{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T03:46:24Z","timestamp":1772768784125,"version":"3.50.1"},"reference-count":163,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2022,7,28]],"date-time":"2022-07-28T00:00:00Z","timestamp":1658966400000},"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":["41871328"],"award-info":[{"award-number":["41871328"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Rice is one of the most important food crops around the world. Remote sensing technology, as an effective and rapidly developing method, has been widely applied to precise rice management. To observe the current research status in the field of rice remote sensing (RRS), a bibliometric analysis was carried out based on 2680 papers of RRS published during 1980\u20132021, which were collected from the core collection of the Web of Science database. Quantitative analysis of the number of publications, top countries and institutions, popular keywords, etc. was conducted through the knowledge mapping software CiteSpace, and comprehensive discussions were carried out from the aspects of specific research objects, methods, spectral variables, and sensor platforms. The results revealed that an increasing number of countries and institutions have conducted research on RRS and a great number of articles have been published annually, among which, China, the United States of America, and Japan were the top three and the Chinese Academy of Sciences, Zhejiang University, and Nanjing Agricultural University were the first three research institutions with the largest publications. Abundant interest was paid to \u201creflectance\u201d, followed by \u201cvegetation index\u201d and \u201cyield\u201d and the specific objects mainly focused on growth, yield, area, stress, and quality. From the perspective of spectral variables, reflectance, vegetation index, and back-scattering coefficient appeared the most frequently in the frontiers. In addition to satellite remote sensing data and empirical models, unmanned air vehicle (UAV) platforms and artificial intelligence models have gradually become hot topics. This study enriches the readers\u2019 understanding and highlights the potential future research directions in RRS.<\/jats:p>","DOI":"10.3390\/rs14153607","type":"journal-article","created":{"date-parts":[[2022,7,28]],"date-time":"2022-07-28T22:43:26Z","timestamp":1659048206000},"page":"3607","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["A Bibliometric and Visualized Analysis of Research Progress and Trends in Rice Remote Sensing over the Past 42 Years (1980\u20132021)"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8350-4014","authenticated-orcid":false,"given":"Tianyue","family":"Xu","sequence":"first","affiliation":[{"name":"Key Laboratory of Agricultural Remote Sensing and Information System, Zhejiang University, Hangzhou 310058, China"},{"name":"Institute of Applied Remote Sensing & Information Technology, Zhejiang University, Hangzhou 310058, China"},{"name":"Ministry of Education Key Laboratory of Environmental Remediation and Ecological Health, Zhejiang University, Hangzhou 310058, China"}]},{"given":"Fumin","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Agricultural Remote Sensing and Information System, Zhejiang University, Hangzhou 310058, China"},{"name":"Institute of Applied Remote Sensing & Information Technology, Zhejiang University, Hangzhou 310058, China"},{"name":"Ministry of Education Key Laboratory of Environmental Remediation and Ecological Health, Zhejiang University, Hangzhou 310058, China"}]},{"given":"Qiuxiang","family":"Yi","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"}]},{"given":"Lili","family":"Xie","sequence":"additional","affiliation":[{"name":"Institute of Applied Remote Sensing & Information Technology, Zhejiang University, Hangzhou 310058, China"},{"name":"Ministry of Education Key Laboratory of Environmental Remediation and Ecological Health, Zhejiang University, Hangzhou 310058, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4275-7004","authenticated-orcid":false,"given":"Xiaoping","family":"Yao","sequence":"additional","affiliation":[{"name":"Institute of Applied Remote Sensing & Information Technology, Zhejiang University, Hangzhou 310058, China"},{"name":"Ministry of Education Key Laboratory of Environmental Remediation and Ecological Health, Zhejiang University, Hangzhou 310058, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,7,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1023\/A:1005810616885","article-title":"Origin, dispersal, cultivation and variation of rice","volume":"35","author":"Khush","year":"1997","journal-title":"Plant Mol. 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