{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:55:12Z","timestamp":1760151312251,"version":"build-2065373602"},"reference-count":41,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2022,3,15]],"date-time":"2022-03-15T00:00:00Z","timestamp":1647302400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2021R1A2C2004459"],"award-info":[{"award-number":["NRF-2021R1A2C2004459"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002456","name":"Chonnam National University","doi-asserted-by":"publisher","award":["N\/A"],"award-info":[{"award-number":["N\/A"]}],"id":[{"id":"10.13039\/501100002456","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This study aimed to simulate the spatiotemporal variation in cotton (Gossypium hirsutum L.) growth and lint yield using a remote sensing-integrated crop model (RSCM) for cotton. The developed modeling scheme incorporated proximal sensing data and satellite imagery. We formulated this model and evaluated its accuracy using field datasets obtained in Lamesa in 1999, Halfway in 2002 and 2004, and Lubbock in 2003\u20132005 in the Texas High Plains in the USA. We found that RSCM cotton could reproduce the cotton leaf area index and lint yield across different locations and irrigation systems with a statistically significant degree of accuracy. RSCM cotton was also used to simulate cotton lint yield for the field circles in Halfway. The RSCM system could accurately reproduce the spatiotemporal variations in cotton lint yield when integrated with satellite images. From the results of this study, we predict that the proposed crop-modeling approach will be applicable for the practical monitoring of cotton growth and productivity by farmers. Furthermore, a user can operate the modeling system with minimal input data, owing to the integration of proximal and remote sensing information.<\/jats:p>","DOI":"10.3390\/rs14061421","type":"journal-article","created":{"date-parts":[[2022,3,16]],"date-time":"2022-03-16T03:36:23Z","timestamp":1647401783000},"page":"1421","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Simulation of Spatiotemporal Variations in Cotton Lint Yield in the Texas High Plains"],"prefix":"10.3390","volume":"14","author":[{"given":"Seungtaek","family":"Jeong","sequence":"first","affiliation":[{"name":"Satellite Application Division, Korea Aerospace Research Institute, Daejeon 34133, Korea"}]},{"given":"Taehwan","family":"Shin","sequence":"additional","affiliation":[{"name":"Department of Applied Plant Science, Chonnam National University, Gwangju 61186, Korea"}]},{"given":"Jong-Oh","family":"Ban","sequence":"additional","affiliation":[{"name":"Management Information, Hallym Polytechnic University, Chuncheon 24210, Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7974-3808","authenticated-orcid":false,"given":"Jonghan","family":"Ko","sequence":"additional","affiliation":[{"name":"Department of Applied Plant Science, Chonnam National University, Gwangju 61186, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,15]]},"reference":[{"key":"ref_1","unstructured":"Martin, J.D., Leonard, W.H., Stamp, D.L., and Waldren, R.P. 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