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利用机载可见红外成像光谱仪(AVIRIS)图像测量水色,以评估美国帕姆利科湾河口进行业务监测的潜力。

Measurement of water colour using AVIRIS imagery to assess the potential for an operational monitoring capability in the Pamlico Sound Estuary, USA.

作者信息

Ross S Lunetta, Joseph F Knight, Hans W Paerl, John J Streicher, Benjamin L Peierls, Tom Gallo, John G Lyon, Thomas H Mace, Christopher P Buzzelli

机构信息

U.S. Environmental Protection Agency, National Exposure Research Laboratory, Research Triangle Park, NC 27711, USA.

University of North Carolina at Chapel Hill, Institute of Marine Sciences, Morehead City, NC 28557, USA.

出版信息

Int J Remote Sens. 2009 Jul;30(13-14):3291-3314. doi: 10.1080/01431160802552801. Epub 2009 Jul 22.

DOI:10.1080/01431160802552801
PMID:25937680
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4373146/
Abstract

The monitoring of water colour parameters can provide an important diagnostic tool for the assessment of aquatic ecosystem condition. Remote sensing has long been used to effectively monitor chlorophyll concentrations in open ocean systems; however, operational monitoring in coastal and estuarine areas has been limited because of the inherent complexities of coastal systems, and the coarse spectral and spatial resolutions of available satellite systems. Data were collected using the National Aeronautics and Space Administration (NASA) Advanced Visible-Infrared Imaging Spectrometer (AVIRIS) flown at an altitude of approximately 20000 m to provide hyperspectral imagery and simulate both MEdium Resolution Imaging Spectrometer (MERIS) and Moderate Resolution Imaging Spectrometer (MODIS) data. AVIRIS data were atmospherically corrected using a radiative transfer modelling approach and analysed using band ratio and linear regression models. Regression analysis was performed with simultaneous field measurements data in the Neuse River Estuary (NRE) and Pamlico Sound on 15 May 2002. Chlorophyll (Chl ) concentrations were optimally estimated using AVIRIS bands (9.5 nm) centred at 673.6 and 692.7 nm, resulting in a coefficient of determination ( ) of 0.98. Concentrations of Chromophoric Dissolved Organic Matter (CDOM), Total Suspended Solids (TSS) and Fixed Suspended Solids (FSS) were also estimated, resulting in coefficients of determination of 0.59 and 0.64, respectively. Ratios of AVIRIS bands centred at or near those corresponding to the MERIS and MODIS sensors indicated that relatively good satellite-based estimates could potentially be derived for water colour constituents at a spatial resolution of 300 and 500 m, respectively.

摘要

对水色参数的监测可为评估水生生态系统状况提供重要的诊断工具。长期以来,遥感技术一直被用于有效监测公海系统中的叶绿素浓度;然而,由于沿海系统固有的复杂性以及现有卫星系统的光谱和空间分辨率较粗,沿海和河口地区的业务监测受到了限制。使用美国国家航空航天局(NASA)的先进可见红外成像光谱仪(AVIRIS)在约20000米的高度飞行收集数据,以提供高光谱图像并模拟中分辨率成像光谱仪(MERIS)和中等分辨率成像光谱仪(MODIS)数据。利用辐射传输建模方法对AVIRIS数据进行大气校正,并使用波段比值和线性回归模型进行分析。2002年5月15日,在纽斯河河口(NRE)和帕姆利科湾进行同步实地测量数据的回归分析。使用以673.6和692.7纳米为中心的AVIRIS波段(9.5纳米)对叶绿素(Chl)浓度进行了最佳估计,决定系数( )为0.98。还估计了发色溶解有机物(CDOM)、总悬浮固体(TSS)和固定悬浮固体(FSS)的浓度,决定系数分别为0.59和0.64。以MERIS和MODIS传感器对应的波段为中心或附近的AVIRIS波段比值表明,分别在300米和500米的空间分辨率下,有可能对水色成分得出相对较好的基于卫星的估计值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2db/4373146/2cf2f9e25e08/tres30-3291_f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2db/4373146/d0249f937765/tres30-3291_f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2db/4373146/cfc6a336222c/tres30-3291_f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2db/4373146/fe9ba89b617d/tres30-3291_f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2db/4373146/c31807cdd752/tres30-3291_f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2db/4373146/2cf2f9e25e08/tres30-3291_f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2db/4373146/d0249f937765/tres30-3291_f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2db/4373146/cfc6a336222c/tres30-3291_f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2db/4373146/fe9ba89b617d/tres30-3291_f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2db/4373146/c31807cdd752/tres30-3291_f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2db/4373146/2cf2f9e25e08/tres30-3291_f5.jpg

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