To investigate variations in rock Cu content and changes in spectral reflectance Cu content, To identify the best index for predicting Cu content, To examine the relationship between spectral indices and measured Cu content. It provides data for prospecting in areas without sufficient geochemical data, and thus is of vital significance in prospecting for ores in such regions. In the infrared region (small frequencies), this equation shows that metals with high reflectance also are good conductors. Copyright © 2020 Elsevier B.V. or its licensors or contributors. We use cookies to help provide and enhance our service and tailor content and ads. Optical constants of Cu (Copper) Johnson and Christy 1972: n,k 0.188-1.937 µm https://doi.org/10.1016/j.gexplo.2019.05.002. The highest R 2, RMSE, and RMSE% values are given for each type of index. All spectral indices listed in Table 1 were examined and the results are presented in Table 2. © 2019 Elsevier B.V. All rights reserved. 19690022517 . Share. Other - NASA Technical Note (TN) Authors. ... a multichannel VNIR spectrum analyzer is utilized to measure the spectrum of the seven most important slurry lines in copper and zinc flotation circuits. Solar absorptances and spectral reflectances of 12 metals for temperatures ranging from 300 to 500 K Solar absorptances and spectral reflectances of metals. Hyperspectral remote sensing allows sampling at high temporal resolutions as well as rapid and non-destructive characterization of a wide range of mineralization, enabling identification of element content through spectral features. RESOURCES Metal Reflectivity Chart With metals, it is often desired to have a reflective surface-not necessarily blindingly bright but one that catches the eye. ohmpercentimetercubeat2i°.8or3.99timesthatofcopper. In its liquid state, water has relatively low reflectance, with clear water having the greatest reflectance in the blue portion of the visible part of the spectrum. ScienceDirect ® is a registered trademark of Elsevier B.V. ScienceDirect ® is a registered trademark of Elsevier B.V. Data mining of the best spectral indices for geochemical anomalies of copper: A study in the northwestern Junggar region, Xinjiang. 4. Water has high absorption and virtually no reflectance in near infrared wavelengths range and beyond. The sample of tungsten uponwhich the reflectivity oberservations were made had a specific resistance of 0.0000063 at2i°.5 C, or Multichannel reflectance spectral assaying of zinc and copper flotation slurries. Reflectance and conductivity. For copper-stressed leaves, excessive copper would change the spectral reflectance of leaves. The best wavelength domains for a given type of index were determined from four types of spectral indices by screening all combinations using correlation analysis. Show more. With sensitive wavelengths and a significant correlation coefficient (R2 = 0.63, P < 0.005), the Normalized Difference (ND)-type index was the most sensitive to Cu content exceeding 10,000 ppm. Download : Download high-res image (502KB) Download : Download full-size image; Fig. In this study, a level analysis of Cu content via spectral indices in the northwestern Junggar region, Xinjiang, was conducted. Based on four levels (0–100 ppm, 100–1000 ppm, 1000–10,000 ppm, and >10,000 ppm) of Cu content and corresponding spectral reflectance, simple and useful spectral indices for estimating Cu content at different levels were explored. Document ID. Although the ND-type index has a few limitations, it is a useful, simple, and robust indicator for determining Cu at high concentrations. Turbid water has a higher reflectance in the visible regio… Bowman, R. L. (NASA Lewis Research Center Cleveland, OH, United States) The metallic reflectance can be related to the conductivity by the Hagens-Ruben equation (Equation \ref{5}), where ν is the light frequency, ε 0 is the vacuum permitivity (8.85 x 10-12 F/m), and σ is the conductivity. By continuing you agree to the use of cookies. Soil samples were collected from an abandoned mine area, and the chemical analysis revealed extremely high contamination amount of copper (Cu), zinc (Zn), arsenic (As), cadmium (Cd), and lead (Pb). 4. The coefficient of determination (R2) for Cu was calculated for all indices derived from the spectra of rock samples and was found to range from 0.02 to 0.75. The spectral reflectance curves of samples are shown in Fig. Abstract: This article examined the spectral interference by heavy metal on the spectral signal of moisture content of heavy metal contaminated soils. Document Type. Author links open overlay panel Olli Haavisto Jani Kaartinen. Its relative reflectivity is much greater than surrounding surfaces. However, approaches for remotely sensing elements are still lacking, particularly for element content.

.

Purba Burdwan Police Station List, Glass Creek Fishing, Ninja Foodi Grill Pork Chops Time, Crab Soup Without Cream, Shea Moisture Jamaican Black Castor Oil Shampoo Review, Lime Jelly Cheesecake Uk, Sword Of Destiny Audiobook, Keto Blt Wrap With Avocado, Saitama Prefecture Map, Kansas Driver's License Renewal Covid, How Do Hunahpu And Xbalanque Conquer Xibalba?, Barium Sulfate Precipitate Color,