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HyperUAS - imaging spectroscopy from a multirotor unmanned aircraft system

Citation

Lucieer, A and Malenovsky, Z and Veness, T and Wallace, L, HyperUAS - imaging spectroscopy from a multirotor unmanned aircraft system, Journal of Field Robotics, 31, (4) pp. 571-590. ISSN 1556-4959 (2014) [Refereed Article]

Copyright Statement

Copyright 2014 Wiley Periodicals

DOI: doi:10.1002/rob.21508

Abstract

One of the key advantages of a low-flying unmanned aircraft system (UAS) is its ability to acquire digital images at an ultrahigh spatial resolution of a few centimeters. Remote sensing of quantitative biochemical and biophysical characteristics of small-sized spatially fragmented vegetation canopies requires, however, not only high spatial, but also high spectral (i.e., hyperspectral) resolution. In this paper, we describe the design, development, airborne operations, calibration, processing, and interpretation of image data collected with a new hyperspectral unmanned aircraft system (HyperUAS). HyperUAS is a remotely controlled multirotor prototype carrying onboard a lightweight pushbroom spectroradiometer coupled with a dual frequency GPS and an inertial movement unit. The prototype was built to remotely acquire imaging spectroscopy data of 324 spectral bands (162 bands in a spectrally binned mode) with bandwidths between 4 and 5 nm at an ultrahigh spatial resolution of 25 cm. Three field airborne experiments, conducted over agricultural crops and over natural ecosystems of Antarctic mosses, proved operability of the system in standard field conditions, but also in a remote and harsh, low-temperature environment of East Antarctica. Experimental results demonstrate that HyperUAS is capable of delivering georeferenced maps of quantitative biochemical and biophysical variables of vegetation and of actual vegetation health state at an unprecedented spatial resolution of 5 cm.

Item Details

Item Type:Refereed Article
Keywords:Unmanned Aircraft Systems (UAS), hyperspectral
Research Division:Engineering
Research Group:Geomatic Engineering
Research Field:Photogrammetry and Remote Sensing
Objective Division:Environment
Objective Group:Ecosystem Assessment and Management
Objective Field:Ecosystem Assessment and Management of Antarctic and Sub-Antarctic Environments
Author:Lucieer, A (Associate Professor Arko Lucieer)
Author:Malenovsky, Z (Dr Zbynek Malenovsky)
Author:Veness, T (Mr Tony Veness)
Author:Wallace, L (Dr Luke Wallace)
ID Code:93112
Year Published:2014
Funding Support:Australian Research Council (DP110101714)
Web of Science® Times Cited:47
Deposited By:Geography and Environmental Studies
Deposited On:2014-07-14
Last Modified:2017-11-06
Downloads:0

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