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Earth observation (EO) spans a broad spectrum of modalities, including optical, radar, multispectral, and hyperspectral data, each capturing distinct environmental signals.
So2Sat LCZ42: A benchmark dataset for global local climate zones classification
Zhu, X. X.; Hu, J.; Qiu, C.; Shi, Y.; Kang, J.; Mou, L.; Bagheri, H.; Häberle, M.; Hua, Y.; Huang, R.; et al. 2019 · 1912
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An image is worth 16x16 words: Transformers for image recognition at scale
Dosovitskiy, A.; Beyer, L.; Kolesnikov, A.; Weissenborn, D.; Zhai, X.; Unterthiner, T.; Dehghani, M.; Minderer, M.; Heigold, G.; Gelly, S.; et al. 2020 · 2010
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The EnMAP spaceborne imaging spectroscopy mission for Earth observation
Guanter, L.; Kaufmann, H.; Segl, K.; Foerster, S.; Rogass, C.; Chabrillat, S.; Kuester, T.; Hollstein, A.; Rossner, G.; Chlebek, C.; et al. 2015 · 2015
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Remote sensing image scene classification: Benchmark and state of the art
Cheng, G.; Han, J.; and Lu, X. 2017 · 2017
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RSI-CB: A large scale remote sensing image classification benchmark via crowdsource data
Li, H.; Dou, X.; Tao, C.; Hou, Z.; Chen, J.; Peng, J.; Deng, M.; and Zhao, L. 2017 · 2017
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Planet dump retrieved from https://planet.osm.org
OpenStreetMap contributors. 2017 · 2017
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Attention is all you need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł.; and Polosukhin, I. 2017 · 2017
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AID: A benchmark data set for performance evaluation of aerial scene classification
Xia, G.-S.; Hu, J.; Hu, F.; Shi, B.; Bai, X.; Zhong, Y.; Zhang, L.; and Lu, X. 2017 · 2017
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Deep learning in remote sensing: A comprehensive review and list of resources
Zhu, X. X.; Tuia, D.; Mou, L.; Xia, G.-S.; Zhang, L.; Xu, F.; and Fraundorfer, F. 2017 · 2017
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Functional map of the world
Christie, G.; Fendley, N.; Wilson, J.; and Mukherjee, R. 2018 · 2018
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DOTA: A large-scale dataset for object detection in aerial images
Xia, G.-S.; Bai, X.; Ding, J.; Zhu, Z.; Belongie, S.; Luo, J.; Datcu, M.; Pelillo, M.; and Zhang, L. 2018 · 2018
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PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval
Zhou, W.; Newsam, S.; Li, C.; and Shao, Z. 2018 · 2018
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Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification
Helber, P.; Bischke, B.; Dengel, A.; and Borth, D. 2019 · 2019
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Bigearthnet: A large-scale benchmark archive for remote sensing image understanding
Sumbul, G.; Charfuelan, M.; Demir, B.; and Markl, V. 2019 · 2019
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High-Resolution SAR Ship Object Detection Dataset - 2.0
Sun, X.; Sun, Y.; and Wang, Z. 2020 · 2020
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HRSID: A high-resolution SAR images dataset for ship detection and instance segmentation
Wei, S.; Zeng, X.; Qu, Q.; Wang, M.; Su, H.; and Shi, J. 2020 · 2020
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On creating benchmark dataset for aerial image interpretation: Reviews, guidances, and million-aid
Long, Y.; Xia, G.-S.; Li, S.; Yang, W.; Yang, M. Y.; Zhu, X. X.; Zhang, L.; and Li, D. 2021 · 2021
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Learning transferable visual models from natural language supervision
Radford, A.; Kim, J. W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al. 2021 · 2021
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A benchmark dataset for canopy crown detection and delineation in co-registered airborne RGB, LiDAR and hyperspectral imagery from the National Ecological Observation Network
Weinstein, B. G.; Graves, S. J.; Marconi, S.; Singh, A.; Zare, A.; Stewart, D.; Bohlman, S. A.; and White, E. P. 2021 · 2021
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A lightweight multi-scale crossmodal text-image retrieval method in remote sensing
Yuan, Z.; Zhang, W.; Rong, X.; Li, X.; Chen, J.; Wang, H.; Fu, K.; and Sun, X. 2021 · 2021
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SAR ship detection dataset (SSDD): Official release and comprehensive data analysis
Zhang, T.; Zhang, X.; Li, J.; Xu, X.; Wang, B.; Zhan, X.; Xu, Y.; Ke, X.; Zeng, T.; Su, H.; et al. 2021 · 2021
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Remote sensing dataset for detecting cows from high resolution aerial images
Abuaiadah, D.; and Switzer, A. 2022 · 2022
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Pali: A jointly-scaled multilingual language-image model
Chen, X.; Wang, X.; Changpinyo, S.; Piergiovanni, A.; Padlewski, P.; Salz, D.; Goodman, S.; Grycner, A.; Mustafa, B.; Beyer, L.; et al. 2022 · 2022
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SatMAE: Pre-training transformers for temporal and multi-spectral satellite imagery
Cong, Y.; Khanna, S.; Meng, C.; Liu, P.; Rozi, E.; He, Y.; Burke, M.; Lobell, D.; and Ermon, S. 2022 · 2022
SSL4EO-L: Datasets and foundation models for Landsat imagery
Stewart, A.; Lehmann, N.; Corley, I.; Wang, Y.; Chang, Y.-C.; Ait Ali Braham, N. A.; Sehgal, S.; Robinson, C.; and Banerjee, A. 2023 · 2023
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Sigmoid loss for language image pre-training
Zhai, X.; Mustafa, B.; Kolesnikov, A.; and Beyer, L. 2023 · 2023
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Zhu, B.; Lin, B.; Ning, M.; Yan, Y.; Cui, J.; Wang, H.; Pang, Y.; Jiang, W.; Zhang, J.; Li, Z.; et al. 2023 · 2023
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Agrawal, P.; Antoniak, S.; Hanna, E. B.; Bout, B.; Chaplot, D.; Chudnovsky, J.; Costa, D.; De Monicault, B.; Garg, S.; Gervet, T.; et al. 2024 · 2024
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Spectralearth: Training hyperspectral foundation models at scale
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Patching open-vocabulary models by interpolating weights
Ilharco, G.; Wortsman, M.; Gadre, S. Y.; Song, S.; Hajishirzi, H.; Kornblith, S.; Farhadi, A.; and Schmidt, L. 2022 · 2022
Cited alongside, same era.
