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ExtremeEarth: Managing Water Availability for Crops Using Earth Observation and Machine Learning., , , , , , , , , и . EDBT, стр. 749-756. OpenProceedings.org, (2023)Improving the process-based simulation of growth heterogeneities in agricultural stands through assimilation of earth observation data., , , , , и . IGARSS, стр. 1006-1009. IEEE, (2012)Integrative use of multitemporal rapideye and TerraSAR-X data for agricultural monitoring., , , , , , , и . IGARSS, стр. 3748-3751. IEEE, (2012)How spectroscopy from space will support world agriculture., , , , и . IGARSS, стр. 7321-7324. IEEE, (2012)Generating continuous information products on land use and the intensity of agricultural production from high resolution satellite data., , , , , и . IGARSS, стр. 3989-3992. IEEE, (2015)From Copernicus Big Data to Extreme Earth Analytics., , , , , , , , , и 16 other автор(ы). EDBT, стр. 690-693. OpenProceedings.org, (2019)Learning from hyperspectral remote sensing data for machine learning algorithms in earth science., , , и . GIL, том P-344 из LNI, стр. 305-310. Gesellschaft für Informatik e.V., (2024)Application of flood monitoring from satellite for insurances., , , и . IGARSS, стр. 4. IEEE, (2005)Analyses of hyperspectral directional data from CHRIS/PROBA using land surface models., и . IGARSS, стр. 2665-2668. IEEE, (2007)The additional value of hyperspectral data for smart farming., , , и . IGARSS, стр. 7329-7332. IEEE, (2012)