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| Cadmium stress analysis based on the changes in latent heat flux and canopy structural parameter of rice using remotely sensed data |
| Received:December 10, 2016 |
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| KeyWord:cadmium stress;energy balance;latent heat flux;LAI;stress index |
| Author Name | Affiliation | E-mail | | LUO Li-bing | School of Information Engineering, China University of Geosciences(Beijing), Beijing 100083, China | | | LIU Xiang-nan | School of Information Engineering, China University of Geosciences(Beijing), Beijing 100083, China | liuxn@cugb.edu.cn | | WU Ling | School of Information Engineering, China University of Geosciences(Beijing), Beijing 100083, China | | | LIU Mei-ling | School of Information Engineering, China University of Geosciences(Beijing), Beijing 100083, China | |
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| Abstract: |
| A physiological function sensitivity index (Pf), created by combining the rice canopy energy balance model and the structural parameter Leaf Area Index (LAI), is proposed in order to analyze the cadmium stress level of rice. Firstly, the latent heat flux (LE) of rice was simulated based on an energy balance model using remote sensing and in situ measured data, and then the Pf, which can reflect the physiological function of rice, was developed using LE and the LAI. Finally, the cadmium stress in rice was evaluated using the Pf. The results show that higher cadmium stress generally corresponds to smaller values of LE, the LAI, and the Pf. LE could only distinguish high cadmium stress from other levels (medium/low) and the LAI could only discriminate high and medium cadmium stress from low stress; however, the Pf could differentiate the three levels of cadmium stress of rice. The classification accuracies of Pf for high, medium, and low stress were 70.59%, 69.05%, and 84.79%, respectively. Pf can effectively discriminate different cadmium stress levels; therefore, it is an important reference for monitoring heavy metal stress of crops. |
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