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ExtremeEarth: Managing Water Availability for Crops Using Earth Observation and Machine Learning.

, , , , , , , , , и . EDBT, стр. 749-756. OpenProceedings.org, (2023)

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Claudia Paris

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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., , , , , , , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)A hierarchical approach to superresolution of multispectral images with different spatial resolutions., , и . IGARSS, стр. 2589-2592. IEEE, (2017)A Novel Method Based on Source Domain Understanding and Modeling to Transfer Labels from Land-Cover Vector Maps to Classifiers for Multispectral Images., , и . IGARSS, стр. 3619-3622. IEEE, (2018)Automatic Extraction of Weak Labeled Samples From Existing Thematic Products For Training Convolutional Neural Networks., и . IGARSS, стр. 5722-5725. IEEE, (2019)A Growth-Model-Driven Technique for Tree Stem Diameter Estimation by Using Airborne LiDAR Data., и . IEEE Trans. Geosci. Remote. Sens., 57 (1): 76-92 (2019)GeoFedBench: A Benchmark for Federated GeoSPARQL Query Processors., , , , , , , и . ISWC (Demos/Industry), том 2721 из CEUR Workshop Proceedings, стр. 228-232. CEUR-WS.org, (2020)End-to-End Process Orchestration of Earth Observation Data Workflows with Apache Airflow on High Performance Computing., , , , , , , и . IGARSS, стр. 711-714. IEEE, (2023)A Novel Approach for Environmental Monitoring Based on the Integration of Multi-Temporal Multi-Source Earth Observation Data and Field Surveys in a Spatio-Temporal Framework., , , и . IGARSS, стр. 5897-5900. IEEE, (2022)An Interactive Strategy for the Training Set Definition Based on Active Self-Paced Learning Implemented on a Cloud-Computing Platform., , и . IEEE Geosci. Remote. Sens. Lett., (2022)Fusion of Multitemporal LiDAR Data for Individual Tree Crown Parameter Estimation on Low Density Point Clouds., , и . IGARSS, стр. 3999-4002. IEEE, (2018)