UAV-hyperspectral imaging of spectrally complex environments

Article

Banerjee, Bikram Pratap, Raval, Simit and Cullen, P. J.. 2020. "UAV-hyperspectral imaging of spectrally complex environments." International Journal of Remote Sensing. 41 (11), pp. 4136-4159. https://doi.org/10.1080/01431161.2020.1714771
Article Title

UAV-hyperspectral imaging of spectrally complex environments

ERA Journal ID4642
Article CategoryArticle
AuthorsBanerjee, Bikram Pratap, Raval, Simit and Cullen, P. J.
Journal TitleInternational Journal of Remote Sensing
Journal Citation41 (11), pp. 4136-4159
Number of Pages24
Year2020
PublisherTaylor & Francis
Place of PublicationUnited Kingdom
ISSN0143-1161
1366-5901
Digital Object Identifier (DOI)https://doi.org/10.1080/01431161.2020.1714771
Web Address (URL)https://www.tandfonline.com/doi/full/10.1080/01431161.2020.1714771
AbstractUnmanned aerial vehicle (UAV) based hyperspectral imaging is a relatively new remote sensing technology. Near-earth spectroscopy from UAV-hyperspectral systems addresses the limitations of resolution, signal-to-noise ratio, and cloud cover from traditional satellite or airborne platforms. The technology is increasingly being used to obtain fast and accurate information. Recently developed methods for data acquisition and pre-processing have mostly focused on agriculture and forestry applications. This paper addresses the challenges in the methods of sensor calibration, data acquisition, radiometric correction for illumination variation, mosaicking and geometric correction for UAV-hyperspectral imaging of highly heterogeneous environments, such as swamps. A pre-processing workflow was developed to address the specific issues of monitoring the heterogenous distribution of the swamp vegetation and assess its condition. The workflow was used to produce reflectance products and vegetation indices. The developed framework would be useful in remote environments where satellite or airborne hyperspectral observations are limited due to the presence of spectrally complex environment.
Keywordsnorthern peatland complex; Antennas; Data acquisition; Forestry; Remote sensing; Signal to noise ratio
ANZSRC Field of Research 2020401304. Photogrammetry and remote sensing
401399. Geomatic engineering not elsewhere classified
401301. Cartography and digital mapping
410402. Environmental assessment and monitoring
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Byline AffiliationsUniversity of New South Wales
Agriculture Victoria
University of Sydney
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