Estimation of chlorophyll-a concentration in turbid productive waters using airborne hyperspectral data

被引：135
作者：
Moses, Wesley J. [1 ,2 ]
Gitelson, Anatoly A. [1 ,2 ]
Perk, Richard L. [1 ,2 ]
Gurlin, Daniela [1 ,2 ]
Rundquist, Donald C. [1 ,2 ]
Leavitt, Bryan C. [1 ,2 ]
Barrow, Tadd M. [2 ]
Brakhage, Paul [3 ]
机构：
[1] Univ Nebraska, CALMIT, Lincoln, NE 68588 USA
[2] Univ Nebraska, Sch Nat Resources, Lincoln, NE USA
[3] Nebraska Dept Environm Qual, Lincoln, NE USA
来源：
WATER RESEARCH | 2012年 / 46卷 / 04期
关键词：
Remote sensing; Near infra-red; Chlorophyll-a; Atmospheric correction; QUAC; FLAASH; AISA; BIOOPTICAL PARAMETER VARIABILITY; REMOTE ESTIMATION; ATMOSPHERIC CORRECTION; ALGAL-CHLOROPHYLL; RADIANCE SPECTRA; REFLECTANCE; MODIS; ALGORITHMS; RED; QUALITY;
D O I：
10.1016/j.watres.2011.11.068
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Algorithms based on red and near infra-red (NIR) reflectances measured using field spectrometers have been previously shown to yield accurate estimates of chlorophyll-a concentration in turbid productive waters, irrespective of variations in the bio-optical characteristics of water. The objective of this study was to investigate the performance of NIR-red models when applied to multi-temporal airborne reflectance data acquired by the hyperspectral sensor, Airborne Imaging Spectrometer for Applications (AISA), with non-uniform atmospheric effects across the dates of data acquisition. The results demonstrated the capability of the NIR-red models to capture the spatial distribution of chlorophyll-a in surface waters without the need for atmospheric correction. However, the variable atmospheric effects did affect the accuracy of chlorophyll-a retrieval. Two atmospheric correction procedures, namely, Fast Line-of-sight Atmospheric Adjustment of Spectral Hypercubes (FLAASH) and Quick Atmospheric Correction (QUAC), were applied to AISA data and their results were compared. QUAC produced a robust atmospheric correction, which led to NIR-red algorithms that were able to accurately estimate chlorophyll-a concentration, with a root mean square error of 5.54 mg m(-3) for chlorophyll-a concentrations in the range 2.27-81.17 mg m(-3). (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码：993 / 1004
页数：12
相关论文
共 52 条
[1]   Atmospheric correction for short-wave spectral imagery based on MODTRAN4 [J].
Adler-Golden, SM ;
Matthew, MW ;
Bernstein, LS ;
Levine, RY ;
Berk, A ;
Richtsmeier, SC ;
Acharya, PK ;
Anderson, GP ;
Felde, G ;
Gardner, J ;
Hoke, M ;
Jeong, LS ;
Pukall, B ;
Ratkowski, A ;
Burke, HH .
IMAGING SPECTROMETRY V, 1999, 3753 :61-69
[2]  
[Anonymous], 2008, FLAASH MOD US GUID F
[3]  
Austin R.W., 1976, ML76004T SCRIPPS I O
[4]  
Baird R.B., 2005, Standard methods for the examination of water and wastewater
[5]  
Berk A., 2000, 017313010 MA AIR FOR
[6]   Improved reflectance retrieval from hyper- and multispectral imagery without prior scene or sensor information [J].
Bernstein, L. S. ;
Adler-Golden, S. M. ;
Sundberg, R. L. ;
Ratkowski, A. J. .
REMOTE SENSING OF CLOUDS AND THE ATMOSPHERE XI, 2006, 6362
[7]  
Bernstein LS, 2005, INT GEOSCI REMOTE SE, P3549
[8]   Validation of the Quick Atmospheric Correction (QUAC) algorithm for VNIR-SWIR multi-and hyperspectral imagery [J].
Bernstein, LS ;
Adler-Golden, SM ;
Sundberg, RL ;
Levine, RY ;
Perkins, TC ;
Berk, A ;
Ratkowski, AJ ;
Felde, G ;
Hoke, ML .
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, 2005, 5806 :668-678
[9]   Performance of the MODIS semi-analytical ocean color algorithm for chlorophyll-a [J].
Carder, KL ;
Chen, FR ;
Cannizzaro, JP ;
Campbell, JW ;
Mitchell, BG .
CLIMATE CHANGE PROCESSES IN THE STRATOSPHERE, EARTH-ATMOSPHERE-OCEAN SYSTEMS, AND OCEANOGRAPHIC PROCESSES FROM SATELLITE DATA, 2004, 33 (07) :1152-1159
[10]   Towards a unified approach for remote estimation of chlorophyll-a in both terrestrial vegetation and turbid productive waters [J].
Dall'Olmo, G ;
Gitelson, AA ;
Rundquist, DC .
GEOPHYSICAL RESEARCH LETTERS, 2003, 30 (18) :HLS1-1
123456