Mmflood: A multimodal dataset for flood delineation from satellite imagery
Montello, F.; Arnaudo, E.; and Rossi, C. 2022 · 2022
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TorchGeo: Deep Learning With Geospatial Data
Stewart, A. J.; Robinson, C.; Corley, I. A.; Ortiz, A.; Lavista Ferres, J. M.; and Banerjee, A. 2022 · 2022
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Getting vit in shape: Scaling laws for compute-optimal model design
Alabdulmohsin, I. M.; Zhai, X.; Kolesnikov, A.; and Beyer, L. 2023 · 2023
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Satlaspretrain: A large-scale dataset for remote sensing image understanding
Bastani, F.; Wolters, P.; Gupta, R.; Ferdinando, J.; and Kembhavi, A. 2023 · 2023
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Bountos, N. I.; Ouaknine, A.; and Rolnick, D. 2023 · 2023
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CROMA: Remote sensing representations with contrastive radar-optical masked autoencoders
Fuller, A.; Millard, K.; and Green, J. R. 2023 · 2023
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Braham, N. A. A.; Albrecht, C. M.; Mairal, J.; Chanussot, J.; Wang, Y.; and Zhu, X. X. 2024 · 2024
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Skysense: A multi-modal remote sensing foundation model towards universal interpretation for earth observation imagery
Guo, X.; Lao, J.; Dang, B.; Zhang, Y.; Yu, L.; Ru, L.; Zhong, L.; Huang, Z.; Wu, K.; Hu, D.; et al. 2024 · 2024
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SpectralGPT: Spectral remote sensing foundation model
Hong, D.; Zhang, B.; Li, X.; Li, Y.; Li, C.; Yao, J.; Yokoya, N.; Li, H.; Ghamisi, P.; Jia, X.; et al. 2024 · 2024
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Teochat: A large vision-language assistant for temporal earth observation data
Irvin, J. A.; Liu, E. R.; Chen, J. C.; Dormoy, I.; Kim, J.; Khanna, S.; Zheng, Z.; and Ermon, S. 2024 · 2024
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Detecting marine pollutants and sea surface features with deep learning in sentinel-2 imagery
Kikaki, K.; Kakogeorgiou, I.; Hoteit, I.; and Karantzalos, K. 2024 · 2024
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Geochat: Grounded large vision-language model for remote sensing
Kuckreja, K.; Danish, M. S.; Naseer, M.; Das, A.; Khan, S.; and Khan, F. S. 2024 · 2024
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Geo-bench: Toward foundation models for earth monitoring
Lacoste, A.; Lehmann, N.; Rodriguez, P.; Sherwin, E.; Kerner, H.; Lütjens, B.; Irvin, J.; Dao, D.; Alemohammad, H.; Drouin, A.; et al. 2024 · 2024
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Vrsbench: A versatile vision-language benchmark dataset for remote sensing image understanding
Li, X.; Ding, J.; and Elhoseiny, M. 2024 · 2024
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Remoteclip: A vision language foundation model for remote sensing
Liu, F.; Chen, D.; Guan, Z.; Zhou, X.; Zhu, J.; Ye, Q.; Fu, L.; and Zhou, J. 2024 · 2024
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Cross-Scale MAE: A tale of multiscale exploitation in remote sensing
Tang, M.; Cozma, A.; Georgiou, K.; and Qi, H. 2024 · 2024
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Chatearthnet: A global-scale image-text dataset empowering vision-language geo-foundation models
Yuan, Z.; Xiong, Z.; Mou, L.; and Zhu, X. X. 2024 · 2024
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On the foundations of earth and climate foundation models
Zhu, X. X.; Xiong, Z.; Wang, Y.; Stewart, A. J.; Heidler, K.; Wang, Y.; Yuan, Z.; Dujardin, T.; Xu, Q.; and Shi, Y. 2024 · 2024
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Evolutionary optimization of model merging recipes
Akiba, T.; Shing, M.; Tang, Y.; Sun, Q.; and Ha, D. 2025 · 2025
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Taxabind: A unified embedding space for ecological applications
Sastry, S.; Khanal, S.; Dhakal, A.; Ahmad, A.; and Jacobs, N. 2025 · 2025
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Skyeyegpt: Unifying remote sensing vision-language tasks via instruction tuning with large language model
Zhan, Y.; Xiong, Z.; and Yuan, Y. 2025 · 2025
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