Quality control assessment of the Mission Airborne Carbon 13 (MAC-13) hyperspectral imagery from Costa Rica

From National Research Council Canada

DOIResolve DOI: https://doi.org/10.1080/07038992.2016.1160771
AuthorSearch for: ; Search for: ; Search for: 1; Search for: 1
Name affiliation
  1. National Research Council Canada. Aerospace
FormatText
TypeArticle
Journal titleCanadian Journal of Remote Sensing
ISSN0703-8992
1712-7971
Volume42
Issue2
Pages85–105
Abstract
A data quality assessment of airborne hyperspectral imagery (HSI) from Mission Airborne Carbon 2013 (MAC13) is presented. Because data quality is fundamentally important for modeling landscape biophysical characteristics from HSI, this article presents an assessment related to spectral alignment, spectroradiometric calibration, and geocorrection for 2,700 km² of imagery acquired with the CASI-1500 and SASI-644 systems (375 nm – 2523 nm, 2.5 m resampled pixel size). MODIS, in-situ and image-based estimations of aerosol optical depth are compared for calculations of visibility for atmospheric correction. Information content (dimensionality) across the 5 ecosystems and 2 developed areas are also compared to illustrate the benefit of the extensive spectral resolution of the data. New approaches to the offset corrections of the imagery improved the accuracy of the calibrated results (radiance and reflectance). Assessment of visibility values applied to the atmospheric correction adduced that apparent reflectance computed using in-scene modeled visibility produced the most similar results to ground spectra. Dimensionality analysis revealed increased information content for all ecosystems when both sensors were considered. While not every HSI issue can be completely compensated for, an appreciation of common artifacts allows users to make more informed decision about their impact on planned analysis.
Publication date
PublisherTaylor & Francis
LanguageEnglish
Peer reviewedYes
NPARC number23000372
Export citationExport as RIS
Report a correctionReport a correction
Record identifier6479df10-3a57-405b-806a-10c8a5581358
Record created2016-07-11
Record modified2020-03-16
Report a problem on this page
Date modified: