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Very high resolution aerial data to support multi-temporal precision agriculture information management.

, , , , , , and . CENTERIS/ProjMAN/HCist, volume 121 of Procedia Computer Science, page 407-414. Elsevier, (2017)

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Vineyard Classification Using Machine Learning Techniques Applied to RGB-UAV Imagery., , , , , , and . IGARSS, page 6309-6312. IEEE, (2020)BRDF Sampling from Hyperspectral Images: A Proof of Concept., , , , , and . IGARSS, page 8277-8280. IEEE, (2021)Grapevine Varieties Classification Using Machine Learning., , , , , , , , and . EPIA (1), volume 11804 of Lecture Notes in Computer Science, page 186-199. Springer, (2019)Multi-Temporal Analysis of Forestry and Coastal Environments Using UASs., , , , , , , , , and . Remote. Sens., 10 (1): 24 (2018)Multi-Temporal Vineyard Monitoring through UAV-Based RGB Imagery., , , , , , and . Remote. Sens., 10 (12): 1907 (2018)UAV-Based Hyperspectral Monitoring Using Push-Broom and Snapshot Sensors: A Multisite Assessment for Precision Viticulture Applications., , , , , , , , , and 1 other author(s). Sensors, 22 (17): 6574 (2022)Deep Learning-Based Methodological Approach for Vineyard Early Disease Detection Using Hyperspectral Data., , , , , , , and . IGARSS, page 9063-9066. IEEE, (2018)An Efficient Method for Generating UAV-Based Hyperspectral Mosaics Using Push-Broom Sensors., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)UAS-based photogrammetry of cultural heritage sites: a case study addressing Chapel of Espírito Santo and photogrammetric software comparison., , , , , , , , and . ICGDA, page 72-76. ACM, (2018)Machine learning classification methods in hyperspectral data processing for agricultural applications., , , , , , , , and . ICGDA, page 137-141. ACM, (2018)