@article{Lucas2023,
    title = {{A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping}},
    year = {2023},
    journal = {Machine Learning},
    author = {Lucas, Benjamin and Pelletier, Charlotte and Schmidt, Daniel and Webb, Geoffrey I. and Petitjean, François},
    number = {6},
    pages = {1941--1973},
    volume = {112},
    doi = {10.1007/s10994-020-05942-z},
    issn = {15730565},
    arxivId = {2005.11930},
    keywords = {Deep learning, Domain adaptation, Earth observation, Land cover mapping, Remote sensing, Satellite image time series}
}

@article{Lucas2023b,
    title = {{A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping}},
    year = {2023},
    journal = {Machine Learning},
    author = {Lucas, Benjamin and Pelletier, Charlotte and Schmidt, Daniel and Webb, Geoffrey I. and Petitjean, François},
    number = {6},
    pages = {1941--1973},
    volume = {112},
    doi = {10.1007/s10994-020-05942-z},
    issn = {15730565},
    arxivId = {2005.11930},
    keywords = {Deep learning, Domain adaptation, Earth observation, Land cover mapping, Remote sensing, Satellite image time series}
}

@article{Cha2024,
    title = {{A Billion-scale Foundation Model for Remote Sensing Images}},
    year = {2024},
    journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
    author = {Cha, Keumgang and Seo, Junghoon and Lee, Taekyung},
    pages = {1--17},
    doi = {10.1109/JSTARS.2024.3401772},
    issn = {21511535},
    arxivId = {2304.05215},
    keywords = {Computational modeling, Computer vision, Data models, Foundation Model, Masked Image Modeling, Object Detection, Pretraining, Remote Sensing, Remote sensing, Scaling Vision Transformer, Self Supervised Learning, Semantic Segmentation, Sensors, Task analysis, Transformers}
}

@article{balestriero2023cookbookselfsupervisedlearning,
    title = {{A Cookbook of Self-Supervised Learning}},
    year = {2023},
    author = {Balestriero, Randall and Ibrahim, Mark and Sobal, Vlad and Morcos, Ari and Shekhar, Shashank and Goldstein, Tom and Bordes, Florian and Bardes, Adrien and Mialon, Gregoire and Tian, Yuandong and Schwarzschild, Avi and Wilson, Andrew Gordon and Geiping, Jonas and Garrido, Quentin and Fernandez, Pierre and Bar, Amir and Pirsiavash, Hamed and LeCun, Yann and Goldblum, Micah},
    url = {http://arxiv.org/abs/2304.12210},
    arxivId = {2304.12210}
}

@article{Papadomanolaki2021,
    title = {{A Deep Multitask Learning Framework Coupling Semantic Segmentation and Fully Convolutional LSTM Networks for Urban Change Detection}},
    year = {2021},
    journal = {IEEE Transactions on Geoscience and Remote Sensing},
    author = {Papadomanolaki, Maria and Vakalopoulou, Maria and Karantzalos, Konstantinos},
    number = {9},
    pages = {7651--7668},
    volume = {59},
    doi = {10.1109/TGRS.2021.3055584},
    issn = {15580644},
    keywords = {Change detection, deep learning, long short-term memory networks (LSTMs), multitemporal, remote sensing, satellite, urban}
}

@article{Huang2025,
    title = {{A Survey on Remote Sensing Foundation Models: From Vision to Multimodality}},
    year = {2025},
    author = {Huang, Ziyue and Yan, Hongxi and Zhan, Qiqi and Yang, Shuai and Zhang, Mingming and Zhang, Chenkai and Lei, YiMing and Liu, Zeming and Liu, Qingjie and Wang, Yunhong},
    pages = {1--29},
    url = {http://arxiv.org/abs/2503.22081},
    arxivId = {2503.22081}
}

@article{DAndrimont2024,
    title = {{Advancements in LUCAS Copernicus 2022: Enhancing Earth Observation with Comprehensive In-Situ Data on EU Land Cover and Use [preprint]}},
    year = {2024},
    journal = {Earth System Science Data},
    author = {d'Andrimont, Raphaël and Yordanov, Momchil and Sedano, Fernando and Verhegghen, Astrid and Strobl, Peter and Zachariadis, Savvas and Camilleri, Flavia and Palmieri, Alessandra and Eiselt, Beatrice and Iglesias, Jose Miguel Rubio and van der Velde, Marijn},
    pages = {5723--5735}
}

