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Related Concept Videos

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Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
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A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
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A Simple Dewar/Cryostat for Thermally Equilibrating Samples at Known Temperatures for Accurate Cryogenic Luminescence Measurements
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Radiometric Calibration of a Dual-Wavelength, Full-Waveform Terrestrial Lidar.

Zhan Li1,2, David L B Jupp3, Alan H Strahler4

  • 1Department of Earth and Environment, Boston University, 675 Commonwealth Avenue, Boston, MA 02215, USA. zhanli86@bu.edu.

Sensors (Basel, Switzerland)
|March 8, 2016
PubMed
Summary

Radiometric calibration of the Dual-Wavelength Echidna Lidar (DWEL) provides accurate apparent reflectance (ρ(app)) for scanned targets. This calibration enhances vegetation structure analysis and data integration from diverse lidar sources.

Keywords:
DWELdual-wavelength lidarfull-waveform lidarradiometric calibrationterrestrial lidarvegetation structure

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Area of Science:

  • Remote Sensing
  • Geospatial Technology
  • Forestry Science

Background:

  • Terrestrial laser scanning (TLS) provides 3D structural data.
  • Dual-wavelength Echidna Lidar (DWEL) offers multi-spectral capabilities.
  • Accurate radiometric measurements are crucial for physical target characterization.

Purpose of the Study:

  • To develop and validate a radiometric calibration method for the DWEL.
  • To derive accurate dual-wavelength apparent reflectance (ρ(app)).
  • To assess the impact of calibration errors on target properties.

Main Methods:

  • Semi-empirical radiometric calibration model combining logistic and exponential functions.
  • Modeling telescopic effects and range-dependent intensity fall-off.
  • Sensitivity analysis of apparent reflectance errors.

Main Results:

  • Achieved ρ(app) errors of 8.1% at 1064 nm and 6.4% at 1548 nm.
  • Identified range and intensity errors as dominant factors influencing ρ(app) accuracy.
  • Demonstrated the effectiveness of the combined logistic and exponential model.

Conclusions:

  • Accurate ρ(app) from DWEL calibration improves vegetation structure quantification.
  • Calibration facilitates inter-comparison and integration of lidar datasets.
  • Enhanced spectral lidar data advances bi- and multi-spectral analysis in 3D scans.