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Remote sensing estimation of the biomass of floating Ulva prolifera and analysis of the main factors driving the interannual variability of the biomass in the Yellow Sea

机译:黄海浮游鱼类生物量的遥感估算及驱动其生物量年际变化的主要因素分析

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摘要

Since 2007, green tide blooms with Ulva prolifera as the dominant species have occurred every summer in the Yellow Sea. Biomass is a critical parameter used to describe the severity of green tide blooms. In this study, we analyzed the relationships between several indices (normalized difference vegetation index (NDVI), floating algae index (FM), ratio vegetation index (RVI), enhanced vegetation index (EVI), ocean surface algal bloom index (OSABI), Korea Ocean Satellite Center (KOSC) approach) and the biomass per unit area of Ulva prolifera by using the in situ measurements from a water tank experiment. EVI, NDVI, and FM showed strong exponential relationships with Ulva prolifera biomass per unit area. In order to apply the relationships to satellite remote sensing data, the impacts of the atmosphere (different aerosol optical depth at 550 nm) and mixed pixels to the relationships were analyzed. The results show that atmosphere has little effect on the relationship between EVI and Ulva prolifera biomass per unit area with R-2 = 0.94 and APD (the average percentage deviation) = 19.55% when EVI is calculated from Rr, (Rayleigh-corrected reflectance), and R-2 = 0.95 and APD = 17.53% when EVI is calculated from Rm. (top-of-atmosphere reflectance). Due to the low sensitivity to the atmosphere, the EVI relationship can be directly utilized in the top-of-atmosphere (TOA) reflectance without atmospheric correction. In addition, the EVI was slightly affected by mixed pixels with the APD only increased by similar to 10%. The EVI relationship was then applied to a long MODIS image time series to obtain the maximal total biomass of floating Ulva prolifera in the Yellow Sea from 2007 to 2016. The results showed that the maximum and minimum total biomass occurred in 2016 (similar to 1.17 million tons) and 2012 (similar to 0.074 million tons), respectively. The main factors that caused the inter-annual biomass variability were analyzed. The total amount of nutrients from Sheyang River which was the largest river on the northern coast of Jiangsu Province, and Porphyra cultivation in the Radial Sand Ridges of Jiangsu Province had both strong correlation with Ulva prolifera total biomass.
机译:自2007年以来,每年夏天在黄海中都会出现以Ulva prolifera为主导物种的绿潮。生物量是用于描述绿潮水华严重程度的关键参数。在这项研究中,我们分析了多个指标之间的关系(归一化差异植被指数(NDVI),浮藻指数(FM),比率植被指数(RVI),增强植被指数(EVI),海表藻华指数(OSABI),韩国海洋卫星中心(KOSC)的方法)和通过使用水箱实验的原位测量来测量Ulva增殖体的单位面积生物量。 EVI,NDVI和FM与单位面积上的Ulva增殖生物量显示出很强的指数关系。为了将这些关系应用于卫星遥感数据,分析了大气(550 nm处不同的气溶胶光学深度)和混合像素对关系的影响。结果表明,当用Rr计算EVI时,大气对EVI和单位面积Ulva增殖生物量之间的关系影响很小,R-2 = 0.94,APD(平均百分比偏差)= 19.55%(瑞利校正反射率) ,当根据Rm计算EVI时,R-2 = 0.95和APD = 17.53%。 (大气反射率最高)。由于对大气的敏感性较低,因此可以直接在大气压(TOA)反射率中利用EVI关系,而无需进行大气校正。此外,EVI受到混合像素的轻微影响,APD仅增加了约10%。然后将EVI关系应用于一个较长的MODIS图像时间序列,以获得2007年至2016年黄海中漂浮的Ulva浮游生物的最大总生物量。结果表明,最大和最小总生物量发生在2016年(约等于117万吨)和2012年(约0.74万吨)。分析了引起年际生物量变化的主要因素。江苏省北部沿海最大河流射阳河的养分总量与江苏省the沙脊的紫菜栽培均与Ulva prolifera总生物量密切相关。

著录项

  • 来源
    《Marine pollution bulletin》 |2019年第3期|330-340|共11页
  • 作者单位

    Minist Nat Resources, Inst Oceang 1, Qingdao 266061, Shandong, Peoples R China;

    Minist Nat Resources, Inst Oceang 1, Qingdao 266061, Shandong, Peoples R China;

    Minist Nat Resources, Inst Oceang 1, Qingdao 266061, Shandong, Peoples R China;

    Ocean Univ China, Coll Informat Sci & Engn, Qingdao 266100, Shandong, Peoples R China;

    Minist Nat Resources, Inst Oceang 1, Qingdao 266061, Shandong, Peoples R China;

    Minist Nat Resources, Inst Oceang 1, Qingdao 266061, Shandong, Peoples R China;

    Ocean Univ China, Coll Informat Sci & Engn, Qingdao 266100, Shandong, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Biomass; Ulva prolifera; Remote sensing; Atmosphere effect; Ocean color; EVI;

    机译:生物质;Ulva增生;遥感;大气效应;海洋颜色;EVI;

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