@article{Lu2024a,
    title = {{AI Foundation Models in Remote Sensing: A Survey}},
    year = {2024},
    author = {Lu, Siqi and Guo, Junlin and Zimmer-Dauphinee, James R and Nieusma, Jordan M and Wang, Xiao and VanValkenburgh, Parker and Wernke, Steven A and Huo, Yuankai},
    pages = {1--21},
    url = {http://arxiv.org/abs/2408.03464},
    arxivId = {2408.03464}
}

@article{Zhang2024b,
    title = {{ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything Model}},
    year = {2024},
    author = {Zhang, Song and Wang, Qingzhong and Liu, Junyi and Xiong, Haoyi},
    url = {http://arxiv.org/abs/2406.10855},
    arxivId = {2406.10855}
}

@inproceedings{ChenMoco2021,
    title = {{An Empirical Study of Training Self-Supervised Vision Transformers Xinlei}},
    year = {2021},
    booktitle = {ICCV},
    author = {Chen, Xinlei and Xie, Saining},
    pages = {9640--9649},
    url = {https://github.com/facebookresearch/moco-v3}
}

@article{Astruc2024a,
    title = {{AnySat: An Earth Observation Model for Any Resolutions, Scales, and Modalities}},
    year = {2024},
    author = {Astruc, Guillaume and Gonthier, Nicolas and Mallet, Clement and Landrieu, Loic},
    url = {http://arxiv.org/abs/2412.14123},
    arxivId = {2412.14123}
}

@inproceedings{Han2024,
    title = {{Bridging Remote Sensors with Multisensor Geospatial Foundation Models}},
    year = {2024},
    booktitle = {CVPR},
    author = {Han, Boran and Zhang, Shuai and Shi, Xingjian and Reichstein, Markus},
    pages = {27852--27862},
    url = {http://arxiv.org/abs/2404.01260},
    arxivId = {2404.01260}
}

@article{Boogaard2023,
    title = {{Building a community-based open harmonised reference data repository for global crop mapping}},
    year = {2023},
    journal = {PLoS ONE},
    author = {Boogaard, Hendrik and Pratihast, Arun Kumar and Bayas, Juan Carlos Laso and Karanam, Santosh and Fritz, Steffen and Van Tricht, Kristof and Degerickxi, Jeroen and Gilliams, Sven},
    number = {7 July},
    pages = {1--16},
    volume = {18},
    url = {http://dx.doi.org/10.1371/journal.pone.0287731},
    isbn = {1111111111},
    doi = {10.1371/journal.pone.0287731},
    issn = {19326203},
    pmid = {37440484}
}

@article{Garcia2022,
    title = {{CatLC: Catalonia Multiresolution Land Cover Dataset}},
    year = {2022},
    journal = {Scientific Data},
    author = {Garc{\'{i}}a, Carlos and Mora, Oscar and P{\'{e}}rez-Arag{\"{u}}{\'{e}}s, Fernando and Vitri{\`{a}}, Jordi},
    number = {1},
    pages = {1--13},
    volume = {9},
    isbn = {4159702201},
    doi = {10.1038/s41597-022-01674-y},
    issn = {20524463},
    pmid = {36075903}
}

@article{Mall2023,
    title = {{Change-Aware Sampling and Contrastive Learning for Satellite Images}},
    year = {2023},
    journal = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
    author = {Mall, Utkarsh and Hariharan, Bharath and Bala, Kavita},
    pages = {5261--5270},
    volume = {2023-June},
    isbn = {9798350301298},
    doi = {10.1109/CVPR52729.2023.00509},
    issn = {10636919},
    keywords = {Self-supervised or unsupervised representation lea}
}

@article{Jia2019,
    title = {{Classifying heterogeneous sequential data by cyclic domain adaptation: An application in land cover detection}},
    year = {2019},
    journal = {SIAM International Conference on Data Mining, SDM 2019},
    author = {Jia, Xiaowei and Nayak, Guruprasad and Khandelwal, Ankush and Karpatne, Anuj and Kumar, Vipin},
    pages = {540--548},
    isbn = {9781611975673},
    doi = {10.1137/1.9781611975673.61}
}

