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Multispectral Remote Sensing as a Tool to Support Organic Crop Certification: Assessment of the Discrimination Level between Organic and Conventional Maize.

, , , , , , , и . Remote. Sens., 13 (1): 117 (2021)

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Multispectral Remote Sensing as a Tool to Support Organic Crop Certification: Assessment of the Discrimination Level between Organic and Conventional Maize., , , , , , , и . Remote. Sens., 13 (1): 117 (2021)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)Environmental Mapping and Analysis Program (EnMAP) - Recent Advances and Status., , , , , , , , , и 1 other автор(ы). IGARSS (4), стр. 109-112. IEEE, (2008)Using Copernicus Data and Growth Modelling to Globally Assess Virtual Water Flows in Agricultural Production - the Viw a Concept., , , , , , , , , и 1 other автор(ы). IGARSS, стр. 9086-9089. IEEE, (2018)Multiyear Mapping of Water Demand at Crop Level: An End-to-End Workflow Based on High-Resolution Crop Type Maps and Meteorological Data., , , , , , , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)