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Influence of light intensity distribution characteristics of light source on measurement results of canopy reflectance spectrometers
BACKGROUND: The characteristics of light source have an important influence on the measurement performance of canopy reflectance spectrometer. The size of the effective irradiation area and the uniformity of the light intensity distribution in the irradiation area determine the ability of the spectr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520300/ https://www.ncbi.nlm.nih.gov/pubmed/34656139 http://dx.doi.org/10.1186/s13007-021-00804-8 |
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author | Yu, Hongfeng Ding, Yongqian Xu, Huanliang Wu, Xueni Dou, Xianglin |
author_facet | Yu, Hongfeng Ding, Yongqian Xu, Huanliang Wu, Xueni Dou, Xianglin |
author_sort | Yu, Hongfeng |
collection | PubMed |
description | BACKGROUND: The characteristics of light source have an important influence on the measurement performance of canopy reflectance spectrometer. The size of the effective irradiation area and the uniformity of the light intensity distribution in the irradiation area determine the ability of the spectrometer to express the group characteristics of the measured objects. METHODS: In this paper, an evaluation method was proposed to theoretically analyze the influence of the light intensity distribution characteristics of the light source irradiation area on the measurement results. The light intensity distribution feature vector and the reflectance feature vector of the measured object were constructed to design reflectance difference coefficient, which could effectively evaluate the measurement performance of the canopy reflectance spectrometer. By using self-design light intensity distribution test system and GreenSeeker RT100, the evaluation method was applied to evaluate the measurement results. RESULTS: The evaluation results showed that the vegetation indices based on the arithmetic average reflectance of the measured object could be obtained theoretically only when the light intensity distribution of the light source detected by the spectrometer was uniform, which could fully express the group characteristics of the object. When the light intensity distribution of the active light source was not uniform, the measure value was difficult to fully express the group characteristics of the object. And the measured object reflectance was merely the weighted average value based on the light intensity distribution characteristics. CONCLUSIONS: According to the research results of this paper, sunlight is the most ideal detection light source. If the passive light source spectrometer can improve the measurement method to adapt to the change of sunlight intensity, its measurement performance will be better than any active-light spectrometer. |
format | Online Article Text |
id | pubmed-8520300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85203002021-10-20 Influence of light intensity distribution characteristics of light source on measurement results of canopy reflectance spectrometers Yu, Hongfeng Ding, Yongqian Xu, Huanliang Wu, Xueni Dou, Xianglin Plant Methods Research BACKGROUND: The characteristics of light source have an important influence on the measurement performance of canopy reflectance spectrometer. The size of the effective irradiation area and the uniformity of the light intensity distribution in the irradiation area determine the ability of the spectrometer to express the group characteristics of the measured objects. METHODS: In this paper, an evaluation method was proposed to theoretically analyze the influence of the light intensity distribution characteristics of the light source irradiation area on the measurement results. The light intensity distribution feature vector and the reflectance feature vector of the measured object were constructed to design reflectance difference coefficient, which could effectively evaluate the measurement performance of the canopy reflectance spectrometer. By using self-design light intensity distribution test system and GreenSeeker RT100, the evaluation method was applied to evaluate the measurement results. RESULTS: The evaluation results showed that the vegetation indices based on the arithmetic average reflectance of the measured object could be obtained theoretically only when the light intensity distribution of the light source detected by the spectrometer was uniform, which could fully express the group characteristics of the object. When the light intensity distribution of the active light source was not uniform, the measure value was difficult to fully express the group characteristics of the object. And the measured object reflectance was merely the weighted average value based on the light intensity distribution characteristics. CONCLUSIONS: According to the research results of this paper, sunlight is the most ideal detection light source. If the passive light source spectrometer can improve the measurement method to adapt to the change of sunlight intensity, its measurement performance will be better than any active-light spectrometer. BioMed Central 2021-10-16 /pmc/articles/PMC8520300/ /pubmed/34656139 http://dx.doi.org/10.1186/s13007-021-00804-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Yu, Hongfeng Ding, Yongqian Xu, Huanliang Wu, Xueni Dou, Xianglin Influence of light intensity distribution characteristics of light source on measurement results of canopy reflectance spectrometers |
title | Influence of light intensity distribution characteristics of light source on measurement results of canopy reflectance spectrometers |
title_full | Influence of light intensity distribution characteristics of light source on measurement results of canopy reflectance spectrometers |
title_fullStr | Influence of light intensity distribution characteristics of light source on measurement results of canopy reflectance spectrometers |
title_full_unstemmed | Influence of light intensity distribution characteristics of light source on measurement results of canopy reflectance spectrometers |
title_short | Influence of light intensity distribution characteristics of light source on measurement results of canopy reflectance spectrometers |
title_sort | influence of light intensity distribution characteristics of light source on measurement results of canopy reflectance spectrometers |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520300/ https://www.ncbi.nlm.nih.gov/pubmed/34656139 http://dx.doi.org/10.1186/s13007-021-00804-8 |
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