@article{Jia2019b,
    title = {{Classifying heterogeneous sequential data by cyclic domain adaptation: An application in land cover detection}},
    year = {2019},
    journal = {SIAM International Conference on Data Mining, SDM 2019},
    author = {Jia, Xiaowei and Nayak, Guruprasad and Khandelwal, Ankush and Karpatne, Anuj and Kumar, Vipin},
    pages = {540--548},
    isbn = {9781611975673},
    doi = {10.1137/1.9781611975673.61}
}

@article{Ulloa2024,
    title = {{Contribution to the Knowledge of Cetacean Strandings in Chile between 2015 and 2020}},
    year = {2024},
    journal = {Oceans},
    author = {Ulloa, Mauricio and Rivero, Miguel A and Fern{\'{a}}ndez, Antonio},
    number = {1},
    pages = {1--20},
    volume = {5},
    doi = {10.3390/oceans5010001},
    issn = {26731924},
    keywords = {Chile, cetaceans, misticeti, odontoceti, pathology, strandings}
}

@article{Fretwell2019,
    title = {{Correction: Using remote sensing to detect whale strandings in remote areas: The case of sei whales mass mortality in Chilean Patagonia}},
    year = {2019},
    journal = {PLoS ONE},
    author = {Fretwell, Peter T. and Jackson, Jennifer A and Ulloa Encina, Mauricio J. and H{\"{a}}ussermann, Vreni and Perez Alvarez, Maria J. and Olavarr{\'{i}}a, Carlos and Gutstein, Carolina S.},
    number = {11},
    pages = {1--17},
    volume = {14},
    isbn = {1111111111},
    doi = {10.1371/journal.pone.0225209},
    issn = {19326203},
    pmid = {31697790}
}

@article{Fuller2023,
    title = {{CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders}},
    year = {2023},
    journal = {Advances in Neural Information Processing Systems},
    author = {Fuller, Anthony and Millard, Koreen and Green, James R.},
    number = {NeurIPS},
    pages = {1--33},
    volume = {36},
    issn = {10495258},
    arxivId = {2311.00566}
}

@article{Tang2023a,
    title = {{Cross-Scale MAE: A Tale of Multi-Scale Exploitation in Remote Sensing}},
    year = {2023},
    journal = {Advances in Neural Information Processing Systems},
    author = {Tang, Maofeng and Cozma, Andrei and Georgiou, Konstantinos and Qi, Hairong},
    number = {NeurIPS},
    pages = {1--13},
    volume = {36},
    issn = {10495258},
    arxivId = {2401.15855}
}

@article{Demir2018,
    title = {{DeepGlobe 2018: A challenge to parse the earth through satellite images}},
    year = {2018},
    journal = {IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops},
    author = {Demir, Ilke and Koperski, Krzysztof and Lindenbaum, David and Pang, Guan and Huang, Jing and Basu, Saikat and Hughes, Forest and Tuia, Devis and Raska, Ramesh},
    pages = {172--181},
    volume = {2018-June},
    isbn = {9781538661000},
    doi = {10.1109/CVPRW.2018.00031},
    issn = {21607516},
    arxivId = {1805.06561}
}

@article{Demir2018b,
    title = {{DeepGlobe 2018: A challenge to parse the earth through satellite images}},
    year = {2018},
    journal = {IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops},
    author = {Demir, Ilke and Koperski, Krzysztof and Lindenbaum, David and Pang, Guan and Huang, Jing and Basu, Saikat and Hughes, Forest and Tuia, Devis and Raska, Ramesh},
    pages = {172--181},
    volume = {2018-June},
    isbn = {9781538661000},
    doi = {10.1109/CVPRW.2018.00031},
    issn = {21607516},
    arxivId = {1805.06561}
}

@article{Karaman2023,
    title = {{Deforestation Detection in the Amazon With Sentinel-1 Sar Image Time Series}},
    year = {2023},
    journal = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
    author = {Karaman, Kaan and Garnot, Vivien Sainte Fare and Wegner, Jan Dirk},
    number = {1-W1-2023},
    pages = {835--842},
    volume = {10},
    doi = {10.5194/isprs-annals-X-1-W1-2023-835-2023},
    issn = {21949050},
    keywords = {Attention Mechanism, Deforestation Detection, Multi-Temporal Dataset, Synthetic Aperture Radar}
}

