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The availability of curated large-scale training data is a crucial factor for the development of well-generalizing deep learning methods for the extraction of geoinformation from multi-sensor remote sensing imagery.
Cloud-Net: An end-to-end cloud detection algorithm for Landsat 8 imagery
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BigEarthNet: A large-scale benchmark archive for remote sensing image understanding
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220 band AVIRIS hyperspectral image data set: June 12, 1992 Indian Pine Test Site 3
Baumgardner, M. F., Biehl, L. L. and Landgrebe, D. A., 2015 · 1947
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The international geosphere biosphere programme data and information system global land cover data set (DISCover)
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Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 land cover product
Sulla-Menashe, D., Gray, J. M., Abercrombie, S. P. and Friedl, M. A., 2019 · 2001
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Land cover classification system: classification concepts and user manual: LCCS
Di Gregorio, A., 2005 · 2005
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The Geospatial Data Abstraction Library
Warmerdam, F., 2008 · 2008
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ImageNet: A large-scale hierarchical image database
Deng, J., Dong, W., Socher, R., Li, L., Li, K. and Fei-Fei, L., 2009 · 2009
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Bag-of-visual-words and spatial extensions for land-use classification
Yang, Y. and Newsam, S., 2010 · 2010
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Sentinel-2: ESA’s optical high-resolution mission for GMES operational services
Drusch, M., Del Bello, U., Carlier, S., Colin, O., Fernandez, V., Gascon, F., Hoersch, B., Isola, C., Laberinti, P., Martimort, P. et al., 2012 · 2012
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GMES Sentinel-1 mission
Torres, R., Snoeij, P., Geudtner, D., Bibby, D., Davidson, M., Attema, E., Potin, P., Rommen, B., Floury, N., Brown, M. et al., 2012 · 2012
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DeepSat: a learning framework for satellite imagery
Basu, S., Ganguly, S., Mukhopadhyay, S., DiBiano, R., Karki, M. and Nemani, R., 2015 · 2015
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Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?
Penatti, O. A. B., Nogueira, K. and dos Santos, J. A., 2015 · 2015
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Sentinel-1A product geolocation accuracy: Commissioning phase results
Schubert, A., Small, D., Miranda, N., Geudtner, D. and Meier, E., 2015 · 2015
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Scene classification based on the multifeature fusion probabilistic topic model for high spatial resolution remote sensing imagery
Zhong, Y., Zhu, Q. and Zhang, L., 2015 · 2015
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S. and Sun, J., 2016 · 2016
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Towards vegetation species discrimination by using data-driven descriptors
Open data for global multimodal land use classification: Outcome of the 2017 IEEE GRSS data fusion contest
Yokoya, N., Ghamisi, P., Xia, J., Sukhanov, S., Heremans, R., Tankoyeu, I., Bechtel, B., Saux, B. L., Moser, G. and Tuia, D., 2018 · 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., Zhang, L., Xu, F. and Fraundorfer, F., 2017 · 2017
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DeepGlobe 2018: A challenge to parse the earth through satellite images
Demir, I., Koperski, K., Lindenbaum, D., Pang, G., Huang, J., Basu, S., Hughes, F., Tuia, D. and Raska, R., 2018 · 2018
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Introducing EuroSAT: A novel dataset and deep learning benchmark for land use and land cover classification
Helber, P., Bischke, B., Dengel, A. and Borth, D., 2018 · 2018
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The SEN1-2 dataset for deep learning in SAR-optical data fusion
Schmitt, M., Hughes, L. H. and Zhu, X. X., 2018 · 2018
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Nogueira, K., Dos Santos, J. A., Fornazari, T., Silva, T. S. F., Morellato, L. P. and Torres, R., 2016 · 2016
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Dirichlet-derived multiple topic scene classification model for high spatial resolution remote sensing imagery
Zhao, B., Zhong, Y., Xia, G. and Zhang, L., 2016 · 2016
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Google earth engine: Planetary-scale geospatial analysis for everyone
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D. and Moore, R., 2017 · 2017
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The one hundred layers tiramisu: Fully convolutional densenets for semantic segmentation
Jégou, S., Drozdzal, M., Vazquez, D., Romero, A. and Bengio, Y., 2017 · 2017
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Can semantic labeling methods generalize to any city? The Inria aerial image labeling benchmark
Maggiori, E., Tarabalka, Y., Charpiat, G. and Alliez, P., 2017 · 2017
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User guide to Collection 6 MODIS land cover (MCD12Q1 and MCD12C1) product
Sulla-Menashe, D. and Friedl, M. A., 2018 · 2018
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Dota: A large-scale dataset for object detection in aerial images
Xia, G., Bai, X., Ding, J., Zhu, Z., Belongie, S., Luo, J., Datcu, M., Pelillo, M. and Zhang, L., 2018 · 2018
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Label super-resolution networks
Malkin, K., Robinson, C., Hou, L., Soobitsky, R., Samaras, D., Saltz, J., Joppa, L. and Jojic, N., 2019 · 2019
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Awesome satellite imagery datasets
Rieke, C., 2019 · 2019
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Aggregating cloud-free Sentinel-2 images with Google Earth Engine
Schmitt, M., Hughes, L. H., Qiu, C. and Zhu, X. X., 2019 · 2019
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