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Sökning: id:"swepub:oai:lup.lub.lu.se:d24c6778-ca0d-4a8c-bd9c-f613d2b04c28" > Hyperspectral refle...

Hyperspectral reflectance measurements from UAS under intermittent clouds: Correcting irradiance measurements for sensor tilt

Köppl, Christian Josef (författare)
Technical University of Denmark
Malureanu, Radu (författare)
Technical University of Denmark
Dam-Hansen, Carsten (författare)
Technical University of Denmark
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Wang, Sheng (författare)
Technical University of Denmark
Jin, Hongxiao (författare)
Lund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science,Technical University of Denmark
Barchiesi, Stefano (författare)
University of Florida
Serrano Sandí, Juan M. (författare)
The Organization for Tropical Studies (OTS)
Muñoz-Carpena, Rafael (författare)
University of Florida
Johnson, Mark (författare)
University of British Columbia
Durán-Quesada, Ana M. (författare)
University of Costa Rica
Bauer-Gottwein, Peter (författare)
Technical University of Denmark
McKnight, Ursula S. (författare)
Technical University of Denmark
Garcia, Monica (författare)
Technical University of Denmark
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 (creator_code:org_t)
Elsevier BV, 2021
2021
Engelska 15 s.
Ingår i: Remote Sensing of Environment. - : Elsevier BV. - 0034-4257. ; 267, s. 1-1
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • One great advantage of optical hyperspectral remote sensing from unmanned aerial systems (UAS) compared to satellite missions is the possibility to fly and collect data below clouds. The most typical scenario is flying below intermittent clouds and under turbulent conditions, which causes tilting of the platform. This study aims to advance hyperspectral imaging from UAS in most weather conditions by addressing two challenges: (i) the radiometric and spectral calibrations of miniaturized hyperspectral sensors; and (ii) tilting effects on measured downwelling irradiance. We developed a novel method to correct the downwelling irradiance data for tilting effects. It uses a hybrid approach of minimizing measured irradiance variations for constant irradiance periods and spectral unmixing, to calculate the spectral diffuse irradiance fraction for all irradiance measurements within a flight. It only requires the platform's attitude data and a standard incoming light sensor. We demonstrated the method at the Palo Verde National Park wetlands in Costa Rica, a highly biodiverse area. Our results showed that the downwelling irradiance correction method reduced systematic shifts caused by a change in flight direction of the UAS, by 87% and achieving a deviation of 2.78% relative to a on ground reference in terms of broadband irradiance. High frequency (< 3 s) irradiance variations caused by high-frequency tilting movements of the UAS were reduced by up to 71%. Our complete spectral and radiometric calibration and irradiance correction can significantly remove typical striped illumination artifacts in the surface reflectance-factor map product. The possibility of collecting precise hyperspectral reflectance-factor data from UAS under varying cloud cover makes it more operational for environmental monitoring or precision agriculture applications, being an important step in advancing hyperspectral imaging from UAS.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Naturresursteknik -- Fjärranalysteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Environmental Engineering -- Remote Sensing (hsv//eng)
NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Naturgeografi (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Physical Geography (hsv//eng)

Nyckelord

Downwelling irradiance
Unmanned Aerial Systems (UAS)
Hyperspectral remote sensing
Data correction
Sensor tilt
Calibration
Fluctuating light

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