@inproceedings{Kondmann2021,
    title = {{DENETHOR : The DynamicEarthNET dataset for crop monitoring from space}},
    year = {2021},
    booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021)},
    author = {Kondmann, Lukas and Toker, Aysim and Ru{\ss}wurm, Marc and Camero, Andrés and Peressutti, Devis and Milcinski, Grega and Long{\'{e}}p{\'{e}}, Nicolas and Mathieu, Pierre-philippe},
    number = {NeurIPS},
    pages = {1--13}
}

@article{Ghassemi2022b,
    title = {{Designing a European-Wide Crop Type Mapping Approach Based on Machine Learning Algorithms Using LUCAS Field Survey and Sentinel-2 Data}},
    year = {2022},
    journal = {Remote Sensing},
    author = {Ghassemi, Babak and Dujakovic, Aleksandar and {\.{Z}}{\'{o}}{\l}tak, Mateusz and Immitzer, Markus and Atzberger, Clement and Vuolo, Francesco},
    number = {3},
    volume = {14},
    doi = {10.3390/rs14030541},
    issn = {20724292},
    keywords = {Crop type classification, LUCAS 2018, Random forest, Support vector machine}
}

@article{Minixhofer2021,
    title = {{DroughtED : A dataset and methodology for drought forecasting spanning multiple climate zones}},
    year = {2021},
    author = {Minixhofer, Christoph and Swan, Mark and Mcmeekin, Calum and Andreadis, Pavlos},
    url = {https://kaggle.com/cdminix/}
}

@article{Brown2022,
    title = {{Dynamic World, Near real-time global 10 m land use land cover mapping}},
    year = {2022},
    journal = {Scientific Data},
    author = {Brown, Christopher F. and Brumby, Steven P. and Guzder-Williams, Brookie and Birch, Tanya and Hyde, Samantha Brooks and Mazzariello, Joseph and Czerwinski, Wanda and Pasquarella, Valerie J. and Haertel, Robert and Ilyushchenko, Simon and Schwehr, Kurt and Weisse, Mikaela and Stolle, Fred and Hanson, Craig and Guinan, Oliver and Moore, Rebecca and Tait, Alexander M.},
    number = {1},
    pages = {1--17},
    volume = {9},
    publisher = {Springer US},
    isbn = {4159702201},
    doi = {10.1038/s41597-022-01307-4},
    issn = {20524463}
}

@inproceedings{Caron2021,
    title = {{Emerging Properties in Self-Supervised Vision Transformers}},
    year = {2021},
    booktitle = {ICCV},
    author = {Caron, Mathilde and Touvron, Hugo and Misra, Ishan and J{\'{e}}gou, Hervé and Mairal, Julien and Bojanowski, Piotr and Joulin, Armand},
    pages = {9650--9660},
    url = {http://arxiv.org/abs/2104.14294},
    doi = {10.1109/iccv48922.2021.00951},
    arxivId = {2104.14294}
}

@article{Russwurm2023,
    title = {{End-to-end learned early classification of time series for in-season crop type mapping}},
    year = {2023},
    journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
    author = {Ru{\ss}wurm, Marc and Courty, Nicolas and Emonet, Rémi and Lef{\`{e}}vre, Sébastien and Tuia, Devis and Tavenard, Romain},
    number = {October 2022},
    pages = {445--456},
    volume = {196},
    url = {https://doi.org/10.1016/j.isprsjprs.2022.12.016},
    doi = {10.1016/j.isprsjprs.2022.12.016},
    issn = {0924-2716},
    keywords = {Crop type mapping, Deep learning, Early classification, In-season crop type mapping, Satellite time series}
}

@article{zanaga2022esa,
    title = {{ESA WorldCover 10 m 2021 v200}},
    year = {2022},
    author = {Zanaga, Daniele and Van De Kerchove, Ruben and Daems, Dirk and De Keersmaecker, Wanda and Brockmann, Carsten and Kirches, Grit and Wevers, Jan and Cartus, Oliver and Santoro, Maurizio and Fritz, Steffen and {others}},
    publisher = {Zenodo}
}

