{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T00:59:13Z","timestamp":1780621153621,"version":"3.54.1"},"reference-count":38,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Applied Earth Observation and Geoinformation"],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1016\/j.jag.2018.07.013","type":"journal-article","created":{"date-parts":[[2018,7,18]],"date-time":"2018-07-18T11:20:16Z","timestamp":1531912816000},"page":"99-108","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":33,"special_numbering":"C","title":["An empirical model for prediction of wheat yield, using time-integrated Landsat NDVI"],"prefix":"10.1016","volume":"72","author":[{"given":"Y.R.","family":"Lai","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M.J.","family":"Pringle","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4948-1880","authenticated-orcid":false,"given":"P.M.","family":"Kopittke","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0207-070X","authenticated-orcid":false,"given":"N.W.","family":"Menzies","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"T.G.","family":"Orton","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Y.P.","family":"Dang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jag.2018.07.013_bib0005","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v067.i01","article-title":"Fitting linear mixed-effects models using lme4","volume":"67","author":"Bates","year":"2015","journal-title":"J. Stat. Softw."},{"key":"10.1016\/j.jag.2018.07.013_bib0010","series-title":"National Paddock Survey Project [Online]","author":"BCG","year":"2015"},{"key":"10.1016\/j.jag.2018.07.013_bib0015","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/0034-4257(93)90113-C","article-title":"On the use of NDVI profiles as a tool for agricultural statistics: the case study of wheat yield estimate and forecast in Emilia Romagna","volume":"45","author":"Benedetti","year":"1993","journal-title":"Remote Sens. Environ."},{"key":"10.1016\/j.jag.2018.07.013_bib0020","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1023\/B:PRAG.0000040806.39604.aa","article-title":"Precision agriculture and sustainability","volume":"5","author":"Bongiovanni","year":"2004","journal-title":"Precis. Agric."},{"key":"10.1016\/j.jag.2018.07.013_bib0025","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1016\/j.fcr.2011.05.021","article-title":"Identifying the spatial variability of soil constraints using multi-year remote sensing","volume":"123","author":"Dang","year":"2011","journal-title":"Field Crops Res."},{"key":"10.1016\/j.jag.2018.07.013_bib0030","doi-asserted-by":"crossref","first-page":"83","DOI":"10.3390\/rs5010083","article-title":"An operational scheme for deriving standardised surface reflectance from Landsat TM\/ETM+ and SPOT HRG imagery for Eastern Australia","volume":"5","author":"Flood","year":"2013","journal-title":"Remote Sens."},{"key":"10.1016\/j.jag.2018.07.013_bib0035","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1007\/s11119-008-9055-3","article-title":"Prospects and results for optical systems for site-specific on-the-go control of nitrogen-top-dressing in Germany","volume":"9","author":"Heege","year":"2008","journal-title":"Precis. Agric."},{"key":"10.1016\/j.jag.2018.07.013_bib0040","series-title":"lmerTest: Test in Linear Mixed Effects Models. R Package Version 2.0-33. [Online]","author":"Kuznetsova","year":"2016"},{"key":"10.1016\/j.jag.2018.07.013_bib0045","doi-asserted-by":"crossref","first-page":"4169","DOI":"10.1080\/01431160110107653","article-title":"Wheat yield estimates using multi-temporal NDVI satellite imagery","volume":"23","author":"Labus","year":"2002","journal-title":"Int. J. Remote Sens."},{"key":"10.1016\/j.jag.2018.07.013_bib0050","doi-asserted-by":"crossref","first-page":"255","DOI":"10.2307\/2532051","article-title":"A concordance correlation coefficient to evaluate reproducibility","volume":"45","author":"Lin","year":"1989","journal-title":"Biometrics"},{"key":"10.1016\/j.jag.2018.07.013_bib0055","doi-asserted-by":"crossref","first-page":"737","DOI":"10.1080\/01431160500296867","article-title":"Predicting winter wheat condition, grain yield and protein content using multi-temporal EnviSat-ASAR and Landsat TM satellite images","volume":"27","author":"Liu","year":"2006","journal-title":"Int. J. Remote Sens."