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Remote Sens. 2017, 9(11), 1191;

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

Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China
Beijing Key Lab of Spatial Information Integration and 3S Application, Peking University, Beijing 100871, China
Mapping and Geo-Information for Geographic Information Basic Softwares and Applications, Engineering Research Center of National Administration of Surveying, Beijing 100871, China
School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA
Earth Observation System & Data Center, China National Space Administration, Beijing 100101, China
Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Author to whom correspondence should be addressed.
Received: 26 September 2017 / Revised: 14 November 2017 / Accepted: 17 November 2017 / Published: 20 November 2017
PDF [8274 KB, uploaded 20 November 2017]


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 (Kcu) 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 (Kcu) 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. View Full-Text
Keywords: vegetation remote sensing; reflectance model; spectra; leaf; copper; PROSPECT vegetation remote sensing; reflectance model; spectra; leaf; copper; PROSPECT

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Zhang, C.; Ren, H.; Liang, Y.; Liu, S.; Qin, Q.; Ersoy, O.K. Advancing the PROSPECT-5 Model to Simulate the Spectral Reflectance of Copper-Stressed Leaves. Remote Sens. 2017, 9, 1191.

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