, Tawfiq and Blanton, Hunter and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {Remote Estimation of Free-Flow Speeds},
  tweet = {https://twitter.com/multimodal_lab/status/1352269143400132610},
  note = {(oral)},
  doi = {10.1109/IGARSS.2019.8900286},
  pdf = {https://arxiv.org/pdf/1906.10104},
  month = jul,
  year = {2019},
  eprint = {1906.10104},
  archiveprefix = {arXiv}
}

@inproceedings{rafique2019buildings,
  author = {Rafique, M. Usman and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {Weakly Supervised Building Segmentation from Aerial Images},
  doi = {10.1109/IGARSS.2019.8898812},
  pdf = {https://mvrl.github.io/pdf/rafique2019buildings.pdf},
  month = jul,
  year = {2019},
}

@inproceedings{rafique2019fusion,
  author = {Rafique, M. Usman and Blanton, Hunter and Jacobs, Nathan},
  booktitle = {IEEE/ISPRS Workshop: Large Scale Computer Vision for Remote Sensing (EARTHVISION)},
  note = {Acceptance rate: 23.5\%},
  pdf = {http://openaccess.thecvf.com/content_CVPRW_2019/papers/EarthVision/Rafique_Weakly_Supervised_Fusion_of_Multiple_Overhead_Images_CVPRW_2019_paper.pdf},
  title = {Weakly Supervised Fusion of Multiple Overhead Images},
  tweet = {https://twitter.com/m_usmanrafique/status/1118352613752356864},
  doi = {10.1109/CVPRW.2019.00189},
  month = jun,
  year = {2019}
}

@inproceedings{zhu2019lidar,
  author = {Zhu, Junfeng and Nolte, Adam M and Jacobs, Nathan and Ye, Ming},
  booktitle = {Kentucky Water Resources Annual Symposium},
  title = {Incorporating Machine Learning with {LiDAR} for Delineating Sinkholes},
  month = mar,
  year = {2019},
  pdf = {https://mvrl.github.io/pdf/zhu2019lidar.pdf}
}

@inproceedings{salem2018soundscape,
  data_cite = {cvsound},
  author = {Salem, Tawfiq and Zhai, Menghua and Workman, Scott and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  pdf = {https://tsalem.github.io/audio-mapping/papers/salem2018soundscape.pdf},
  project = {https://tsalem.github.io/audio-mapping/},
  doi = {10.1109/IGARSS.2018.8517977},
  title = {A Multimodal Approach to Mapping Soundscapes},
  month = jul,
  year = {2018}
}

@inproceedings{greenwell2018objects,
  author = {Greenwell, Connor and Workman, Scott and Jacobs, Nathan},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  project = {https://connorgreenwell.github.io/publication/what_goes_where/},
  title = {What Goes Where: Predicting Object Distributions from Above},
  pdf = {https://arxiv.org/pdf/1808.00995},
  doi = {10.1109/IGARSS.2018.8519251},
  month = jul,
  year = {2018},
  eprint = {1808.00995},
  archiveprefix = {arXiv}
}

@inproceedings{workman2017nearremote,
  data_cite = {brooklyn_and_queens},
  author = {Workman, Scott and Zhai, Menghua and Crandall, David and Jacobs, Nathan},
  booktitle = {IEEE International Conference on Computer Vision (ICCV)},
  project = {https://www.scottworkman.com/research/unified/},
  pdf = {https://arxiv.org/pdf/1708.03035},
  title = {A Unified Model for Near and Remote Sensing},
  note = {Acceptance rate: 28.9\%},
  doi = {10.1109/ICCV.2017.293},
  month = oct,
  year = {2017},
  eprint = {1708.03035},
  archiveprefix = {arXiv}
}

@inproceedings{workman2017scenic,
  author = {Workman, Scott and Souvenir, Richard and Jacobs, Nathan},
  booktitle = {IEEE International Conference on Computer Vision (ICCV)},
  project = {https://www.scottworkman.com/research/scenicness/},
  title = {Understanding and Mapping Natural Beauty},
  doi = {10.1109/ICCV.2017.596},
  note = {Acceptance rate: 28.9\%},
  pdf = {https://arxiv.org/pdf/1612.03142},
  month = oct,
  year = {2017},
  eprint = {1612.03142},
  archiveprefix = {arXiv}
}