},{"key":"10.1016\/j.jag.2018.07.013_bib0060","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. Ecosyst. Environ."},{"key":"10.1016\/j.jag.2018.07.013_bib0065","doi-asserted-by":"crossref","first-page":"777","DOI":"10.2136\/sssaj2006.0306","article-title":"Identification of saline soils with multiyear remote sensing of crop yields","volume":"71","author":"Lobell","year":"2007","journal-title":"Soil Sci. Soc. Am. J."},{"key":"10.1016\/j.jag.2018.07.013_bib0070","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1016\/j.ecolind.2010.07.014","article-title":"A high resolution broad scale spatial indicator of grain growing profitability for natural resource planning","volume":"11","author":"Lyle","year":"2011","journal-title":"Ecol. Indic."},{"key":"10.1016\/j.jag.2018.07.013_bib0075","doi-asserted-by":"crossref","first-page":"1549","DOI":"10.3390\/rs5041549","article-title":"Testing the temporal ability of Landsat imagery and precision agriculture technology to provide high resolution historical estimates of wheat yield at the farm scale","volume":"5","author":"Lyle","year":"2013","journal-title":"Remote Sens."},{"key":"10.1016\/j.jag.2018.07.013_bib0080","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1016\/j.agrformet.2010.11.012","article-title":"Crop yield forecasting on the Canadian prairies using MODIS NDVI data","volume":"151","author":"Mkhabela","year":"2011","journal-title":"Agric. For. Meteorol."},{"key":"10.1016\/j.jag.2018.07.013_bib0085","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1016\/j.eja.2006.10.007","article-title":"A simple model of regional wheat yield based on NDVI data","volume":"26","author":"Moriondo","year":"2007","journal-title":"Eur. J. Agron."},{"key":"10.1016\/j.jag.2018.07.013_bib0090","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1016\/j.biosystemseng.2012.08.009","article-title":"Twenty five years of remote sensing in precision agriculture: key advances and remaining knowledge gaps","volume":"114","author":"Mulla","year":"2013","journal-title":"Biosyst. Eng."},{"key":"10.1016\/j.jag.2018.07.013_bib0095","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.agrformet.2014.03.004","article-title":"Estimating green LAI in four crops: potential of determining optimal spectral bands for a universal algorithm","volume":"192","author":"Nguy-Robertson","year":"2014","journal-title":"Agric. For. Meteorol."},{"key":"10.1016\/j.jag.2018.07.013_bib0100","doi-asserted-by":"crossref","first-page":"545","DOI":"10.1093\/biomet\/58.3.545","article-title":"Recovery of inter-block information when block sizes are unequal","volume":"58","author":"Patterson","year":"1971","journal-title":"Biometrika"},{"key":"10.1016\/j.jag.2018.07.013_bib0105","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1007\/s00442-002-0954-0","article-title":"Physiological response curve analysis using nonlinear mixed models","volume":"132","author":"Peek","year":"2002","journal-title":"Oecologia"},{"key":"10.1016\/j.jag.2018.07.013_bib0110","series-title":"Mixed-Effects Models in S and S-PLUS","author":"Pinheiro","year":"2004"},{"key":"10.1016\/j.jag.2018.07.013_bib0115","first-page":"134","article-title":"Spatial estimation of wheat yields from Landsat\u2019s visible, near infrared and thermal reflectance bands","volume":"4","author":"Potgieter","year":"2014","journal-title":"Int. J. Remote Sens. Appl."},{"key":"10.1016\/j.jag.2018.07.013_bib0120","doi-asserted-by":"crossref","first-page":"4791","DOI":"10.1080\/01431161.2013.782117","article-title":"Robust prediction of time-integrated NDVI","volume":"34","author":"Pringle","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"10.1016\/j.jag.2018.07.013_bib0125","series-title":"R: A Language and Environment for Statistical Computing","author":"R Core Team","year":"2016"},{"key":"10.1016\/j.jag.2018.07.013_bib0130","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1080\/01431160500117907","article-title":"Measuring wheat nitrogen status from space and ground-based platform","volume":"27","author":"Reyniers","year":"2006","journal-title":"Int. J. Remote Sens."},{"key":"10.1016\/j.jag.2018.07.013_bib0135","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.eja.2005.05.002","article-title":"Comparison of an aerial-based system and an on the ground continuous measuring device to predict yield of winter wheat","volume":"24","author":"Reyniers","year":"2006","journal-title":"Eur. J. Agron."