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Generating continuous information products on land use and the intensity of agricultural production from high resolution satellite data.

, , , , , and . IGARSS, page 3989-3992. IEEE, (2015)

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Multiyear Mapping of Water Demand at Crop Level: An End-to-End Workflow Based on High-Resolution Crop Type Maps and Meteorological Data., , , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)Assimilation of vegetation parameters and snow cover derived from EO in the hydrological model PROMET in the frame of CLIMB project., , and . IGARSS, page 836-839. IEEE, (2012)The additional value of hyperspectral data for smart farming., , , and . IGARSS, page 7329-7332. IEEE, (2012)Land management monitoring of near-natural areas through an integrated analysis of multi-temporal satellite data in a model framework., , , , , and . IGARSS, page 2638-2641. IEEE, (2015)LEOpatra: A Mobile Application for Smart Fertilization Based on Linked Data., , , , , , , , , and . HAICTA, volume 2030 of CEUR Workshop Proceedings, page 160-171. CEUR-WS.org, (2017)Multispectral Remote Sensing as a Tool to Support Organic Crop Certification: Assessment of the Discrimination Level between Organic and Conventional Maize., , , , , , , and . Remote. Sens., 13 (1): 117 (2021)ExtremeEarth: Managing Water Availability for Crops Using Earth Observation and Machine Learning., , , , , , , , , and . EDBT, page 749-756. OpenProceedings.org, (2023)From Copernicus Big Data to Extreme Earth Analytics., , , , , , , , , and 16 other author(s). EDBT, page 690-693. OpenProceedings.org, (2019)Integrative use of multitemporal rapideye and TerraSAR-X data for agricultural monitoring., , , , , , , and . IGARSS, page 3748-3751. IEEE, (2012)Generating continuous information products on land use and the intensity of agricultural production from high resolution satellite data., , , , , and . IGARSS, page 3989-3992. IEEE, (2015)