NDLI: Inverse Retrieval of Chlorophyll From Reflected Spectra for Assimilating Branches of Drought-Tolerant <italic>Tamarix ramosissima</italic>

Content Provider	IEEE Xplore Digital Library
Author	Sinan Zhang Quan Wang
Copyright Year	2008
Abstract	Leaf chlorophyll content is a critical indicator for the better understanding of the featured carbon cycle and ecosystem functions in arid regions. The potential applicability of the inverse retrieval of chlorophyll via the radiative transfer model PROSPECT has been intensively examined in this study for a dominant species in desert ecosystems, Tamarix ramosissima, in central Asia, which has distinct structural features of xeromorphism and its young twig functioned as “assimilating organisms.” This study revealed that the performance of the inverse retrieval based on the original version of PROSPECT-4 was poor with very low accuracy. As a comparison, its calibrated version was capable of accurate retrieval of chlorophyll content, which recorded an R² (coefficient of determination) of 0.47 with a root mean square error (RMSE) of 28.79 mg/m², over the entire measured chlorophyll range, from 57.37 to 202.27 mg/m². The model calibration is not considered to be overfitting since the tenfold cross-validation shows a close RMSE value of 26.19 mg/m². The effects of the percentage of training dataset for calibration and the number of calibration repeats have also been intensively investigated in this study. Despite some inherent defects of applying broadleaforiented PROSPECT on assimilating branches, it remains a feasible selection to inversely retrieve the chlorophyll content from the reflectance and thus provides a base for investigating the chlorophyll content of desert plants using hyperspectral remote sensing.
Starting Page	1498
Ending Page	1505
Page Count	8
File Size	695956
File Format	PDF
ISSN	19391404
Volume Number	8
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Calibration Absorption Ecosystems Data models Accuracy Biological system modeling Needles \textit{Tamarix ramosissima} chlorophyll inversion PROSPECT Tamarix ramosissima
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science Computers in Earth Sciences

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