Development of a vegetation canopy reflectance sensor and its diurnal applicability under clear sky conditions
The spectral reflectance provides valuable information regarding vegetation growth and plays an important role in agriculture, forestry, and grassland management. In this study, a small, portable vegetation canopy reflectance (VCR) sensor that can operate throughout the day was developed. The sensor...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Plant Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2024.1512660/full |
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| author | Naisen Liu Naisen Liu Naisen Liu Jingyu Guo Fuxia Liu Fuxia Liu Fuxia Liu Xuedong Zha Jing Cao Yuezhen Chen Haixia Yan Chenggong Du Chenggong Du Chenggong Du Xuqi Wang Jiping Li Jiping Li Jiping Li Yongzhen Zhao |
| author_facet | Naisen Liu Naisen Liu Naisen Liu Jingyu Guo Fuxia Liu Fuxia Liu Fuxia Liu Xuedong Zha Jing Cao Yuezhen Chen Haixia Yan Chenggong Du Chenggong Du Chenggong Du Xuqi Wang Jiping Li Jiping Li Jiping Li Yongzhen Zhao |
| author_sort | Naisen Liu |
| collection | DOAJ |
| description | The spectral reflectance provides valuable information regarding vegetation growth and plays an important role in agriculture, forestry, and grassland management. In this study, a small, portable vegetation canopy reflectance (VCR) sensor that can operate throughout the day was developed. The sensor includes two optical bands at 710 nm and 870 nm, with the light separated by filters, and has a field of view of 28°. It is powered by two 14500 rechargeable batteries and uses Wi-Fi for data transmission. The calibration of the sensor was performed using an integrating sphere, and a solar altitude correction model was constructed. The sensor’s accuracy was validated using a standard reflectance gray scale board. The results indicate that the root mean square error (RMSE) and mean absolute error (MAE) at 710 nm were 1.07% and 0.63%, respectively, while those at 870 nm were 0.94% and 0.50%, respectively. Vegetation at 14 sites was measured using both the VCR sensor and an Analytical Spectral Devices (ASD) spectroradiometer at nearly the same time for each site. The results show that the reflectance values measured by both devices were closely aligned. Measurements of Bermuda grass vegetation on clear days revealed that the intra-day reflectance range at 710 nm narrowed from 12.3–19.2% before solar altitude correction to 11.1–13.4% after correction, and the coefficient of variation (CV) decreased from 10.86% to 2.93%. Similarly, at 870 nm, the intra-day reflectance range decreased from 41.6–60.3% to 39.0–42.0%, and the CV decreased from 9.69% to 1.53%. In summary, this study offers a fundamental tool for monitoring vegetation canopy reflectance in the field, which is crucial for advancing high-quality agricultural, grassland, and forest management practices. |
| format | Article |
| id | doaj-art-c26f56b8bacf419a84cde25e06addc69 |
| institution | Kabale University |
| issn | 1664-462X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj-art-c26f56b8bacf419a84cde25e06addc692025-01-09T06:10:55ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2025-01-011510.3389/fpls.2024.15126601512660Development of a vegetation canopy reflectance sensor and its diurnal applicability under clear sky conditionsNaisen Liu0Naisen Liu1Naisen Liu2Jingyu Guo3Fuxia Liu4Fuxia Liu5Fuxia Liu6Xuedong Zha7Jing Cao8Yuezhen Chen9Haixia Yan10Chenggong Du11Chenggong Du12Chenggong Du13Xuqi Wang14Jiping Li15Jiping Li16Jiping Li17Yongzhen Zhao18Jiangsu Collaborative Innovation Center of Regional Modern Agriculture & Environmental Protection, Huaiyin Normal University, Huai’an, ChinaJiangsu Key Laboratory for Eco-Agricultural Biotechnology around Hongze Lake, Huaiyin Normal University, Huai’an, ChinaJiangsu Engineering Research Center for Cyanophytes Forecast and Ecological Restoration of Hongze Lake, Huaiyin Normal University, Huai’an, ChinaJiangsu Collaborative Innovation Center of Regional Modern Agriculture & Environmental Protection, Huaiyin Normal University, Huai’an, ChinaJiangsu Collaborative Innovation Center of Regional Modern Agriculture & Environmental Protection, Huaiyin Normal University, Huai’an, ChinaJiangsu Key Laboratory for Eco-Agricultural Biotechnology around Hongze Lake, Huaiyin Normal University, Huai’an, ChinaJiangsu Engineering Research Center for Cyanophytes Forecast and Ecological Restoration of Hongze Lake, Huaiyin Normal University, Huai’an, ChinaHuai’an Agricultural Information Center, Huai’an, ChinaJiangsu Academy of Agricultural Sciences, Wuxi, ChinaHuai’an Institute of Vegetable Sciences, Huai’an, ChinaHuai’an Agricultural Technology Extension