DocumentCode
743580
Title
Atmospheric Correction of AISA Measurements Over the Florida Keys Optically Shallow Waters: Challenges in Radiometric Calibration and Aerosol Selection
Author
Zhang, Minwei ; Hu, Chuanmin ; English, David ; Carlson, Paul ; Muller-Karger, Frank E. ; Toro-Farmer, Gerardo ; Herwitz, Stanley R.
Author_Institution
, University of South Florida, St. Petersburg, FL, USA
Volume
8
Issue
8
fYear
2015
Firstpage
4189
Lastpage
4196
Abstract
An Airborne Imaging Spectrometer for Applications (AISA) hyperspectral imager was deployed on a manned aircraft flown at 1305-m altitude to collect data over optically shallow waters in the Florida Keys with the ultimate goal of mapping water quality and benthic habitats. As a first step, we developed a practical atmospheric correction (AC) approach to derive surface remote-sensing reflectance (
) from AISA measurements using radiative transfer simulations and constraints obtained from field spectral
measurements. Unlike previously published method, the AC approach removes the surface Fresnel reflection and accounts for aircraft altitude and nonzero near-infrared (NIR) reflectance through iteration over the pre-established look-up tables (LUTs) based on MODTRAN calculations. Simulations and comparison with concurrent in situ
measurements show the feasibility of the approach in deriving surface
with acceptable uncertainties. The possibility of errors in the radiometric calibration of AISA is demonstrated, although a definitive assessment cannot be made due to lack of enough concurrent in situ measurements. The need for noise reduction and the difficulty in carrying out a vicarious calibration are also discussed to help advance the design of future AISA missions.
Keywords
Aerosols; Atmospheric measurements; Atmospheric modeling; Calibration; Oceans; Sea measurements; Table lookup; Airborne Imaging Spectrometer for Applications (AISA); MODTRAN; airborne remote sensing; atmospheric correction (AC); noise reduction; ocean color; vicarious calibration;
fLanguage
English
Journal_Title
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher
ieee
ISSN
1939-1404
Type
jour
DOI
10.1109/JSTARS.2015.2437326
Filename
7120080
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