Prism spectrometer analysis for field use

Adam Abdelatif, Nikolaus J Anderson, Oscar Hernandez, Jeffrey S Czapla-Myers

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Spectrometer Arduino Mega (SpAM) is a prism spectrometer that has been designed and fabricated by the Remote Sensing Group (RSG) at the College of Optical Sciences of the University of Arizona. SpAM is designed to be a low budget, stand alone, solar powered field spectrometer. RSG plans to use SpAM to measure the reflectance of natural surfaces in the field. After the laboratory calibration of SpAM, it will be deployed to the Radiometric Calibration Test Site (RadCaTS) at Railroad Valley, Nevada. A satellite uplink will allow RSG to upload SpAM measurements on a daily basis. SpAM measures and records the spectral composition of a light source or light reflected from a surface. The prism inside of SpAM refracts the input light onto a linear array of 512 silicon detectors. The detector-prism combination produces a spectral resolution of ∼2 nm, and the overall spectral range is 433-760 nm. The spectral radiometric measurements produced by SpAM are stored and processed by an Arduino mega micro controller with network capabilities for field applications. SpAM will be used to analyze the spectral reflectance of Railroad Valley dry lake, and its accuracy and performance will be determined by a comparison with filter-based radiometers that have been produced by RSG. This work presents the design and instrumentation of SpAM, and an assessment of its ability to provide radiometric results for satellite calibration and other radiometric measurement applications.

Original languageEnglish (US)
Title of host publicationEarth Observing Systems XXIII
EditorsJames J. Butler, Xiaoxiong Xiong, Xingfa Gu
PublisherSPIE
Volume10764
ISBN (Electronic)9781510620995
DOIs
StatePublished - Jan 1 2018
EventEarth Observing Systems XXIII 2018 - San Diego, United States
Duration: Aug 21 2018Aug 23 2018

Other

OtherEarth Observing Systems XXIII 2018
CountryUnited States
CitySan Diego
Period8/21/188/23/18

Fingerprint

Prism
Prisms
Spectrometer
prisms
Spectrometers
spectrometers
Remote Sensing
remote sensing
Remote sensing
rail transportation
Railroads
Calibration
Reflectance
valleys
Detector
Satellites
Radiometric Calibration
Silicon detectors
spectral reflectance
Linear Array

Keywords

  • Arduino
  • Field deployable
  • Hyper spectral radiometric measurement
  • Prism spectrometer
  • Radiometric calibration
  • Surface reflectance

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Abdelatif, A., Anderson, N. J., Hernandez, O., & Czapla-Myers, J. S. (2018). Prism spectrometer analysis for field use. In J. J. Butler, X. Xiong, & X. Gu (Eds.), Earth Observing Systems XXIII (Vol. 10764). [107640B] SPIE. https://doi.org/10.1117/12.2320682

Prism spectrometer analysis for field use. / Abdelatif, Adam; Anderson, Nikolaus J; Hernandez, Oscar; Czapla-Myers, Jeffrey S.

Earth Observing Systems XXIII. ed. / James J. Butler; Xiaoxiong Xiong; Xingfa Gu. Vol. 10764 SPIE, 2018. 107640B.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abdelatif, A, Anderson, NJ, Hernandez, O & Czapla-Myers, JS 2018, Prism spectrometer analysis for field use. in JJ Butler, X Xiong & X Gu (eds), Earth Observing Systems XXIII. vol. 10764, 107640B, SPIE, Earth Observing Systems XXIII 2018, San Diego, United States, 8/21/18. https://doi.org/10.1117/12.2320682
Abdelatif A, Anderson NJ, Hernandez O, Czapla-Myers JS. Prism spectrometer analysis for field use. In Butler JJ, Xiong X, Gu X, editors, Earth Observing Systems XXIII. Vol. 10764. SPIE. 2018. 107640B https://doi.org/10.1117/12.2320682
Abdelatif, Adam ; Anderson, Nikolaus J ; Hernandez, Oscar ; Czapla-Myers, Jeffrey S. / Prism spectrometer analysis for field use. Earth Observing Systems XXIII. editor / James J. Butler ; Xiaoxiong Xiong ; Xingfa Gu. Vol. 10764 SPIE, 2018.
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