{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T06:21:03Z","timestamp":1776061263837,"version":"3.50.1"},"reference-count":62,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2021,3,13]],"date-time":"2021-03-13T00:00:00Z","timestamp":1615593600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51979233"],"award-info":[{"award-number":["51979233"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key R &amp; D plan from the Ministry of Science and Technology of the People\u2019s Republic of China","award":["2017YFC0403203"],"award-info":[{"award-number":["2017YFC0403203"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In this study, we develop a method to estimate corn yield based on remote sensing data and ground monitoring data under different water treatments. Spatially explicit information on crop yields is essential for farmers and agricultural agencies to make well-informed decisions. One approach to estimate crop yield with remote sensing is data assimilation, which integrates sequential observations of canopy development from remote sensing into model simulations of crop growth processes. We found that leaf area index (LAI) inversion based on unmanned aerial vehicle (UAV) vegetation index has a high accuracy, with R2 and root mean square error (RMSE) values of 0.877 and 0.609, respectively. Maize yield estimation based on UAV remote sensing data and simple algorithm for yield (SAFY) crop model data assimilation has different yield estimation accuracy under different water treatments. This method can be used to estimate corn yield, where R2 is 0.855 and RMSE is 692.8kg\/ha. Generally, the higher the water stress, the lower the estimation accuracy. Furthermore, we perform the yield estimate mapping at 2 m spatial resolution, which has a higher spatial resolution and accuracy than satellite remote sensing. The great potential of incorporating UAV observations with crop data to monitor crop yield, and improve agricultural management is therefore indicated.<\/jats:p>","DOI":"10.3390\/rs13061094","type":"journal-article","created":{"date-parts":[[2021,3,14]],"date-time":"2021-03-14T23:52:06Z","timestamp":1615765926000},"page":"1094","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":74,"title":["Assimilation of LAI Derived from UAV Multispectral Data into the SAFY Model to Estimate Maize Yield"],"prefix":"10.3390","volume":"13","author":[{"given":"Xingshuo","family":"Peng","sequence":"first","affiliation":[{"name":"College of Mechanical and Electronic Engineering, Northwest A&amp;F University, Yangling 712100, China"},{"name":"Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture, Yangling 712100, China"}]},{"given":"Wenting","family":"Han","sequence":"additional","affiliation":[{"name":"College of Mechanical and Electronic Engineering, Northwest A&amp;F University, Yangling 712100, China"},{"name":"Institute of Soil and Water Conservation, Northwest A&amp;F University, Yangling 712100, China"}]},{"given":"Jianyi","family":"Ao","sequence":"additional","affiliation":[{"name":"College of Mechanical and Electronic Engineering, Northwest A&amp;F University, Yangling 712100, China"},{"name":"Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture, Yangling 712100, China"}]},{"given":"Yi","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Information, Xi\u2019an University of Finance and Economics, Xi\u2019an 710100, China"}]}],"member":"1968","published-online":{"date-parts":[[2021,3,13]]},"reference":[{"key":"ref_1","first-page":"1159","article-title":"Precision agriculture in the twenty-first century: Report of the National Research Council committee","volume":"80","author":"Heimlich","year":"1998","journal-title":"Am. 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