@article{zanaga2022esab,
    title = {{ESA WorldCover 10 m 2021 v200}},
    year = {2022},
    author = {Zanaga, Daniele and Van De Kerchove, Ruben and Daems, Dirk and De Keersmaecker, Wanda and Brockmann, Carsten and Kirches, Grit and Wevers, Jan and Cartus, Oliver and Santoro, Maurizio and Fritz, Steffen and {others}},
    publisher = {Zenodo}
}

@article{Reuss2024,
    title = {{EuroCropsML: A Time Series Benchmark Dataset For Few-Shot Crop Type Classification}},
    year = {2024},
    author = {Reuss, Joana and Macdonald, Jan and Becker, Simon and Richter, Lorenz and K{\"{o}}rner, Marco},
    pages = {1--5},
    url = {http://arxiv.org/abs/2407.17458},
    arxivId = {2407.17458}
}

@article{Ghassemi2024,
    title = {{European Union crop map 2022: Earth observation's 10-meter dive into Europe's crop tapestry}},
    year = {2024},
    journal = {Scientific data},
    author = {Ghassemi, Babak and Izquierdo-Verdiguier, Emma and Verhegghen, Astrid and Yordanov, Momchil and Lemoine, Guido and Moreno Mart{\'{i}}nez, Álvaro and De Marchi, Davide and van der Velde, Marijn and Vuolo, Francesco and d'Andrimont, Raphaël},
    number = {1},
    pages = {1048},
    volume = {11},
    doi = {10.1038/s41597-024-03884-y},
    issn = {20524463},
    pmid = {39333522}
}

@article{Ghassemi2022c,
    title = {{Evaluation of Accuracy Enhancement in European-Wide Crop Type Mapping by Combining Optical and Microwave Time Series}},
    year = {2022},
    journal = {Land},
    author = {Ghassemi, Babak and Immitzer, Markus and Atzberger, Clement and Vuolo, Francesco},
    number = {9},
    volume = {11},
    doi = {10.3390/land11091397},
    issn = {2073445X},
    keywords = {Google Earth Engine, LUCAS 2018, Sentinel-1, Sentinel-2, crop type classification, machine learning, time series}
}

@inproceedings{Wenger2023,
    title = {{Exploring inference of a land use and land cover model trained on MultiSenGE dataset}},
    year = {2023},
    booktitle = {2023 Joint Urban Remote Sensing Event, JURSE 2023},
    author = {Wenger, Romain and Puissant, Anne and Weber, Jonathan and Idoumghar, Lhassane and Forestier, Germain},
    isbn = {9781665493734},
    doi = {10.1109/JURSE57346.2023.10144156},
    keywords = {Sentinel-1, Sentinel-2, inference, land cover, semantic segmentation, time series, urban fabric}
}

@inproceedings{Kerner2024,
    title = {{Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation}},
    year = {2025},
    booktitle = {AAAI},
    author = {Kerner, Hannah and Chaudhari, Snehal and Ghosh, Aninda and Robinson, Caleb and Ahmad, Adeel and Choi, Eddie and Jacobs, Nathan and Holmes, Chris and Mohr, Matthias and Dodhia, Rahul and Ferres, Juan M. Lavista and Marcus, Jennifer},
    url = {http://arxiv.org/abs/2409.16252},
    arxivId = {2409.16252}
}

@article{Garioud2023,
    title = {{FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery}},
    year = {2023},
    author = {Garioud, Anatol and Gonthier, Nicolas and Landrieu, Loic and De Wit, Apolline and Valette, Marion and Poup{\'{e}}e, Marc and Giordano, Sébastien and Wattrelos, Boris},
    number = {NeurIPS},
    pages = {1--27},
    url = {http://arxiv.org/abs/2310.13336},
    arxivId = {2310.13336}
}

@article{Garioud2023b,
    title = {{FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery}},
    year = {2023},
    author = {Garioud, Anatol and Gonthier, Nicolas and Landrieu, Loic and De Wit, Apolline and Valette, Marion and Poup{\'{e}}e, Marc and Giordano, Sébastien and Wattrelos, Boris},
    number = {NeurIPS},
    pages = {1--27},
    url = {http://arxiv.org/abs/2310.13336},
    arxivId = {2310.13336}
}