Center, Huai’an, ChinaJiangsu Collaborative Innovation Center of Regional Modern Agriculture & Environmental Protection, Huaiyin Normal University, Huai’an, ChinaJiangsu Key Laboratory for Eco-Agricultural Biotechnology around Hongze Lake, Huaiyin Normal University, Huai’an, ChinaJiangsu Engineering Research Center for Cyanophytes Forecast and Ecological Restoration of Hongze Lake, Huaiyin Normal University, Huai’an, ChinaJiangsu Collaborative Innovation Center of Regional Modern Agriculture & Environmental Protection, Huaiyin Normal University, Huai’an, ChinaJiangsu Collaborative Innovation Center of Regional Modern Agriculture & Environmental Protection, Huaiyin Normal University, Huai’an, ChinaJiangsu Key Laboratory for Eco-Agricultural Biotechnology around Hongze Lake, Huaiyin Normal University, Huai’an, ChinaJiangsu Engineering Research Center for Cyanophytes Forecast and Ecological Restoration of Hongze Lake, Huaiyin Normal University, Huai’an, ChinaJiangsu Collaborative Innovation Center of Regional Modern Agriculture & Environmental Protection, Huaiyin Normal University, Huai’an, ChinaThe spectral reflectance provides valuable information regarding vegetation growth and plays an important role in agriculture, forestry, and grassland management. In this study, a small, portable vegetation canopy reflectance (VCR) sensor that can operate throughout the day was developed. The sensor includes two optical bands at 710 nm and 870 nm, with the light separated by filters, and has a field of view of 28°. It is powered by two 14500 rechargeable batteries and uses Wi-Fi for data transmission. The calibration of the sensor was performed using an integrating sphere, and a solar altitude correction model was constructed. The sensor’s accuracy was validated using a standard reflectance gray scale board. The results indicate that the root mean square error (RMSE) and mean absolute error (MAE) at 710 nm were 1.07% and 0.63%, respectively, while those at 870 nm were 0.94% and 0.50%, respectively. Vegetation at 14 sites was measured using both the VCR sensor and an Analytical Spectral Devices (ASD) spectroradiometer at nearly the same time for each site. The results show that the reflectance values measured by both devices were closely aligned. Measurements of Bermuda grass vegetation on clear days revealed that the intra-day reflectance range at 710 nm narrowed from 12.3–19.2% before solar altitude correction to 11.1–13.4% after correction, and the coefficient of variation (CV) decreased from 10.86% to 2.93%. Similarly, at 870 nm, the intra-day reflectance range decreased from 41.6–60.3% to 39.0–42.0%, and the CV decreased from 9.69% to 1.53%. In summary, this study offers a fundamental tool for monitoring vegetation canopy reflectance in the field, which is crucial for advancing high-quality agricultural, grassland, and forest management practices.https://www.frontiersin.org/articles/10.3389/fpls.2024.1512660/fullvegetation canopy reflectancespectral reflectanceadaptability to varying light intensitiessolar altitude correctionstability of full-daytime measurements |
| spellingShingle | Naisen Liu Naisen Liu Naisen Liu Jingyu Guo Fuxia Liu Fuxia Liu Fuxia Liu Xuedong Zha Jing Cao Yuezhen Chen Haixia Yan Chenggong Du Chenggong Du Chenggong Du Xuqi Wang Jiping Li Jiping Li Jiping Li Yongzhen Zhao Development of a vegetation canopy reflectance sensor and its diurnal applicability under clear sky conditions Frontiers in Plant Science vegetation canopy reflectance spectral reflectance adaptability to varying light intensities solar altitude correction stability of full-daytime measurements |
| title | Development of a vegetation canopy reflectance sensor and its diurnal applicability under clear sky conditions |
| title_full | Development of a vegetation canopy reflectance sensor and its diurnal applicability under clear sky conditions |
| title_fullStr | Development of a vegetation canopy reflectance sensor and its diurnal applicability under clear sky conditions |
| title_full_unstemmed | Development of a vegetation canopy reflectance sensor and its diurnal applicability under clear sky conditions |
| title_short | Development of a vegetation canopy reflectance sensor and its diurnal applicability under clear sky conditions |
| title_sort | development of a vegetation canopy reflectance sensor and its diurnal applicability under clear sky conditions |
| topic | vegetation canopy reflectance spectral reflectance adaptability to varying light intensities solar altitude correction stability of full-daytime measurements |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2024.1512660/full |
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