{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T17:07:32Z","timestamp":1776877652904,"version":"3.51.2"},"reference-count":40,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2014,7,18]],"date-time":"2014-07-18T00:00:00Z","timestamp":1405641600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Estimating sugarcane biomass is difficult to achieve when working with highly variable spatial distributions of growing conditions, like on Reunion Island. We used a dataset of in-farm fields with contrasted climatic conditions and farming practices to compare three methods of yield estimation based on remote sensing: (1) an empirical relationship method with a growing season-integrated Normalized Difference Vegetation Index NDVI, (2) the Kumar-Monteith efficiency model, and (3) a forced-coupling method with a sugarcane crop model (MOSICAS) and satellite-derived fraction of absorbed photosynthetically active radiation. These models were compared with the crop model alone and discussed to provide recommendations for a satellite-based system for the estimation of yield at the field scale. Results showed that the linear empirical model produced the best results (RMSE = 10.4 t\u2219ha\u22121). Because this method is also the simplest to set up and requires less input data, it appears that it is the most suitable for performing operational estimations and forecasts of sugarcane yield at the field scale. The main limitation is the acquisition of a minimum of five satellite images. The upcoming open-access Sentinel-2 Earth observation system should overcome this limitation because it will provide 10-m resolution satellite images with a 5-day frequency.<\/jats:p>","DOI":"10.3390\/rs6076620","type":"journal-article","created":{"date-parts":[[2014,7,18]],"date-time":"2014-07-18T10:30:52Z","timestamp":1405679452000},"page":"6620-6635","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":81,"title":["Toward a Satellite-Based System of Sugarcane Yield Estimation and Forecasting in Smallholder Farming Conditions: A Case Study on Reunion Island"],"prefix":"10.3390","volume":"6","author":[{"given":"Julien","family":"Morel","sequence":"first","affiliation":[{"name":"CIRAD-UPR AIDA, Station de Ligne-Paradis, 7 chemin de l'IRAT, FR-97410 Saint-Pierre,  La R\u00e9union, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pierre","family":"Todoroff","sequence":"additional","affiliation":[{"name":"CIRAD-UPR AIDA, Station de Ligne-Paradis, 7 chemin de l'IRAT, FR-97410 Saint-Pierre,  La R\u00e9union, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9289-1052","authenticated-orcid":false,"given":"Agn\u00e8s","family":"B\u00e9gu\u00e9","sequence":"additional","affiliation":[{"name":"CIRAD-UMR TETIS, 500 rue Jean-Fran\u00e7ois Breton, FR-34093 Montpellier, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aurore","family":"Bury","sequence":"additional","affiliation":[{"name":"Syndicat du Sucre de la R\u00e9union, 40, route Gabriel Mac\u00e9, FR-97492 Sainte-Clotilde Cedex,  La R\u00e9union, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jean-Fran\u00e7ois","family":"Martin\u00e9","sequence":"additional","affiliation":[{"name":"CIRAD-UPR AIDA, Station de la Bretagne, 40 chemin de Grand Canal, FR-97743 Saint-Denis,  La R\u00e9union, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michel","family":"Petit","sequence":"additional","affiliation":[{"name":"Institut de Recherche pour le D\u00e9veloppement (IRD), 911 avenue Agropolis, FR-34394 Montpellier Cedex 05, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2014,7,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/S0167-8809(02)00021-X","article-title":"Remote sensing of regional crop production in the Yaqui Valley, Mexico: Estimates and uncertainties","volume":"94","author":"Lobell","year":"2003","journal-title":"Agric. 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