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ExtremeEarth Meets Satellite Data From Space

Authors: Paris, Claudia; Marinelli, Daniele; Weikmann, Giulio; Bruzzone, Lorenzo;

ExtremeEarth Meets Satellite Data From Space

Country
Italy
Related Organizations
Keywords

earth observation (EO), copernicus, remote sensing, hopsworks, extremeearth, Artificial intelligence (AI), copernicus, deep learning, earth observation (EO), extremeearth, food security, hopsworks, linked geospatial data, polar regions, remote sensing, polar regions, deep learning, linked geospatial data, food security, Artificial intelligence (AI)

60 references, page 1 of 6

[1] “ESA Earth Observation Missions,” 2021. [Online]. Available: https: //earth.esa.int/web/guest/missions/esa-operational-eo-missions; https:// sentinels.copernicus.eu

[2] “ESA Third Party Missions,” 2021. [Online]. Available: https://earth.esa. int/web/guest/missions/3rd-party-missions/overview

[3] C. O. Dumitru, V. Andrei, G. Schwarz, and M. Datcu, “Machine learning for sea ice monitoring from satellites,” Int. Arch. Photogrammetry, Remote Sens. Spatial Inf. Sci., vol. XLII-2/W16, pp. 83-89, 2019.

[4] S. Migdall et al., “Water stress assessment in Austria based on deep learning and crop growth modelling,” in Proc. Conf. Big Data Space, 2021, pp. 1-4.

[5] J. L. Awange and J. B. K. Kiema, “Microwave remote sensing,” in Environmental Geoinformatics. New York, NY, USA: Springer, 2013, pp. 133-144. [OpenAIRE]

[6] J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei, “ImageNet: A large-scale hierarchical image database,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2009, pp. 248-255.

[7] P. Goyal et al., “Accurate, large minibatch SGD: Training ImageNet in 1 hour,” 2017, arXiv:1706.02677.

[8] T. Ioannidis, G. Garbis, K. Kyzirakos, K. Bereta, and M. Koubarakis, “Evaluating geospatial RDF stores using the benchmark Geographica 2,” J. Data Semantics, pp. 1-40, 2021.

[9] M.-A. Moen et al., “Comparison of feature based segmentation of full polarimetric SAR satellite sea ice images with manually drawn ice charts,” Cryosphere, vol. 7, pp. 1693-1705, 2013. [OpenAIRE]

[10] A. S. Fors, C. Brekke, A. P. Doulgeris, T. Eltoft, A. H. Renner, and S. Gerland, “Late-summer sea ice segmentation with multi-polarisation SAR features in C and X band,” Cryosphere, vol. 10, no. 1, pp. 401-415, 2016. [OpenAIRE]

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average