{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,11]],"date-time":"2026-01-11T00:25:46Z","timestamp":1768091146415,"version":"3.49.0"},"reference-count":45,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2016,7,20]],"date-time":"2016-07-20T00:00:00Z","timestamp":1468972800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003329","name":"Ministerio de Econom\u00eda y Competitividad","doi-asserted-by":"publisher","award":["TEC2011-28201-C02-02"],"award-info":[{"award-number":["TEC2011-28201-C02-02"]}],"id":[{"id":"10.13039\/501100003329","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003329","name":"Ministerio de Econom\u00eda y Competitividad","doi-asserted-by":"publisher","award":["TIN2014-55413-C2-2-P"],"award-info":[{"award-number":["TIN2014-55413-C2-2-P"]}],"id":[{"id":"10.13039\/501100003329","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Knowing the current phenological state of an agricultural crop is a powerful tool for precision farming applications. In the past, it has been estimated with remote sensing data by exploiting time series of Normalised Difference Vegetation Index (NDVI), but always at the end of the campaign and only providing results for some key states. In this work, a new dynamical framework is proposed to provide real-time estimates in a continuous range of states, for which NDVI images are combined with a prediction model in an optimal way using a particle filter. The methodology is tested over a set of 8 to 13 rice parcels during 2008\u20132013, achieving a high determination factor      R 2  = 0.93     (    n = 379    ) for the complete phenological range. This method is also used to predict the end of season date, obtaining a high accuracy with an anticipation of around 40\u201360 days. Among the key advantages of this approach, phenology is estimated each time a new observation is available, hence enabling the potential detection of anomalies in real-time during the cultivation. In addition, the estimation procedure is robust in the case of noisy observations, and it is not limited to a few phenological stages.<\/jats:p>","DOI":"10.3390\/rs8070610","type":"journal-article","created":{"date-parts":[[2016,7,20]],"date-time":"2016-07-20T09:45:15Z","timestamp":1469007915000},"page":"610","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Particle Filter Approach for Real-Time Estimation of Crop Phenological States Using Time Series of NDVI Images"],"prefix":"10.3390","volume":"8","author":[{"given":"Caleb","family":"De Bernardis","sequence":"first","affiliation":[{"name":"Signal Systems and Telecommunication Group, Institute for Computing Research (IUII), University of Alicante, P.O. Box 99, E-03080 Alicante, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fernando","family":"Vicente-Guijalba","sequence":"additional","affiliation":[{"name":"Signal Systems and Telecommunication Group, Institute for Computing Research (IUII), University of Alicante, P.O. Box 99, E-03080 Alicante, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomas","family":"Martinez-Marin","sequence":"additional","affiliation":[{"name":"Signal Systems and Telecommunication Group, Institute for Computing Research (IUII), University of Alicante, P.O. Box 99, E-03080 Alicante, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4216-5175","authenticated-orcid":false,"given":"Juan","family":"Lopez-Sanchez","sequence":"additional","affiliation":[{"name":"Signal Systems and Telecommunication Group, Institute for Computing Research (IUII), University of Alicante, P.O. Box 99, E-03080 Alicante, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2016,7,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"454","DOI":"10.2747\/1548-1603.45.4.454","article-title":"Assessment of potato phenological characteristics using MODIS-derived NDVI and LAI information","volume":"45","author":"Islam","year":"2008","journal-title":"GISci. Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1016\/j.rse.2005.03.008","article-title":"A crop phenology detection method using time-series MODIS data","volume":"96","author":"Sakamoto","year":"2005","journal-title":"Remote Sens. 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