Validation of Airborne Hyperspectral Imagery from Laboratory Panel Characterization to Image Quality Assessment: Implications for an Arctic Peatland Surrogate Simulation Site
Calibration/validation (cal/val) practices applied to airborne hyperspectral imagery of Arctic regions were developed and assessed as an integrated up-scaling methodology that considers: (i) calibration of a laboratory reflectance reference panel; (ii) cross-calibration of multiple field panels; (ii...
Published in: | Canadian Journal of Remote Sensing |
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2019
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Online Access: | https://doi.org/10.1080/07038992.2019.1650334 https://doaj.org/article/54c4f467e79f4f6bb6cd48b7286a3af4 |
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ftdoajarticles:oai:doaj.org/article:54c4f467e79f4f6bb6cd48b7286a3af4 2024-09-09T19:21:57+00:00 Validation of Airborne Hyperspectral Imagery from Laboratory Panel Characterization to Image Quality Assessment: Implications for an Arctic Peatland Surrogate Simulation Site Raymond J. Soffer Gabriela Ifimov Juan Pablo Arroyo-Mora Margaret Kalacska 2019-07-01T00:00:00Z https://doi.org/10.1080/07038992.2019.1650334 https://doaj.org/article/54c4f467e79f4f6bb6cd48b7286a3af4 EN FR eng fre Taylor & Francis Group http://dx.doi.org/10.1080/07038992.2019.1650334 https://doaj.org/toc/1712-7971 1712-7971 doi:10.1080/07038992.2019.1650334 https://doaj.org/article/54c4f467e79f4f6bb6cd48b7286a3af4 Canadian Journal of Remote Sensing, Vol 45, Iss 3-4, Pp 476-508 (2019) Environmental sciences GE1-350 Technology T article 2019 ftdoajarticles https://doi.org/10.1080/07038992.2019.1650334 2024-08-05T17:49:16Z Calibration/validation (cal/val) practices applied to airborne hyperspectral imagery of Arctic regions were developed and assessed as an integrated up-scaling methodology that considers: (i) calibration of a laboratory reflectance reference panel; (ii) cross-calibration of multiple field panels; (iii) quality assurance checks of field spectroscopy data; and, (iv) comparison of results with airborne hyperspectral imagery. Overall errors of up to 27% were reduced to <4% using these methods. Calibration results of the laboratory panel provided an improvement of 1% in the visible, near and lower shortwave infrared regions with respect to best estimates achievable using manufacturer supplied calibration data. This improvement was transferred to field panels using an in-house cross-calibration approach that also allowed panels to be assessed for degradation that occurs during field deployment. Comparison of the field spectroscopy results of four cal/val targets with hyperspectral imagery following atmospheric correction identified discrepancies from 1% to 4% (absolute) between 450 nm and 1050 nm, with errors as high as 27% at lower wavelengths. Application of scene-based refinements using two cal/val targets reduced this error across the entire spectral range (<4%) with the most significant improvements below 500 nm. These methods also have important implications to satellite image analysis, especially in Arctic and northern regions. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Canadian Journal of Remote Sensing 45 3-4 476 508 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English French |
topic |
Environmental sciences GE1-350 Technology T |
spellingShingle |
Environmental sciences GE1-350 Technology T Raymond J. Soffer Gabriela Ifimov Juan Pablo Arroyo-Mora Margaret Kalacska Validation of Airborne Hyperspectral Imagery from Laboratory Panel Characterization to Image Quality Assessment: Implications for an Arctic Peatland Surrogate Simulation Site |
topic_facet |
Environmental sciences GE1-350 Technology T |
description |
Calibration/validation (cal/val) practices applied to airborne hyperspectral imagery of Arctic regions were developed and assessed as an integrated up-scaling methodology that considers: (i) calibration of a laboratory reflectance reference panel; (ii) cross-calibration of multiple field panels; (iii) quality assurance checks of field spectroscopy data; and, (iv) comparison of results with airborne hyperspectral imagery. Overall errors of up to 27% were reduced to <4% using these methods. Calibration results of the laboratory panel provided an improvement of 1% in the visible, near and lower shortwave infrared regions with respect to best estimates achievable using manufacturer supplied calibration data. This improvement was transferred to field panels using an in-house cross-calibration approach that also allowed panels to be assessed for degradation that occurs during field deployment. Comparison of the field spectroscopy results of four cal/val targets with hyperspectral imagery following atmospheric correction identified discrepancies from 1% to 4% (absolute) between 450 nm and 1050 nm, with errors as high as 27% at lower wavelengths. Application of scene-based refinements using two cal/val targets reduced this error across the entire spectral range (<4%) with the most significant improvements below 500 nm. These methods also have important implications to satellite image analysis, especially in Arctic and northern regions. |
format |
Article in Journal/Newspaper |
author |
Raymond J. Soffer Gabriela Ifimov Juan Pablo Arroyo-Mora Margaret Kalacska |
author_facet |
Raymond J. Soffer Gabriela Ifimov Juan Pablo Arroyo-Mora Margaret Kalacska |
author_sort |
Raymond J. Soffer |
title |
Validation of Airborne Hyperspectral Imagery from Laboratory Panel Characterization to Image Quality Assessment: Implications for an Arctic Peatland Surrogate Simulation Site |
title_short |
Validation of Airborne Hyperspectral Imagery from Laboratory Panel Characterization to Image Quality Assessment: Implications for an Arctic Peatland Surrogate Simulation Site |
title_full |
Validation of Airborne Hyperspectral Imagery from Laboratory Panel Characterization to Image Quality Assessment: Implications for an Arctic Peatland Surrogate Simulation Site |
title_fullStr |
Validation of Airborne Hyperspectral Imagery from Laboratory Panel Characterization to Image Quality Assessment: Implications for an Arctic Peatland Surrogate Simulation Site |
title_full_unstemmed |
Validation of Airborne Hyperspectral Imagery from Laboratory Panel Characterization to Image Quality Assessment: Implications for an Arctic Peatland Surrogate Simulation Site |
title_sort |
validation of airborne hyperspectral imagery from laboratory panel characterization to image quality assessment: implications for an arctic peatland surrogate simulation site |
publisher |
Taylor & Francis Group |
publishDate |
2019 |
url |
https://doi.org/10.1080/07038992.2019.1650334 https://doaj.org/article/54c4f467e79f4f6bb6cd48b7286a3af4 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Canadian Journal of Remote Sensing, Vol 45, Iss 3-4, Pp 476-508 (2019) |
op_relation |
http://dx.doi.org/10.1080/07038992.2019.1650334 https://doaj.org/toc/1712-7971 1712-7971 doi:10.1080/07038992.2019.1650334 https://doaj.org/article/54c4f467e79f4f6bb6cd48b7286a3af4 |
op_doi |
https://doi.org/10.1080/07038992.2019.1650334 |
container_title |
Canadian Journal of Remote Sensing |
container_volume |
45 |
container_issue |
3-4 |
container_start_page |
476 |
op_container_end_page |
508 |
_version_ |
1809762232849924096 |