@article{Bountos2023,
    title = {{FoMo-Bench: a multi-modal, multi-scale and multi-task Forest Monitoring Benchmark for remote sensing foundation models}},
    year = {2023},
    author = {Bountos, Nikolaos Ioannis and Ouaknine, Arthur and Rolnick, David},
    url = {http://arxiv.org/abs/2312.10114},
    arxivId = {2312.10114}
}

@article{Jakubik2023a,
    title = {{Foundation Models for Generalist Geospatial Artificial Intelligence}},
    year = {2023},
    author = {Jakubik, Johannes and Roy, Sujit and Phillips, C. E. and Fraccaro, Paolo and Godwin, Denys and Zadrozny, Bianca and Szwarcman, Daniela and Gomes, Carlos and Nyirjesy, Gabby and Edwards, Blair and Kimura, Daiki and {Naomi Simumba} and Chu, Linsong and Mukkavilli, S. Karthik and Lambhate, Devyani and Das, Kamal and Bangalore, Ranjini and Oliveira, Dario and Muszynski, Michal and Ankur, Kumar and Ramasubramanian, Muthukumaran and Gurung, Iksha and Khallaghi, Sam and Li, Hanxi (Steve) and Cecil, Michael and Ahmadi, Maryam and Kordi, Fatemeh and Alemohammad, Hamed and Maskey, Manil and Ganti, Raghu and Weldemariam, Kommy and Ramachandran, Rahul},
    doi = {10.1038/s41586-023-05881-4},
    issn = {14764687},
    pmid = {37045921},
    arxivId = {arXiv:2310.18660v2}
}

@article{DAndrimont2021a,
    title = {{From parcel to continental scale – A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations}},
    year = {2021},
    journal = {Remote Sensing of Environment},
    author = {d'Andrimont, Raphaël and Verhegghen, Astrid and Lemoine, Guido and Kempeneers, Pieter and Meroni, Michele and van der Velde, Marijn},
    number = {May},
    volume = {266},
    doi = {10.1016/j.rse.2021.112708},
    issn = {00344257},
    arxivId = {2105.09261},
    keywords = {Classification, Climate change, Copernicus, Crop modeling, Crop production, Crop type, Crop yield forecasting, LUCAS, Monitoring, Parcel, Sentinel-1, Sentinel-2, Time series, Validation}
}

@article{Themyr2023,
    title = {{Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation}},
    year = {2023},
    journal = {Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023},
    author = {Themyr, Loic and Rambour, Clement and Thome, Nicolas and Collins, Toby and Hostettler, Alexandre},
    pages = {3223--3232},
    isbn = {9781665493468},
    doi = {10.1109/WACV56688.2023.00324},
    arxivId = {2212.07890},
    keywords = {Algorithms: Image recognition and understanding (o, Machine learning architectures, and algorithms (including transfer, low-shot, semi, formulations}
}

@article{Themyr2023b,
    title = {{Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation}},
    year = {2023},
    journal = {Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023},
    author = {Themyr, Loic and Rambour, Clement and Thome, Nicolas and Collins, Toby and Hostettler, Alexandre},
    pages = {3223--3232},
    isbn = {9781665493468},
    doi = {10.1109/WACV56688.2023.00324},
    arxivId = {2212.07890},
    keywords = {Algorithms: Image recognition and understanding (o, Machine learning architectures, and algorithms (including transfer, low-shot, semi, formulations}
}

@article{Tseng2025,
    title = {{Galileo: Learning Global and Local Features in Pretrained Remote Sensing Models}},
    year = {2025},
    author = {Tseng, Gabriel and Fuller, Anthony and Reil, Marlena and Herzog, Henry and Beukema, Patrick and Bastani, Favyen and Green, James R. and Shelhamer, Evan and Kerner, Hannah and Rolnick, David},
    url = {http://arxiv.org/abs/2502.09356},
    arxivId = {2502.09356}
}

@article{Nyborg2022,
    title = {{Generalized Classification of Satellite Image Time Series with Thermal Positional Encoding}},
    year = {2022},
    journal = {IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops},
    author = {Nyborg, Joachim and Pelletier, Charlotte and Assent, Ira},
    pages = {1391--1401},
    volume = {2022-June},
    isbn = {9781665487399},
    doi = {10.1109/CVPRW56347.2022.00145},
    issn = {21607516},
    arxivId = {2203.09175}
}

