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首页> 外文期刊>Continental Shelf Research: A Companion Journal to Deep-Sea Research and Progress in Oceanography >Landsat-8 imagery to estimate clarity in near-shore coastal waters: Feasibility study - Chabahar Bay, Iran
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Landsat-8 imagery to estimate clarity in near-shore coastal waters: Feasibility study - Chabahar Bay, Iran

机译:Landsat-8影像可估算近岸沿海水域的清晰度:可行性研究-伊朗Chabahar湾

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This study examined the advantages of incorporating the new band of Landsat-8 OLI imagery (band 1: Coastal/Aerosol, 435-451 nm) to a model for estimation of Secchi disk depth (SDD) values (as an indicator for transparency) in near-shore coastal waters using multispectral bands. In doing so, Chabahar Bay in the southern part of Iran (north of Gulf of Oman) was selected as the study area. Two approximately four-hour in-situ observations (including 48 and 56 field measured SDD values for each date respectively) were performed in the study area using Secchi disk; this was designed to start about two hours before and end about two hours after the time of satellite overpasses. Thereafter, a model was formed for estimation of SDD values based on the terms including all possible linear and mutual ratio values of Coastal/Aerosol (B1), Blue (B2), Green (B3), and Red bands (B4). In the first step, the correlation between reflectance/ratio reflectance values of these bands and Ln(SDD) values were calculated to indicate higher correlated bands/band ratios with the first field measured SDD values. Consequently, 17 combinations of highest correlated bands/band ratios were selected to estimate SDD values. In this regard, 32 points among the 48 field observations were selected to determine unknown coefficients of models using a multiple linear regression, and the rest 16 points were designated for accuracy assessment the results. Eventually, the measured SDD values in second field observations were utilized for validating the results. Final results demonstrated that combination of linear terms including B1, B2 and B3 bands and band ratio terms including ratio reflectance values of B4/B3, B3/B1, and B2/B1 has led to obtain the highest accuracy (R-2=0.866 and RMSE=0.919, SVM feature weight=4.294). This was in agreement with the results obtained from the second observations. Finally, by applying the entire 104 field observed SDD values, the model in form of SDD=0.077exp (1.209R(B1)-1.739R(B2)+0.412R(B3)-5.198R(B3)/R-B1 +10.40812(B2)/R-B1) can be used to determine SDD values in near-shore coastal waters of Chabahar Bay using atmospherically corrected reflectance values of Landsat-8 OLI bands. (C) 2016 Elsevier Ltd. All rights reserved.
机译:这项研究检验了将Landsat-8 OLI新波段图像(波段1:沿海/气溶胶,435-451 nm)合并到模型中以评估Secchi盘深度(SDD)值(作为透明度的指标)的优势。使用多光谱波段的近岸沿海水域。为此,伊朗南部(阿曼湾北部)的查巴哈尔湾被选为研究区域。使用Secchi磁盘在研究区域进行了两个大约四个小时的原位观测(分别包括每个日期的48和56个现场测量的SDD值);它的设计开始于卫星超越时间之前约两个小时,然后约两个小时后结束。此后,基于包括沿海/气溶胶(B1),蓝色(B2),绿色(B3)和红色谱带(B4)的所有可能的线性和相互比值的术语,形成了一个用于估计SDD值的模型。在第一步中,计算这些波段的反射率/比率反射率值与Ln(SDD)值之间的相关性,以表明与第一场实测SDD值具有更高的相关波段/带比率。因此,选择了最高相关频段/频段比率的17种组合来估计SDD值。在这方面,使用多元线性回归从48个现场观测中选择32个点来确定模型的未知系数,并指定其余16个点用于结果的准确性评估。最终,在第二次野外观测中测得的SDD值被用于验证结果。最终结果表明,包括B1,B2和B3波段在内的线性项与包括B4 / B3,B3 / B1和B2 / B1的比率反射率值的带比率项的组合已经获得了最高的精度(R-2 = 0.866和RMSE = 0.919,SVM特征权重= 4.294)。这与从第二次观察获得的结果一致。最后,通过应用整个104场观测到的SDD值,SDD = 0.077exp(1.209R(B1)-1.739R(B2)+ 0.412R(B3)-5.198R(B3)/ R-B1 +可以使用Landsat-8 OLI波段的大气校正反射率值,使用10.40812(B2)/ R-B1)确定查巴哈尔湾近岸沿海水域的SDD值。 (C)2016 Elsevier Ltd.保留所有权利。

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