Illumination geometry and flying height influence surface reflectance and NDVI derived from multispectral UAS imagery

Stow, Daniel; Nichol, Caroline J.; Wade, Tom; Assmann, Jakob J.; Simpson, Gillian; Helfter, Carole. 2019 Illumination geometry and flying height influence surface reflectance and NDVI derived from multispectral UAS imagery. Drones, 3 (3), 55. 28, pp.

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Small unmanned aerial systems (UAS) have allowed the mapping of vegetation at very high spatial resolution, but a lack of standardisation has led to uncertainties regarding data quality. For reflectance measurements and vegetation indices (Vis) to be comparable between sites and over time, careful flight planning and robust radiometric calibration procedures are required. Two sources of uncertainty that have received little attention until recently are illumination geometry and the effect of flying height. This study developed methods to quantify and visualise these effects in imagery from the Parrot Sequoia, a UAV-mounted multispectral sensor. Change in illumination geometry over one day (14 May 2018) had visible effects on both individual images and orthomosaics. Average near-infrared (NIR) reflectance and NDVI in regions of interest were slightly lower around solar noon, and the contrast between shadowed and well-illuminated areas increased over the day in all multispectral bands. Per-pixel differences in NDVI maps were spatially variable, and much larger than average differences in some areas. Results relating to flying height were inconclusive, though small increases in NIR reflectance with height were observed over a black sailcloth tarp. These results underline the need to consider illumination geometry when carrying out UAS vegetation surveys

Item Type: Publication - Article
Digital Object Identifier (DOI):
UKCEH and CEH Sections/Science Areas: Atmospheric Chemistry and Effects (Science Area 2017-)
ISSN: 2504-446X
Additional Information. Not used in RCUK Gateway to Research.: Open Access paper - full text available via Official URL link.
Additional Keywords: remote sensing, data quality, multispectral imagery, NDVI, illumination geometry, anisotropic reflectance, radiometric calibration, UAV, Parrot Sequoia
NORA Subject Terms: Electronics, Engineering and Technology
Date made live: 15 Jul 2019 16:17 +0 (UTC)

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