Liu Naisen, Guo Jingyu, Liu Fuxia, Zha Xuedong, Cao Jing, Chen Yuezhen, Yan Haixia, Du Chenggong, Wang Xuqi, Li Jiping, Zhao Yongzhen
Jiangsu Collaborative Innovation Center of Regional Modern Agriculture & Environmental Protection, Huaiyin Normal University, Huai'an, China.
Jiangsu Key Laboratory for Eco-Agricultural Biotechnology around Hongze Lake, Huaiyin Normal University, Huai'an, China.
Front Plant Sci. 2025 Jan 9;15:1512660. doi: 10.3389/fpls.2024.1512660. eCollection 2024.
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.
光谱反射率提供了有关植被生长的有价值信息,在农业、林业和草地管理中发挥着重要作用。在本研究中,开发了一种小型便携式植被冠层反射率(VCR)传感器,该传感器可全天运行。该传感器包括两个710纳米和870纳米的光学波段,光线通过滤光片分离,视场为28°。它由两节14500可充电电池供电,并使用Wi-Fi进行数据传输。使用积分球对传感器进行校准,并构建了太阳高度校正模型。使用标准反射率灰度板验证了传感器的精度。结果表明,710纳米处的均方根误差(RMSE)和平均绝对误差(MAE)分别为1.07%和0.63%,而870纳米处的分别为0.94%和0.50%。在14个地点,几乎在每个地点的同一时间,使用VCR传感器和分析光谱设备(ASD)光谱辐射计对植被进行了测量。结果表明,两种设备测量的反射率值紧密吻合。晴天对百慕大草植被的测量表明,710纳米处的日内反射率范围从太阳高度校正前的12.3 - 19.2%缩小到校正后的11.1 - 13.4%,变异系数(CV)从10.86%降至2.93%。同样,在870纳米处,日内反射率范围从41.6 - 60.3%降至39.0 - 42.0%,CV从9.69%降至1.53%。总之,本研究为实地监测植被冠层反射率提供了一个基本工具,这对于推进高质量的农业、草地和森林管理实践至关重要。