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}

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    journal = {Proceedings of Machine Learning Research},
    author = {Rolf, Esther and Worledge, Theodora and Recht, Benjamin and Jordan, Michael I.},
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    title = {{ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data}},
    year = {2020},
    journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
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    volume = {162},
    doi = {10.1016/j.isprsjprs.2020.01.013},
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}

@article{Noman2024,
    title = {{Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery}},
    year = {2024},
    journal = {CVPR},
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@article{Attard2024,
    title = {{Review of Satellite Remote Sensing and Unoccupied Aircraft Systems for Counting Wildlife on Land}},
    year = {2024},
    journal = {Remote Sensing},
    author = {Attard, Marie R.G. and Phillips, Richard A and Bowler, Ellen and Clarke, Penny J and Cubaynes, Hannah and Johnston, David W and Fretwell, Peter T},
    number = {4},
    pages = {1--23},
    volume = {16},
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}

@article{Zhang2021a,
    title = {{Revisiting Few-Sample Bert Fine-Tuning}},
    year = {2021},
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@inproceedings{Corley2023,
    title = {{Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters}},
    year = {2023},
    booktitle = {CVPR Workshops},
    author = {Corley, Isaac and Robinson, Caleb and Dodhia, Rahul and Ferres, Juan M. Lavista and Najafirad, Peyman},
    pages = {3162--3172},
    url = {http://arxiv.org/abs/2305.13456},
    isbn = {9798350365474},
    doi = {10.1109/CVPRW63382.2024.00322},
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}

@article{Yan2023,
    title = {{RingMo-SAM: A Foundation Model for Segment Anything in Multimodal Remote-Sensing Images}},
    year = {2023},
    journal = {IEEE Transactions on Geoscience and Remote Sensing},
    author = {Yan, Zhiyuan and Li, Junxi and Li, Xuexue and Zhou, Ruixue and Zhang, Wenkai and Feng, Yingchao and Diao, Wenhui and Fu, Kun and Sun, Xian},
    pages = {1--16},
    volume = {61},
    publisher = {IEEE},
    doi = {10.1109/TGRS.2023.3332219},
    issn = {15580644},
    keywords = {Multimodal remote-sensing images, prompt learning, segment anything model (SAM), semantic segmentation}
}

@article{Li2024h,
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    number = {NeurIPS},
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    year = {2025},
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    author = {Klemmer, Konstantin and Rolf, Esther and Robinson, Caleb and Mackey, Lester and Ru{\ss}wurm, Marc},
    url = {http://arxiv.org/abs/2311.17179},
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@article{Fretwell2023,
    title = {{Satellite image survey of beluga whales in the southern Kara Sea}},
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    number = {4},
    pages = {1204--1214},
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    doi = {10.1111/mms.13044},
    issn = {17487692},
    keywords = {Baydaratskaya Inlet, Delphinapterus leucas, Kara Sea, VHR, beluga, imagery, whale}
}

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@article{Bastani2023,
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    year = {2023},
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    title = {{SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery}},
    year = {2022},
    booktitle = {Advances in Neural Information Processing Systems},
    author = {Cong, Yezhen and Khanna, Samar and Meng, Chenlin and Liu, Patrick and Rozi, Erik and He, Yutong and Burke, Marshall and Lobell, David B. and Ermon, Stefano},
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@article{Degerickx2023,
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@article{Kirillov2023,
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@article{Kirillov2023b,
    title = {{Segment Anything}},
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@article{Zou2023,
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@article{Zou2023b,
    title = {{Segment Everything Everywhere All at Once}},
    year = {2023},
    author = {Zou, Xueyan and Yang, Jianwei and Zhang, Hao and Li, Feng and Li, Linjie and Gao, Jianfeng and Lee, Yong Jae},
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    year = {2025},
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}

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    year = {2023},
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    keywords = {Data Fusion, Dataset, Deep Learning, Machine Learning, Multi-Spectral Imagery, Optical Remote Sensing, Remote Sensing, Sentinel-1, Sentinel-2, Synthetic Aperture Radar (SAR)}
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}

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