Easily Implemented Methods of Radiometric Corrections for Hyperspectral–UAV—Application to Guianese Equatorial Mudbanks Colonized by Pioneer Mangroves
Hyper-DRELIO (Hyperspectral DRone for Environmental and LIttoral Observations) is a custom, mini-UAV (unmanned aerial vehicle) platform (<20 kg), equipped with a light push broom hyperspectral sensor combined with a navigation module measuring position and orientation. Because of the particularit...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/23/4792 |
| _version_ | 1797507292378169344 |
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| author | Marion Jaud Guillaume Sicot Guillaume Brunier Emma Michaud Nicolas Le Dantec Jérôme Ammann Philippe Grandjean Patrick Launeau Gérard Thouzeau Jules Fleury Christophe Delacourt |
| author_facet | Marion Jaud Guillaume Sicot Guillaume Brunier Emma Michaud Nicolas Le Dantec Jérôme Ammann Philippe Grandjean Patrick Launeau Gérard Thouzeau Jules Fleury Christophe Delacourt |
| author_sort | Marion Jaud |
| collection | DOAJ |
| description | Hyper-DRELIO (Hyperspectral DRone for Environmental and LIttoral Observations) is a custom, mini-UAV (unmanned aerial vehicle) platform (<20 kg), equipped with a light push broom hyperspectral sensor combined with a navigation module measuring position and orientation. Because of the particularities of UAV surveys (low flight altitude, small spatial scale, and high resolution), dedicated pre-processing methods have to be developed when reconstructing hyperspectral imagery. This article presents light, easy-implementation, in situ methods, using only two Spectralon<sup>®</sup> and a field spectrometer, allowing performance of an initial calibration of the sensor in order to correct “vignetting effects” and a field standardization to convert digital numbers (DN) collected by the hyperspectral camera to reflectance, taking into account the time-varying illumination conditions. Radiometric corrections are applied to a subset of a dataset collected above mudflats colonized by pioneer mangroves in French Guiana. The efficiency of the radiometric corrections is assessed by comparing spectra from Hyper-DRELIO imagery to in situ spectrometer measurements above the intertidal benthic biofilm and mangroves. The shapes of the spectra were consistent, and the spectral angle mapper (SAM) distance was 0.039 above the benthic biofilm and 0.159 above the mangroves. These preliminary results provide new perspectives for quantifying and mapping the benthic biofilm and mangroves at the scale of the Guianese intertidal mudbanks system, given their importance in the coastal food webs, biogeochemical cycles, and the sediment stabilization. |
| first_indexed | 2024-03-10T04:46:29Z |
| format | Article |
| id | doaj.art-7c712eb3925d4bff9691202753b0984e |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T04:46:29Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-7c712eb3925d4bff9691202753b0984e2023-11-23T02:56:26ZengMDPI AGRemote Sensing2072-42922021-11-011323479210.3390/rs13234792Easily Implemented Methods of Radiometric Corrections for Hyperspectral–UAV—Application to Guianese Equatorial Mudbanks Colonized by Pioneer MangrovesMarion Jaud0Guillaume Sicot1Guillaume Brunier2Emma Michaud3Nicolas Le Dantec4Jérôme Ammann5Philippe Grandjean6Patrick Launeau7Gérard Thouzeau8Jules Fleury9Christophe Delacourt10IUEM-UMS 3113, CNRS, University Brest, IRD, Rue Dumont D’Urville, F-29280 Plouzané, FranceENSTA Bretagne, M3 Team-Lab-STICC—UMR CNRS 6285, 2 rue François Verny, F-29200 Brest, FranceCNRS, University Brest, IRD, Ifremer, LEMAR, F-29280 Plouzané, FranceCNRS, University Brest, IRD, Ifremer, LEMAR, F-29280 Plouzané, FranceIUEM-UMS 3113, CNRS, University Brest, IRD, Rue Dumont D’Urville, F-29280 Plouzané, FranceLaboratoire Géosciences Océans—UMR 6538, CNRS, University Brest, Rue Dumont D’Urville, F-29280 Plouzané, FranceLaboratoire de Géologie de Lyon: Terre, Planètes, Environnement-UMR 5276, University