@inproceedings{jacobs2016crossview,
  author = {Jacobs, Nathan and Workman, Scott and Zhai, Menghua},
  booktitle = {IEEE Applied Imagery and Pattern Recognition (AIPR)},
  title = {Crossview Convolutional Networks},
  note = {(oral)},
  pdf = {https://mvrl.github.io/pdf/jacobs2016crossview.pdf},
  doi = {10.1109/AIPR.2016.8010593},
  month = oct,
  year = {2016}
}

@article{jacobs2016cloudmap_journal,
  author = {Jacobs, Nathan and Workman, Scott and Souvenir, Richard},
  doi = {10.1016/j.imavis.2016.05.013},
  journal = {Image and Vision Computing (IVC)},
  month = aug,
  note = {Impact factor: 1.766},
  pages = {154--166},
  pdf = {https://mvrl.github.io/pdf/jacobs2016cloudmap_journal.pdf},
  project = {/research/clouds/index.html},
  title = {Cloudmaps from Static Ground-View Video},
  volume = {52},
  year = {2016}
}

@inproceedings{murdock2015cloudmap,
  doi = {10.1109/ICCV.2015.85},
  author = {Murdock, Calvin and Jacobs, Nathan and Pless, Robert},
  booktitle = {IEEE International Conference on Computer Vision (ICCV)},
  pages = {1--9},
  pdf = {http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Murdock_Building_Dynamic_Cloud_ICCV_2015_paper.pdf},
  note = {Acceptance rate: 30.3\%},
  title = {Building Dynamic Cloud Maps from the Ground Up},
  month = oct,
  year = {2015}
}

@inproceedings{baltenberger2013aerial,
  author = {Baltenberger, Ryan and Knochelman, James and Workman, Scott and Islam, Mohammad T. and Jacobs, Nathan and Griffioen, James},
  booktitle = {Kentucky GIS Conference},
  note = {Best Student Presentation},
  title = {Constructing a High-Resolution Mosaic of Kentucky Lake},
  month = oct,
  year = {2013}
}

@inproceedings{zhou2013voeis,
  author = {Zhou, Xuzi and Workman, Scott and Islam, Mohammad T. and Jacobs, Nathan and Griffioen, James},
  booktitle = {Symposium in the Mathematical, Statistical and Computer Sciences},
  note = {Best Student Presentation},
  title = {Cyber Infrastructure for the {VOEIS} Project},
  month = jun,
  year = {2013}
}

@inproceedings{murdock2013clouds,
  author = {Murdock, Calvin and Jacobs, Nathan and Pless, Robert},
  booktitle = {IEEE Workshop on Applications of Computer Vision (WACV)},
  doi = {10.1109/WACV.2013.6475021},
  note = {Acceptance rate: 40\%},
  pages = {214--221},
  pdf = {https://www2.seas.gwu.edu/%7epless/papers/wacv2013Clouds.pdf},
  title = {{Webcam2Satellite}: Estimating Cloud Maps from Webcam Imagery},
  month = jan,
  year = {2013}
}

@inproceedings{jacobs12aerial,
  author = {Workman, Scott and Knochelmann, James and Jacobs, Nathan and White, David S. and Hauer, Richard},
  booktitle = {Kentucky EPSCoR Conference},
  title = {Registration and Visualization of Scientific Aerial Imagery at {Kentucky Lake}},
  month = oct,
  year = {2012}
}

@inproceedings{welty2012update,
  author = {Welty, Ethan and Pfeffer, Tad and O'Neel, Shad and Jacobs, Nathan},
  booktitle = {Workshop on the Dynamics and Mass Budget of Arctic Glaciers},
  title = {Calving Dynamics of the {Columbia Glacier, AK} (2000-2011 Update)},
  month = aug,
  year = {2012}
}

@inproceedings{wang2011ky,
  author = {Wang, Peishing and Bhattacharyya, Siddhartha and White, David and Jacobs, Nathan},
  booktitle = {Kentucky EPSCoR Conference},
  title = {Visualization of {Kentucky Lake}},
  month = oct,
  year = {2011}
}

@techreport{jacobsthesis,
  author = {Jacobs, Nathan},
  institution = {Computer Science and Engineering, Washington University in St. Louis, MO, USA},
  month = may,
  title = {Discovering, Localizing, Calibrating, and Using Thousands of Outdoor Webcams},
  pdf = {https://mvrl.github.io/pdf/nathan_jacobs_dissertation.pdf},
  year = {2010}
}