An Evaluation of Reflectance Calibration Methods for UAV Spectral Imagery

Edwards, Jarrod; Anderson, John; Shuart, William; Woolard, Jason

doi:10.14358/pers.85.3.221

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

An Evaluation of Reflectance Calibration Methods for UAV Spectral Imagery

2019
By Edwards, Jarrod ; Anderson, John ; Shuart, William ; ...
Source: Photogrammetric Engineering & Remote Sensing, 85(3), 221-230

[PDF-2.70 MB]

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Journal Title:

Photogrammetric Engineering & Remote Sensing
Personal Author:

Edwards, Jarrod ; Anderson, John ; Shuart, William ; Woolard, Jason

Edwards, Jarrod ; Anderson, John ; Shuart, William ; Woolard, Jason Less -
NOAA Program & Office:

NOS (National Ocean Service) ; NGS (Office of National Geodetic Survey)

NOS (National Ocean Service) ; NGS (Office of National Geodetic Survey) Less -
Description:

Spectral imagery using micro-unmanned aerial vehicles is rapidly advancing. This study compared reflectance calibration methods for imagery acquired using the Parrot Sequoia imager, a commercial multispectral sensor package. For the study, two orthomosaics were calibrated using 1) a manufacturer-suggested AIRINOV standard correction using PIX4D software and 2) the Empirical Line Calibration (ELC) method using ground radiometric data on specific in-scene targets. Both scenes were analyzed for target spectral agreement by ground radiometric survey. Regression analysis demonstrated more favorable target correlation for the ELC imagery than the AIRINOV-calibrated imagery, with Root Mean Square Error (RMSE) analysis supporting these results. Finally, classification maps were produced between the data sets. Error analysis resulted in an overall accuracy of 24% for the AIRINOV map compared to ELC-based truth data, with a considerable number of pixels associated with brighter targets unclassified. These results demonstrate the need for standardized calibration procedures in the spectral correction of small-format remote sensor data.
Keywords:

[+]

Calibration Radiometry Remote Sensing
Source:

Photogrammetric Engineering & Remote Sensing, 85(3), 221-230
DOI:

https://doi.org/10.14358/pers.85.3.221
ISSN:

0099-1112
Publisher:

American Society for Photogrammetry and Remote Sensing
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by/4.0/
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CC BY
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urn:sha256:89253cf1e0571d15783336f281a66490467ea6eb3b1a19a99508a134f91a2e83
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/view/noaa/50781/noaa_50781_DS1.pdf
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An Evaluation of Reflectance Calibration Methods for UAV Spectral Imagery

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