{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T16:59:20Z","timestamp":1775494760873,"version":"3.50.1"},"reference-count":97,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2020,10,18]],"date-time":"2020-10-18T00:00:00Z","timestamp":1602979200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Precision agriculture (PA) is a management strategy that analyzes the spatial and temporal variability of agricultural fields using information and communication technologies with the aim to optimize profitability, sustainability, and protection of agro-ecological services. In the context of PA, this research evaluated the reliability of multispectral (MS) imagery collected at different spatial resolutions by an unmanned aerial vehicle (UAV) and PlanetScope and Sentinel-2 satellite platforms in monitoring onion crops over three different dates. The soil adjusted vegetation index (SAVI) was used for monitoring the vigor of the study field. Next, the vigor maps from the two satellite platforms with those derived from UAV were compared by statistical analysis in order to evaluate the contribution made by each platform for monitoring onion crops. Besides, the two coverage\u2019s classes of the field, bare soil and onions, were spatially identified using geographical object-based image classification (GEOBIA), and their spectral contribution was analyzed comparing the SAVI calculated considering only crop pixels (i.e., SAVI onions) and that calculated considering only bare soil pixels (i.e., SAVI soil) with the SAVI from the three platforms. The results showed that satellite imagery, coherent and correlated with UAV images, could be useful to assess the general conditions of the field while UAV permits to discriminate localized circumscribed areas that the lowest resolution of satellites missed, where there are conditions of inhomogeneity in the field, determined by abiotic or biotic stresses.<\/jats:p>","DOI":"10.3390\/rs12203424","type":"journal-article","created":{"date-parts":[[2020,10,18]],"date-time":"2020-10-18T21:26:06Z","timestamp":1603056366000},"page":"3424","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":74,"title":["A Comparison of UAV and Satellites Multispectral Imagery in Monitoring Onion Crop. An Application in the \u2018Cipolla Rossa di Tropea\u2019 (Italy)"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3197-5324","authenticated-orcid":false,"given":"Gaetano","family":"Messina","sequence":"first","affiliation":[{"name":"Dipartimento di Agraria, Universit\u00e0 degli Studi Mediterranea di Reggio Calabria, Localit\u00e0 Feo di Vito, I-89122 Reggio Calabria, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4592-3792","authenticated-orcid":false,"given":"Jose M.","family":"Pe\u00f1a","sequence":"additional","affiliation":[{"name":"Plant Protection Department, Institute of Agricultural Sciences (ICA), Spanish National Research Council (CSIC), 28006 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4238-8897","authenticated-orcid":false,"given":"Marco","family":"Vizzari","sequence":"additional","affiliation":[{"name":"Department of Agricultural, Food, and Environmental Sciences, University of Perugia, 06121 Perugia, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0388-0256","authenticated-orcid":false,"given":"Giuseppe","family":"Modica","sequence":"additional","affiliation":[{"name":"Dipartimento di Agraria, Universit\u00e0 degli Studi Mediterranea di Reggio Calabria, Localit\u00e0 Feo di Vito, I-89122 Reggio Calabria, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,10,18]]},"reference":[{"key":"ref_1","first-page":"101912","article-title":"A methodology based on GEOBIA and WorldView-3 imagery to derive vegetation indices at tree crown detail in olive orchards","volume":"83","author":"Solano","year":"2019","journal-title":"Int. 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