气候变化领域集成服务门户(CCPortal): Assessing the impact of illumination on UAV pushbroom hyperspectral imagery collected under various cloud cover conditions

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DOI	10.1016/j.rse.2021.112396
	Assessing the impact of illumination on UAV pushbroom hyperspectral imagery collected under various cloud cover conditions
	Arroyo-Mora J.P.; Kalacska M.; Løke T.; Schläpfer D.; Coops N.C.; Lucanus O.; Leblanc G.
发表日期	2021
ISSN	00344257
卷号	258
英文摘要	The recent development of small form-factor (<6 kg), full range (400–2500 nm) pushbroom hyperspectral imaging systems (HSI) for unmanned aerial vehicles (UAV) poses a new range of opportunities for passive remote sensing applications. The flexible deployment of these UAV-HSI systems have the potential to expand the data acquisition window to acceptable (though non-ideal) atmospheric conditions. This is an important consideration for time-sensitive applications (e.g. phenology) in areas with persistent cloud cover. Since the majority of UAV studies have focused on applications with ideal illumination conditions (e.g. minimal or non-cloud cover), little is known to what extent UAV-HSI data are affected by changes in illumination conditions due to variable cloud cover. In this study, we acquired UAV pushbroom HSI (400–2500 nm) over three consecutive days with various illumination conditions (i.e. cloud cover), which were complemented with downwelling irradiance data to characterize illumination conditions and in-situ and laboratory reference panel measurements across a range of reflectivity (i.e. 2%, 10%, 18% and 50%) used to evaluate reflectance products. Using these data we address four fundamental aspects for UAV-HSI acquired under various conditions ranging from high (624.6 ± 16.63 W·m2) to low (2.5 ± 0.9 W·m2) direct irradiance: atmospheric compensation, signal-to-noise ratio (SNR), spectral vegetation indices and endmembers extraction. For instance, two atmospheric compensation methods were applied, a radiative transfer model suitable for high direct irradiance, and an Empirical Line Model (ELM) for diffuse irradiance conditions. SNR results for two distinctive vegetation classes (i.e. tree canopy vs herbaceous vegetation) reveal wavelength dependent attenuation by cloud cover, with higher SNR under high direct irradiance for canopy vegetation. Spectral vegetation index (SVIs) results revealed high variability and index dependent effects. For example, NDVI had significant differences (p < 0.05) across illumination conditions, while NDWI appeared insensitive at the canopy level. Finally, often neglected diffuse illumination conditions may be beneficial for revealing spectral features in vegetation that are obscured by the predominantly non-Lambertian reflectance encountered under high direct illumination. To our knowledge, our study is the first to use a full range pushbroom UAV sensor (400–2500 nm) for assessing illumination effects on the aforementioned variables. Our findings pave the way for understanding the advantages and limitations of ultra-high spatial resolution full range high fidelity UAV-HSI for ecological and other applications. © 2021
英文关键词	Atmospheric compensation; Drones; Garry oak; Hyperspectral; Signal to noise ratio; Spectral vegetation indices
语种	英语
scopus关键词	Antennas; Data acquisition; Drones; Forestry; Hyperspectral imaging; Radiative transfer; Reflection; Remote sensing; Signal to noise ratio; Spectroscopy; Aerial vehicle; Atmospheric compensation; Cloud cover; Garry oak; HyperSpectral; Hyperspectral imaging systems; Illumination conditions; Noise ratio; Signal to noise; Spectral vegetation indices; Vegetation; accuracy assessment; assessment method; cloud cover; NDVI; radiative transfer; remote sensing; satellite data; satellite imagery; signal-to-noise ratio; spatial resolution; vegetation type
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178882
作者单位	National Research Council of Canada, Flight Research Laboratory, 1920 Research Rd., Ottawa, ON, Canada; Applied Remote Sensing Laboratory (ARSL), Department of Geography, McGill University, Montreal, QC, Canada; Norsk Elektro Optikk AS, Prost Stabels vei 22, Skedsmokorset, 2019, Norway; ReSe Applications LLC, Langeggweg 3, Wil, CH-9500, Switzerland; Integrated Remote Sensing Studio (IRSS), Faculty of Forestry, University of British Columbia, 2424 Main Mall, Vancouver, BC, Canada
推荐引用方式 GB/T 7714	Arroyo-Mora J.P.,Kalacska M.,Løke T.,et al. Assessing the impact of illumination on UAV pushbroom hyperspectral imagery collected under various cloud cover conditions[J],2021,258.
APA	Arroyo-Mora J.P..,Kalacska M..,Løke T..,Schläpfer D..,Coops N.C..,...&Leblanc G..(2021).Assessing the impact of illumination on UAV pushbroom hyperspectral imagery collected under various cloud cover conditions.Remote Sensing of Environment,258.
MLA	Arroyo-Mora J.P.,et al."Assessing the impact of illumination on UAV pushbroom hyperspectral imagery collected under various cloud cover conditions".Remote Sensing of Environment 258(2021).