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Improved Radiometric and Spatial Capabilities of the Coastal Zone Imager Onboard Chinese HY-1C Satellite for Inland Lakes

机译:改善沿海地区成像仪的辐射和空间能力船上湖畔汉语HY-1C卫星为内陆湖泊

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摘要

The coastal zone imager (CZI) onboard HY-1C satellite provides a new data source to monitor the lake environments. Here, we provided a preliminary evaluation for the applications of CZI on inland lakes and a comparison with the in situ , Landsat-8 operational land imager (OLI), and Sentinel-2 multispectral instrument (MSI) measurements. First, the in-orbit signal-to-noise ratios (SNRs) were estimated based on homogenous ocean pixels. SNRs of CZI reached ~200:1 in the visible bands and ~150:1 at the near-infrared bands, which are comparable with the OLI and slightly higher than those of the MSI. Then, the performance of 6SV and fast line-of-sight atmospheric analysis of hypercubes (FLAASH) models on the retrievals of remote sensing reflectance ( $R_{mathrm {rs}}$ ) from CZI measurements was evaluated. 6SV-derived $R_{mathrm {rs}}$ showed higher accuracy than that of FLAASH, validated by the synchronous in situ ( $R^{2} simeq 0.50$ , absolute percent difference (APD) $simeq ~20$ %) and OLI-derived $R_{mathrm {rs}}$ ( $R^{2} simeq ~0.75$ , APD $simeq ~5$ %). Finally, the abilities of CZI to observe cyanobacterial bloom, suspended particular matter (SPM), and chlorophyll- $a$ (Chl $a$ ) were assessed. CZI-derived, the area of cyanobacterial bloom and SPM, showed good agreements with the results yielded by the OLI and MSI data on May 24, 2019, in Lake Taihu ( $R^{2} = 0.68$ , root-mean-square error (RMSE) = 9.68 mg/L, APD = 13.52% for SPM). While CZI only has four wide bands, Chl $a$ derived by CZI using an empirical algorithm was relatively consistent with MSI-derived values. CZI demonstrated a decent performance in monitoring the environments of large lakes, and it is expected to add the bands for atmospheric correction and further works in the small-medium lakes in the future.
机译:沿海地区成像仪(CZI)车载HY-1C卫星提供了一种新的数据源来监控湖泊环境。在这里,我们为CZI在内陆湖泊上的应用和与<斜体XMLNS:MML =“的比较提供了初步评估,并与<斜体XMLNS:MML =”http://www.w3.org/1998/math/mathml“xmlns:xlink =”http: //www.w3.org/1999/xlink"ineinitu ,Landsat-8运行陆地成像器(OLI)和Sentinel-2多光谱仪器(MSI)测量。首先,基于均匀的海洋像素估计轨道信噪比(SNR)。 CZI的SNRS达到〜200:1在可见带中,近红外条带〜150:1,与OLI相当,略高于MSI。然后,在遥感反射率的检索中的6SV(FLAASH)模型中的6SV和快速视线大气分析的性能(<内联 - 公式XMLNS:MML =“http://www.w3.org/1998/数学/ MATHML“XMLNS:XLINK =”http://www.w3.org/1999/xlink“> $ r _ { mathrm {rs}} $ 评估了来自CZI测量的)。 6SV派生<内联公式XMLNS:MML =“http://www.w3.org/1998/math/mathml”xmlns:xlink =“http://www.w3.org/1999/xlink”> $ r _ { mathrm {rs}} $ 显示比FLAA档更高的精度,由同步原位(<内联公式xmlns:mml = “http://www.w3.org/1998/math/mathml”xmlns:xlink =“http://www.w3.org/1999/xlink”> $ r ^ {2} simeq 0.50 $ ,绝对百分比差异(apd)<内联公式xmlns:mml =“http://www.w3.org/1998/math/mathml “xmlns:xlink =”http://www.w3.org/1999/xlink“> $ simeq〜20 $ % )和oli派生的<内联公式xmlns:mml =“http://www.w3.org/1998/math/mathml”xmlns:xlink =“http://www.w3.org/1999/xlink”> $ r _ { mathrm {rs}} $ (<内联 - for MULA XMLNS:MML =“http://www.w3.org/1998/math/mathml”xmlns:xlink =“http://www.w3.org/1999/xlink”> $ r ^ {2} simeq〜0.75 $ ,apd $ Simeq〜5 $ %)。最后,CZI的能力观察蓝藻绽放,悬浮的特定物质(SPM)和叶绿素 - <内联公式XMLNS:MML =“http://www.w3.org/1998/math/mathml”xmlns:xlink = “http://www.w3.org/1999/xlink”> $ a $ (chl $ a评估$ )。 Czi-erived,蓝藻绽放和SPM面积表现出良好的协议,并于2019年5月24日在太湖湖(<内联XMLNS:MML =“http://www中的奥利和MSI数据产生了良好的协议。 w3.org/1998/math/mathml“xmlns:xlink =”http://www.w3.org/1999/xlink“> $ r ^ {2} = 0.68 $ < / tex-math> ,根均方误差(RMSE)= 9.68 mg / L,SPM的APD = 13.52%)。虽然CZI只有四个宽带,CHL <内联XMLNS:MML =“http://www.w3.org/1998/math/mathml”xmlns:xlink =“http://www.w3.org/1999 / xlink“> $ 使用经验算法派生的$ 与MSI衍生值相对一致。 CZI在监测大湖泊环境方面表现出一种体面的表现,预计将增加大气矫正的乐队,并在未来中小湖泊中进一步作品。

著录项

  • 来源
    《IEEE Geoscience and Remote Sensing Letters》 |2021年第2期|193-197|共5页
  • 作者单位

    Key Laboratory of Watershed Geographic Sciences Nanjing Institute of Geography and Limnology Chinese Academy of Sciences Nanjing China;

    Key Laboratory of Watershed Geographic Sciences Nanjing Institute of Geography and Limnology Chinese Academy of Sciences Nanjing China;

    Key Laboratory of Space Ocean Remote Sensing and Applications National Satellite Ocean Application Service Ministry of Natural Resources Beijing China;

    Key Laboratory of Space Ocean Remote Sensing and Applications National Satellite Ocean Application Service Ministry of Natural Resources Beijing China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Lakes; Sea measurements; Monitoring; Satellite broadcasting; Oceans; Avalanche photodiodes; Remote sensing;

    机译:湖泊;海量;监测;卫星广播;海洋;雪崩光电二极管;遥感;

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