Lyon, Université Claude Bernard Lyon 1, ENS Lyon, CNRS, F-69622 Villeurbanne, FranceLaboratoire de Planétologie et Géodynamique—UMR 6112, University Nantes, 2 Chemin de la Houssinière, F-44300 Nantes, FranceCNRS, University Brest, IRD, Ifremer, LEMAR, F-29280 Plouzané, FranceCEREGE—UMR 7330, University Aix Marseille, CNRS, IRD, INRA, Collège de France, F-13545 Aix-en-Provence, FranceLaboratoire Géosciences Océans—UMR 6538, CNRS, University Brest, Rue Dumont D’Urville, F-29280 Plouzané, FranceHyper-DRELIO (Hyperspectral DRone for Environmental and LIttoral Observations) is a custom, mini-UAV (unmanned aerial vehicle) platform (<20 kg), equipped with a light push broom hyperspectral sensor combined with a navigation module measuring position and orientation. Because of the particularities of UAV surveys (low flight altitude, small spatial scale, and high resolution), dedicated pre-processing methods have to be developed when reconstructing hyperspectral imagery. This article presents light, easy-implementation, in situ methods, using only two Spectralon<sup>®</sup> and a field spectrometer, allowing performance of an initial calibration of the sensor in order to correct “vignetting effects” and a field standardization to convert digital numbers (DN) collected by the hyperspectral camera to reflectance, taking into account the time-varying illumination conditions. Radiometric corrections are applied to a subset of a dataset collected above mudflats colonized by pioneer mangroves in French Guiana. The efficiency of the radiometric corrections is assessed by comparing spectra from Hyper-DRELIO imagery to in situ spectrometer measurements above the intertidal benthic biofilm and mangroves. The shapes of the spectra were consistent, and the spectral angle mapper (SAM) distance was 0.039 above the benthic biofilm and 0.159 above the mangroves. These preliminary results provide new perspectives for quantifying and mapping the benthic biofilm and mangroves at the scale of the Guianese intertidal mudbanks system, given their importance in the coastal food webs, biogeochemical cycles, and the sediment stabilization.https://www.mdpi.com/2072-4292/13/23/4792dronehyperspectral imagingradiometric calibrationreflectancepioneer mangrovesintertidal sediments |
| spellingShingle | Marion Jaud Guillaume Sicot Guillaume Brunier Emma Michaud Nicolas Le Dantec Jérôme Ammann Philippe Grandjean Patrick Launeau Gérard Thouzeau Jules Fleury Christophe Delacourt Easily Implemented Methods of Radiometric Corrections for Hyperspectral–UAV—Application to Guianese Equatorial Mudbanks Colonized by Pioneer Mangroves Remote Sensing drone hyperspectral imaging radiometric calibration reflectance pioneer mangroves intertidal sediments |
| title | Easily Implemented Methods of Radiometric Corrections for Hyperspectral–UAV—Application to Guianese Equatorial Mudbanks Colonized by Pioneer Mangroves |
| title_full | Easily Implemented Methods of Radiometric Corrections for Hyperspectral–UAV—Application to Guianese Equatorial Mudbanks Colonized by Pioneer Mangroves |
| title_fullStr | Easily Implemented Methods of Radiometric Corrections for Hyperspectral–UAV—Application to Guianese Equatorial Mudbanks Colonized by Pioneer Mangroves |
| title_full_unstemmed | Easily Implemented Methods of Radiometric Corrections for Hyperspectral–UAV—Application to Guianese Equatorial Mudbanks Colonized by Pioneer Mangroves |
| title_short | Easily Implemented Methods of Radiometric Corrections for Hyperspectral–UAV—Application to Guianese Equatorial Mudbanks Colonized by Pioneer Mangroves |
| title_sort | easily implemented methods of radiometric corrections for hyperspectral uav application to guianese equatorial mudbanks colonized by pioneer mangroves |
| topic | drone hyperspectral imaging radiometric calibration reflectance pioneer mangroves intertidal sediments |
| url | https://www.mdpi.com/2072-4292/13/23/4792 |
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