A Wavelet-Based Area Parameter for Indirectly Estimating Copper Concentration in Carex Leaves from Canopy Reflectance

Wang, Junjie; Wang, Zhihui; Shi, Tiezhu; Wu, Guofeng; Skidmore, A.K.

doi:10.3390/rs71115340

Cited by 39 publications

(20 citation statements)

References 47 publications

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“…However, as previously mentioned, the copper content in a copper-stressed leaf would be approximately 100 times more than that in a normal leaf, which has been verified by the measured results from several previous studies (e.g., [4,6]). Hence, the absorption related to copper should be considered, and thus the calculation method of K(λ) was modified as Equation (3).…”

Section: Determination Of Specific Absorption Coefficient Related To supporting

confidence: 83%

“…Copper content in a healthy leaf is normally 5 to 30 mg/kg [4]. However, as previously mentioned, the copper content in a copper-stressed leaf would be approximately 100 times more than that in a normal leaf, which has been verified by the measured results from several previous studies (e.g., [4,6]).…”

Section: Determination Of Specific Absorption Coefficient Related To supporting

confidence: 70%

“…Remote sensing provides a rapid and large-scale tool for geobotanical prospecting [1][2][3] and environmental monitoring [4]. For the vegetation on copper deposits or the area polluted by industrial activities related to copper, excessive copper elements would be absorbed by root systems, and then stress the growth of plants and change the spectral reflectance of leaves.…”

Section: Introductionmentioning

confidence: 99%

“…Hence, the reflectance of leaves on copper-stressed vegetation is crucial for prospecting copper deposit and monitoring copper-pollution. Currently, most studies on remote sensing of vegetation stressed by heavy metal or other stress factors focus on the change of reflectance and vegetation indices using empirical statistical methods; many statistical models have been proposed, but little research has focused on the physical model [4][5][6][7][8][9][10]. However, for many users, statistical models cannot meet the requirement for understanding the action mechanism of copper (Cu) stress on leaf reflectance.…”

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: Determination Of Specific Absorption Coefficient Related To supporting

confidence: 83%

Section: Determination Of Specific Absorption Coefficient Related To supporting

confidence: 70%

Section: Introductionmentioning

confidence: 99%

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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“…The least significant difference (LSD) tests are commonly used as multiple comparison test methods [64,65] and are suitable for our study because we examined 7 groups and 21 pairwise comparisons. Applying the LSD pairwise multiple comparison test method is equivalent to conducting multiple individual t-tests between all pairs of groups.…”

Section: Post Hoc Multiple Comparison Testsmentioning

confidence: 99%

Identifying the Lambertian Property of Ground Surfaces in the Thermal Infrared Region via Field Experiments

Qin

Yang

et al. 2017

Remote Sensing

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Abstract:Lambertian surfaces represent an important assumption when constructing thermal radiance transfer equations for remote sensing observations of ground surface temperatures. We identify the properties of ground surfaces in thermal infrared regions as Lambertian surfaces via field experiments. Because Lambertian surfaces present homogeneous thermal emissions levels in hemispheric directions for a specific ground surface under specific kinetic temperatures and emissions, we conducted a series of field experiments to illustrate the properties of such ground surfaces. Four typical ground surfaces were selected for the experiments to observe thermal emissions: bare soil, grass, water, and concrete. Radiance thermometers were used to observe ground emissions from seven directions: 30 • , 45 • , 60 • , 90 • , 120 • , 135 • , and 150 • . Solar zenith angles were considered for the observation of ground emissions. Experiments were conducted in five different regions of China (Beijing, Nanjing, Xilinguole, Yongzhou, and Jiangmen) during both daytime and nighttime. To determine whether different observation angles have significantly different effects on radiance, statistical analyses (ANOVA and Friedman test) were conducted. Post hoc multiple comparison tests and pairwise multiple comparisons were also conducted to examine the various pairings of observation angles and to measure the radiance differences. Roughly half of the radiance groups of all observed sites were tested via an ANOVA, and the remaining groups with unequal variances were subjected to the Friedman test. The results indicate that statistically significant differences in the radiance levels occurred among the seven angles for almost all of the sites (39 of the 40 groups). The results of our experiments indicate that the selected ground surfaces, especially the grass and the bare soil, may not behave with Lambertian properties in the thermal infrared region. This is probably attributed to the roughness of the selected surface, because we found that roughness is an important factor affecting the observed magnitude of thermal emission from different directions of the ground surface under study. Therefore, whether or not a terrestrial surface can be assumed to be a Lambertian surface should be based on their geometric structure. When the surface is relatively smooth, we can say that it is close to the Lambertian property in thermal emission.

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A New Hyperspectral Index for Estimating Copper Content in an Indicative Plant for the Exploration of Copper Deposit

Cui

Ding

Zhou

2019

J Plant Growth Regul

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A Wavelet-Based Area Parameter for Indirectly Estimating Copper Concentration in Carex Leaves from Canopy Reflectance

Cited by 39 publications

References 47 publications

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

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

Identifying the Lambertian Property of Ground Surfaces in the Thermal Infrared Region via Field Experiments

A New Hyperspectral Index for Estimating Copper Content in an Indicative Plant for the Exploration of Copper Deposit

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