},{"key":"10.1016\/j.jag.2018.07.013_bib0140","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1007\/s11119-011-9236-3","article-title":"Adoption of variable rate fertiliser application in the Australian grains industry: status, issues and prospects","volume":"13","author":"Robertson","year":"2012","journal-title":"Precis. Agric."},{"key":"10.1016\/j.jag.2018.07.013_bib0145","doi-asserted-by":"crossref","first-page":"2477","DOI":"10.1080\/01431169108955281","article-title":"Wheat yield estimation at the farm level using TM Landsat and agrometeorological data","volume":"12","author":"Rudorff","year":"1991","journal-title":"Int. J. Remote Sens."},{"key":"10.1016\/j.jag.2018.07.013_bib0150","series-title":"Yield Editor 2.0: Software for Automated Removal of Yield Map Errors","author":"Sudduth","year":"2012"},{"key":"10.1016\/j.jag.2018.07.013_bib0155","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/0034-4257(79)90013-0","article-title":"Red and photographic infrared linear combinations for monitoring vegetation","volume":"8","author":"Tucker","year":"1979","journal-title":"Remote Sens. Environ."},{"key":"10.1016\/j.jag.2018.07.013_bib0160","series-title":"Sustainable Crop Production in the Sub-Tropics: an Australian Perspective.","first-page":"8","article-title":"The Australian sub-tropical cereal belt: soils, climate and agriculture","author":"Webb","year":"1997"},{"key":"10.1016\/j.jag.2018.07.013_bib0165","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1111\/j.1365-2389.1989.tb01291.x","article-title":"On the akaike information criterion for choosing models for variograms of soil properties","volume":"40","author":"Webster","year":"1989","journal-title":"J. Soil Sci."},{"key":"10.1016\/j.jag.2018.07.013_bib0170","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1006\/anbo.1997.0387","article-title":"Modelling asymmetrical growth curves that rise and then fall: applications to foliage dynamics of sugar beet (Beta vulgaris L.)","volume":"79","author":"Werker","year":"1997","journal-title":"Ann. Bot."},{"key":"10.1016\/j.jag.2018.07.013_bib0175","series-title":"6th Int. Conf. on Precision Agriculture","article-title":"Vesper 1.5\u2013spatial prediction software for precision agriculture","author":"Whelan","year":"2001"},{"key":"10.1016\/j.jag.2018.07.013_bib0180","doi-asserted-by":"crossref","first-page":"1011","DOI":"10.1126\/science.320.5879.1011a","article-title":"Free access to Landsat imagery","volume":"320","author":"Woodcock","year":"2008","journal-title":"Science"},{"key":"10.1016\/j.jag.2018.07.013_bib0185","first-page":"103","article-title":"A support vector machine to identify irrigated crop types using time-series Landsat NDVI data","volume":"34","author":"Zheng","year":"2015","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"10.1016\/j.jag.2018.07.013_bib0190","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1016\/j.rse.2014.12.014","article-title":"Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsat\u2019s 4\u20137, 8, and sentinel 2 images","volume":"159","author":"Zhu","year":"2015","journal-title":"Remote Sens. Environ."}],"container-title":["International Journal of Applied Earth Observation and Geoinformation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0303243418300692?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0303243418300692?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,4]],"date-time":"2025-10-04T13:33:32Z","timestamp":1759584812000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0303243418300692"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10]]},"references-count":38,"alternative-id":["S0303243418300692"],"URL":"https:\/\/doi.org\/10.1016\/j.jag.2018.07.013","relation":{},"ISSN":["1569-8432"],"issn-type":[{"value":"1569-8432","type":"print"}],"subject":[],"published":{"date-parts":[[2018,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"An empirical model for prediction of wheat yield, using time-integrated Landsat NDVI","name":"articletitle","label":"Article Title"},{"value":"International Journal of Applied Earth Observation and Geoinformation","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jag.2018.07.013","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2018 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}