{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T03:34:06Z","timestamp":1772681646325,"version":"3.50.1"},"reference-count":48,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2019,9,15]],"date-time":"2019-09-15T00:00:00Z","timestamp":1568505600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"The National Key Research and Development Program of China","award":["2016YFD0200102"],"award-info":[{"award-number":["2016YFD0200102"]}]},{"name":"The Technology Development Program of Jilin Province, China","award":["20180201012GX"],"award-info":[{"award-number":["20180201012GX"]}]},{"name":"&quot;The 13th Five-Year plan&quot; Science and Technology Project of the Department of Education, Jilin Province","award":["JJKH20170915KJ"],"award-info":[{"award-number":["JJKH20170915KJ"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Relatively little research has assessed the impact of spectral differences among dorsiventral leaves caused by leaf structure on leaf chlorophyll content (LCC) retrieval. Based on reflectance measured from peanut adaxial and abaxial leaves and LCC measurements, this study proposed a dorsiventral leaf adjusted ratio index (DLARI) to adjust dorsiventral leaf structure and improve LCC retrieval accuracy. Moreover, the modified Datt (MDATT) index, which was insensitive to leaves structure, was optimized for peanut plants. All possible wavelength combinations for the DLARI and MDATT formulae were evaluated. When reflectance from both sides were considered, the optimal combination for the MDATT formula was      (   R  723   \u2212  R  738    )  \/  (   R  723   \u2212  R  722    )      with a cross-validation R2cv of 0.91 and RMSEcv of 3.53 \u03bcg\/cm2. The DLARI formula provided the best performing indices, which were      (   R  735   \u2212  R  753    )  \/  (   R  715   \u2212  R  819    )      for estimating LCC from the adaxial surface (R2cv = 0.96, RMSEcv = 2.37 \u03bcg\/cm2) and      (   R  732   \u2212  R  754    )  \/  (   R  724   \u2212  R  773    )      for estimating LCC from reflectance of both sides (R2cv = 0.94, RMSEcv = 2.81 \u03bcg\/cm2). A comparison with published vegetation indices demonstrated that the published indices yielded reliable estimates of LCC from the adaxial surface but performed worse than DLARIs when both leaf sides were considered. This paper concludes that the DLARI is the most promising approach to estimate peanut LCC.<\/jats:p>","DOI":"10.3390\/rs11182148","type":"journal-article","created":{"date-parts":[[2019,9,16]],"date-time":"2019-09-16T03:17:57Z","timestamp":1568603877000},"page":"2148","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Estimating Peanut Leaf Chlorophyll Content with Dorsiventral Leaf Adjusted Indices: Minimizing the Impact of Spectral Differences between Adaxial and Abaxial Leaf Surfaces"],"prefix":"10.3390","volume":"11","author":[{"given":"Mengmeng","family":"Xie","sequence":"first","affiliation":[{"name":"Key Laboratory of Geographical Processes and Ecological Security in Changbai Mountains, Ministry of Education, School of Geographical Sciences, Northeast Normal University, Changchun 130024, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7851-8892","authenticated-orcid":false,"given":"Zhongqiang","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Geographical Processes and Ecological Security in Changbai Mountains, Ministry of Education, School of Geographical Sciences, Northeast Normal University, Changchun 130024, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2809-2376","authenticated-orcid":false,"given":"Alfredo","family":"Huete","sequence":"additional","affiliation":[{"name":"Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4807-9056","authenticated-orcid":false,"given":"Luke A.","family":"Brown","sequence":"additional","affiliation":[{"name":"School of Geography and Environmental Science, University of Southampton, Highfield, Southampton, SO17 1BJ, UK"}]},{"given":"Heyu","family":"Wang","sequence":"additional","affiliation":[{"name":"Agronomy College, Shenyang Agricultural University, Shenyang 110866, China"}]},{"given":"Qiaoyun","family":"Xie","sequence":"additional","affiliation":[{"name":"Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia"}]},{"given":"Xinpeng","family":"Xu","sequence":"additional","affiliation":[{"name":"Ministry of Agriculture Key Laboratory of Plant Nutrition and Fertilizer, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2374-323X","authenticated-orcid":false,"given":"Yanling","family":"Ding","sequence":"additional","affiliation":[{"name":"Key Laboratory of Geographical Processes and Ecological Security in Changbai Mountains, Ministry of Education, School of Geographical Sciences, Northeast Normal University, Changchun 130024, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,9,15]]},"reference":[{"key":"ref_1","unstructured":"(2019, May 21). 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