{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T18:26:25Z","timestamp":1775327185236,"version":"3.50.1"},"reference-count":55,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2019,11,12]],"date-time":"2019-11-12T00:00:00Z","timestamp":1573516800000},"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":["41871247"],"award-info":[{"award-number":["41871247"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key R&amp;D Program of China","award":["2018YFD0200301"],"award-info":[{"award-number":["2018YFD0200301"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>C-band polarimetric synthetic aperture radar (PolSAR) data has been previously explored for estimating the leaf area index (LAI) of rice. Although the rice-growing cycle was partially covered in most of the studies, details for each phenological phase need to be further characterized. Additionally, the selection and exploration of polarimetric parameters are not comprehensive. This study evaluates the potential of a set of polarimetric parameters derived from multi-temporal RADARSAT-2 datasets for rice LAI estimation. The relationships of rice LAI with backscattering coefficients and polarimetric decomposition parameters have been examined in a complete phenological cycle. Most polarimetric parameters had weak relationships (R2 &lt; 0.30) with LAI at the transplanting, reproductive, and maturity phase. Stronger relationships (R2 &gt; 0.50) were observed at the vegetative phase. HV\/VV and      RVI FD      had significant relationships (R2 &gt; 0.80) with rice LAI for the whole growth period. They were utilized to develop empirical models. The best LAI inversion performance (RMSE = 0.81) was obtained when       RVI   FD       was used. The acceptable error demonstrated the possibility to use the decomposition parameters for rice LAI estimation. The HV\/VV-based model had a slightly lower estimation accuracy (RMSE = 1.29) but can be a practical alternative considering the wide availability of dual-polarized datasets.<\/jats:p>","DOI":"10.3390\/rs11222640","type":"journal-article","created":{"date-parts":[[2019,11,13]],"date-time":"2019-11-13T09:11:27Z","timestamp":1573636287000},"page":"2640","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Assessment of Leaf Area Index of Rice for a Growing Cycle Using Multi-Temporal C-Band PolSAR Datasets"],"prefix":"10.3390","volume":"11","author":[{"given":"Ze","family":"He","sequence":"first","affiliation":[{"name":"School of Resources and Environment, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu 611731, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4807-5012","authenticated-orcid":false,"given":"Shihua","family":"Li","sequence":"additional","affiliation":[{"name":"School of Resources and Environment, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu 611731, China"},{"name":"Center for Information Geoscience, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu 611731, China"}]},{"given":"Yong","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Geography, Planning, and Environment, East Carolina University, Greenville, NC 27858, USA"}]},{"given":"Yueming","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Resources and Environment, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu 611731, China"},{"name":"Guangdong Province Key Laboratory for Land use and consolidation, South China Agricultural University, Guangzhou 501642, China"},{"name":"Guangdong Province Engineering Research Center for Land Information Technology, South China Agricultural University, Guangzhou 501642, China"}]},{"given":"Feixiang","family":"Chen","sequence":"additional","affiliation":[{"name":"Guangdong Province Key Laboratory for Land use and consolidation, South China Agricultural University, Guangzhou 501642, China"},{"name":"Guangdong Province Engineering Research Center for Land Information Technology, South China Agricultural University, Guangzhou 501642, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,11,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1016\/j.asr.2011.09.011","article-title":"Monitoring of rice cropping intensity in the upper Mekong Delta, Vietnam using time-series MODIS data","volume":"49","author":"Chen","year":"2012","journal-title":"Adv. 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