A UAV-Based Dual-Spectroradiometer Method for Hyperspectral Reflectance Measurement.
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| Title: | A UAV-Based Dual-Spectroradiometer Method for Hyperspectral Reflectance Measurement. |
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| Authors: | Mi, Haoheng1,2,3 (AUTHOR), Zhang, Yu1,2,3 (AUTHOR), Guan, Hong3,4 (AUTHOR), Jiang, Kang1,2,4 (AUTHOR) jiangkang@aircas.ac.cn, Zhao, Yongchao1,2,3 (AUTHOR) |
| Source: | Remote Sensing. Apr2026, Vol. 18 Issue 7, p1093. 24p. |
| Subjects: | Spectroradiometer, Reflectance measurement, Spectral reflectance, Remote sensing, Agricultural drones, Daylight |
| Abstract: | Highlights: What are the main findings? A UAV-based dual-spectroradiometer system is developed for retrieving hyperspectral surface reflectance under natural illumination. The system achieves accurate irradiance and reflectance measurements, with RMSE below 0.01 and SAM below 3.5 across the 400–900 nm spectral range. What are the implications of the main findings? This study demonstrates a practical and ground-independent approach for quantitative hyperspectral reflectance acquisition. The findings offer practical guidance for UAV flight planning and radiometric system design in quantitative field-scale remote sensing. Unmanned aerial vehicles (UAVs) provide a flexible platform for surface reflectance measurement at spatial scales between ground observations and satellite remote sensing. This study develops a UAV-based spectroradiometric system for surface reflectance retrieval under natural illumination conditions using non-imaging hyperspectral sensors. The system integrates two stabilized spectroradiometers mounted on a UAV to simultaneously measure hemispherical downwelling irradiance and upwelling surface radiance at flight altitude, enabling reflectance retrieval through a radiance–irradiance ratio framework without relying on ground calibration targets or radiative transfer model inversion. Field experiments were conducted over agricultural plots, and the UAV-derived reflectance was quantitatively validated against ground-based dual-spectroradiometer measurements. The results demonstrate stable irradiance measurements during flight and good agreement between UAV- and ground-derived reflectance across the 400–900 nm spectral range. The proposed system offers a practical and reliable solution for hyperspectral reflectance retrieval using UAV platforms. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | Highlights: What are the main findings? A UAV-based dual-spectroradiometer system is developed for retrieving hyperspectral surface reflectance under natural illumination. The system achieves accurate irradiance and reflectance measurements, with RMSE below 0.01 and SAM below 3.5 across the 400–900 nm spectral range. What are the implications of the main findings? This study demonstrates a practical and ground-independent approach for quantitative hyperspectral reflectance acquisition. The findings offer practical guidance for UAV flight planning and radiometric system design in quantitative field-scale remote sensing. Unmanned aerial vehicles (UAVs) provide a flexible platform for surface reflectance measurement at spatial scales between ground observations and satellite remote sensing. This study develops a UAV-based spectroradiometric system for surface reflectance retrieval under natural illumination conditions using non-imaging hyperspectral sensors. The system integrates two stabilized spectroradiometers mounted on a UAV to simultaneously measure hemispherical downwelling irradiance and upwelling surface radiance at flight altitude, enabling reflectance retrieval through a radiance–irradiance ratio framework without relying on ground calibration targets or radiative transfer model inversion. Field experiments were conducted over agricultural plots, and the UAV-derived reflectance was quantitatively validated against ground-based dual-spectroradiometer measurements. The results demonstrate stable irradiance measurements during flight and good agreement between UAV- and ground-derived reflectance across the 400–900 nm spectral range. The proposed system offers a practical and reliable solution for hyperspectral reflectance retrieval using UAV platforms. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 20724292 |
| DOI: | 10.3390/rs18071093 |
