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Generality of leaf spectroscopic models for predicting key foliar functional traits across continents: A comparison between physically- and empirically-based approaches.

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Title: Generality of leaf spectroscopic models for predicting key foliar functional traits across continents: A comparison between physically- and empirically-based approaches.
Authors: Wang, Zhihui1, zwang896@wisc.edu, Féret, Jean-Baptiste2, Liu, Nanfeng3, Sun, Zhongyu1, Yang, Long1, Geng, Shoubao1, Zhang, Hui4,5, Chlus, Adam6, Kruger, Eric L.6, Townsend, Philip A.6
Source: Remote Sensing of Environment; Aug2023, Vol. 293, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 163865843
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Generality of leaf spectroscopic models for predicting key foliar functional traits across continents: A comparison between physically- and empirically-based approaches.
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  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing+of+Environment%22">Remote Sensing of Environment</searchLink>; Aug2023, Vol. 293, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=163865843
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.rse.2023.113614
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      – Code: eng
        Text: English
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        PageCount: 1
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      – TitleFull: Generality of leaf spectroscopic models for predicting key foliar functional traits across continents: A comparison between physically- and empirically-based approaches.
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            – D: 01
              M: 08
              Text: Aug2023
              Type: published
              Y: 2023
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              Value: 293
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            – TitleFull: Remote Sensing of Environment
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