A reflectance spectra model for copper-stressed leaves: advances in the PROSPECT model through addition of the specific absorption coefficients of the copper ion

Zhu, Yeqing; Qu, Yonghua; Liu, Suhong; Chen, Shengbo

doi:10.1080/01431161.2013.876123

Cited by 34 publications

(22 citation statements)

References 8 publications

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“…For copper-stressed leaves, excessive copper would change the spectral reflectance of leaves. Hence, to simulate the reflectance of copper-stressed leaves, the copper content and the specific absorption coefficient related to copper was added into the PROSPECT model [23]. Zhu et al [23] initiated research on the physical reflectance model of copper-stressed leaves.…”

Section: Introductionmentioning

confidence: 99%

“…Hence, to simulate the reflectance of copper-stressed leaves, the copper content and the specific absorption coefficient related to copper was added into the PROSPECT model [23]. Zhu et al [23] initiated research on the physical reflectance model of copper-stressed leaves. However, in [23], there are still some problems needing to be addressed, whereas subsequent studies were not found in public literatures.…”

Section: Introductionmentioning

confidence: 99%

“…Zhu et al [23] initiated research on the physical reflectance model of copper-stressed leaves. However, in [23], there are still some problems needing to be addressed, whereas subsequent studies were not found in public literatures. These problems are shown as follows.…”

Section: Introductionmentioning

confidence: 99%

“…These problems are shown as follows. (1) The structure parameter N of copper-treated leaf is determined using the reflectance at 800-1200 nm, and the absorption of copper ion was ignored in this wavelength range in the [23]. However, according to the theory of electron transition and experimental observation [24], there is a significant absorption of copper ion at 700-900 nm.…”

Section: Introductionmentioning

confidence: 99%

“…(2) Carotenoid content has been treated as an input variable in the popular PROSPECT-5 model and has important influence on the reflectance of leaves. However, the carotenoid content and its specific absorption coefficient were ignored in the model developed in [23]. (3) The absorption characteristics of biochemical components (water, chlorophyll, dry matter, pigment) are inherent and should be remained unchanged in the advanced model for copper-stressed leaves.…”

Section: Introductionmentioning

confidence: 99%

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Advancing the PROSPECT-5 Model to Simulate the Spectral Reflectance of Copper-Stressed Leaves

et al. 2017

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This paper proposes a modified model based on the PROSPECT-5 model to simulate the spectral reflectance of copper-stressed leaves. Compared with PROSPECT-5, the modified model adds the copper content of leaves as one of input variables, and the specific absorption coefficient related to copper (K cu ) was estimated and fixed in the modified model. The specific absorption coefficients of other biochemical components (chlorophyll, carotenoid, water, dry matter) were the same as those in PROSPECT-5. Firstly, based on PROSPECT-5, we estimated the leaf structure parameters (N), using biochemical contents (chlorophyll, carotenoid, water, and dry matter) and the spectra of all the copper-stressed leaves (samples). Secondly, the specific absorption coefficient related to copper (K cu ) was estimated by fitting the simulated spectra to the measured spectra using 22 samples. Thirdly, other samples were used to verify the effectiveness of the modified model. The spectra with the new model are closer to the measured spectra when compared to that with PROSPECT-5. Moreover, for all the datasets used for validation and calibration, the root mean square errors (RMSEs) from the new model are less than that from PROSPECT-5. The differences between simulated reflectance and measured reflectance at key wavelengths with the new model are nearer to zero than those with the PROSPECT-5 model. This study demonstrated that the modified model could get more accurate spectral reflectance from copper-stressed leaves when compared with PROSPECT-5, and would provide theoretical support for monitoring the vegetation stressed by copper using remote sensing.

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Section: Introductionmentioning

confidence: 99%