{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T09:30:42Z","timestamp":1766136642104,"version":"build-2065373602"},"reference-count":34,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2015,10,27]],"date-time":"2015-10-27T00:00:00Z","timestamp":1445904000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In this study, backward and forward fluorescence radiance within the emission spectrum of 640\u2013850 nm were measured for leaves of soybean, cotton, peanut and wheat using a hyperspectral spectroradiometer coupled with an integration sphere. Fluorescence parameters of crop leaves were retrieved from the leaf hyperspectral measurements by inverting the FluorMODleaf model, a leaf-level fluorescence model able to simulate chlorophyll fluorescence spectra for both sides of leaves. This model is based on the widely used and validated PROSPECT (leaf optical properties) model. Firstly, a sensitivity analysis of the FluorMODleaf model was performed to identify and quantify influential parameters to assist the strategy for the inversion. Implementation of the Extended Fourier Amplitude Sensitivity Test (EFAST) method showed that the leaf chlorophyll content and the fluorescence lifetimes of photosystem I (PSI) and photosystem II (PSII) were the most sensitive parameters among all eight inputs of the FluorMODleaf model. Based on results of sensitivity analysis, the FluorMODleaf model was inverted using the leaf fluorescence spectra measured from both sides of crop leaves. In order to achieve stable inversion  results, the Bayesian inference theory was applied. The relative absorption cross section of PSI and PSII and the fluorescence lifetimes of PSI and PSII of the FluorMODleaf model were retrieved with the Bayesian inversion approach. Results showed that the coefficient of determination (R2) and root mean square error (RMSE) between the fluorescence signal reconstructed from the inverted fluorescence parameters and measured in the experiment were 0.96 and 3.14 \u00d7 10\u22126 W\u00b7m\u22122\u00b7sr\u22121\u00b7nm\u22121, respectively, for backward fluorescence, and 0.92 and 3.84 \u00d7 10\u22126 W\u00b7m\u22122\u00b7sr\u22121\u00b7nm\u22121 for forward fluorescence. Based on results, the inverted values of the fluorescence parameters were analyzed, and the potential of this method was investigated.<\/jats:p>","DOI":"10.3390\/rs71014179","type":"journal-article","created":{"date-parts":[[2015,10,27]],"date-time":"2015-10-27T17:23:21Z","timestamp":1445966601000},"page":"14179-14199","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Quantitative Estimation of Fluorescence Parameters for Crop Leaves with Bayesian Inversion"],"prefix":"10.3390","volume":"7","author":[{"given":"Feng","family":"Zhao","sequence":"first","affiliation":[{"name":"School of Instrumentation Science and Opto-electronics Engineering, Beihang University,  Beijing 100191, China"}]},{"given":"Yiqing","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Instrumentation Science and Opto-electronics Engineering, Beihang University,  Beijing 100191, China"}]},{"given":"Yanbo","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Agriculture-Agricultural Research Service,  Crop Production Systems Research Unit, 141 Experiment Station Road, Stoneville, MS 38776, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4696-2144","authenticated-orcid":false,"given":"Wout","family":"Verhoef","sequence":"additional","affiliation":[{"name":"Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente,  P.O. Box 217, Enschede 7500 AE, The Netherlands"}]},{"given":"Christiaan","family":"Van der Tol","sequence":"additional","affiliation":[{"name":"Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente,  P.O. Box 217, Enschede 7500 AE, The Netherlands"}]},{"given":"Bo","family":"Dai","sequence":"additional","affiliation":[{"name":"School of Instrumentation Science and Opto-electronics Engineering, Beihang University,  Beijing 100191, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7987-037X","authenticated-orcid":false,"given":"Liangyun","family":"Liu","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences,  No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China"}]},{"given":"Huijie","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Instrumentation Science and Opto-electronics Engineering, Beihang University,  Beijing 100191, China"}]},{"given":"Guang","family":"Liu","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences,  No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China"}]}],"member":"1968","published-online":{"date-parts":[[2015,10,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2037","DOI":"10.1016\/j.rse.2009.05.003","article-title":"Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications","volume":"113","author":"Meroni","year":"2009","journal-title":"Remote Sens. 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