A LIDAR-Compatible, Multichannel Raman Spectrometer for Remote Sensing of Water Temperature
The design and operation of a custom-built LIDAR-compatible, four-channel Raman spectrometer integrated to a 532 nm pulsed laser is presented. The multichannel design allowed for simultaneous collection of Raman photons at two spectral regions identified as highly sensitive to changes in water tempe...
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doaj-e143e8abc40d4b5b9e112308125cad002020-11-24T21:31:46ZengMDPI AGSensors1424-82202019-07-011913293310.3390/s19132933s19132933A LIDAR-Compatible, Multichannel Raman Spectrometer for Remote Sensing of Water TemperatureAndréa de Lima Ribeiro0Christopher Artlett1Helen Pask2MQ Photonics Research Centre, Department of Physics and Astronomy, Macquarie University, Sydney 2109, AustraliaMQ Photonics Research Centre, Department of Physics and Astronomy, Macquarie University, Sydney 2109, AustraliaMQ Photonics Research Centre, Department of Physics and Astronomy, Macquarie University, Sydney 2109, AustraliaThe design and operation of a custom-built LIDAR-compatible, four-channel Raman spectrometer integrated to a 532 nm pulsed laser is presented. The multichannel design allowed for simultaneous collection of Raman photons at two spectral regions identified as highly sensitive to changes in water temperature. For each of these spectral bands, the signals having polarization parallel to (∥) and perpendicular to (⟂), the excitation polarization were collected. Four independent temperature markers were calculated from the Raman signals: two-colour(∥), two-colour(⟂), depolarization(A) and depolarization(B). A total of sixteen datasets were analysed for one ultrapure (Milli-Q) and three samples of natural water. Temperature accuracies of ±0.4 °C−±0.8 °C were achieved using the two-colour(∥) marker. When multiple linear regression models were constructed (linear combination) utilizing all simultaneously acquired temperature markers, improved accuracies of ±0.3 °C−±0.7 °C were achieved.https://www.mdpi.com/1424-8220/19/13/2933Raman spectroscopyremote sensingwatertemperaturenatural watersLIDAR |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Andréa de Lima Ribeiro Christopher Artlett Helen Pask |
spellingShingle |
Andréa de Lima Ribeiro Christopher Artlett Helen Pask A LIDAR-Compatible, Multichannel Raman Spectrometer for Remote Sensing of Water Temperature Sensors Raman spectroscopy remote sensing water temperature natural waters LIDAR |
author_facet |
Andréa de Lima Ribeiro Christopher Artlett Helen Pask |
author_sort |
Andréa de Lima Ribeiro |
title |
A LIDAR-Compatible, Multichannel Raman Spectrometer for Remote Sensing of Water Temperature |
title_short |
A LIDAR-Compatible, Multichannel Raman Spectrometer for Remote Sensing of Water Temperature |
title_full |
A LIDAR-Compatible, Multichannel Raman Spectrometer for Remote Sensing of Water Temperature |
title_fullStr |
A LIDAR-Compatible, Multichannel Raman Spectrometer for Remote Sensing of Water Temperature |
title_full_unstemmed |
A LIDAR-Compatible, Multichannel Raman Spectrometer for Remote Sensing of Water Temperature |
title_sort |
lidar-compatible, multichannel raman spectrometer for remote sensing of water temperature |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2019-07-01 |
description |
The design and operation of a custom-built LIDAR-compatible, four-channel Raman spectrometer integrated to a 532 nm pulsed laser is presented. The multichannel design allowed for simultaneous collection of Raman photons at two spectral regions identified as highly sensitive to changes in water temperature. For each of these spectral bands, the signals having polarization parallel to (∥) and perpendicular to (⟂), the excitation polarization were collected. Four independent temperature markers were calculated from the Raman signals: two-colour(∥), two-colour(⟂), depolarization(A) and depolarization(B). A total of sixteen datasets were analysed for one ultrapure (Milli-Q) and three samples of natural water. Temperature accuracies of ±0.4 °C−±0.8 °C were achieved using the two-colour(∥) marker. When multiple linear regression models were constructed (linear combination) utilizing all simultaneously acquired temperature markers, improved accuracies of ±0.3 °C−±0.7 °C were achieved. |
topic |
Raman spectroscopy remote sensing water temperature natural waters LIDAR |
url |
https://www.mdpi.com/1424-8220/19/13/2933 |
work_keys_str_mv |
AT andreadelimaribeiro alidarcompatiblemultichannelramanspectrometerforremotesensingofwatertemperature AT christopherartlett alidarcompatiblemultichannelramanspectrometerforremotesensingofwatertemperature AT helenpask alidarcompatiblemultichannelramanspectrometerforremotesensingofwatertemperature AT andreadelimaribeiro lidarcompatiblemultichannelramanspectrometerforremotesensingofwatertemperature AT christopherartlett lidarcompatiblemultichannelramanspectrometerforremotesensingofwatertemperature AT helenpask lidarcompatiblemultichannelramanspectrometerforremotesensingofwatertemperature |
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1725959745364295680 |