| “哨兵-2”卫星影像及C2RCC算法在太湖冬春季水色分析中的应用 |
| Application of Sentinel-2 Satellite Images and C2RCC Algorithm for the Water Color Analysis of the Taihu Lake in Winter and Spring |
| 投稿时间：2022-12-01 修订日期：2023-08-08 |
| DOI：10.19316/j.issn.1002-6002.2024.03.27 |
| 中文关键词: 哨兵-2 遥感 C2RCC算法 水色反演 太湖 |
| 英文关键词:Sentinel-2 remote sensing C2RCC algorithm water color retrieval the Taihu Lake |
| 基金项目:国家水体污染控制与治理科技重大专项(2017ZX07302-003);江苏省环境监测科研基金项目(2116);江苏省环保科研课题(2019010) |
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| 通讯作者:姜晟* 江苏省环境监测中心 江苏省太湖水质监测中心站, 江苏 南京 210019 |
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| 中文摘要: |
| 利用太湖2019—2022年冬春季“哨兵-2”卫星10 m分辨率的MSI影像和SNAP软件C2RCC (Case 2 RegionalCoastColour)模块,以适合浑浊、富营养程度较高、光学复杂的“二类水体”的C2X-nets为模式,开展太湖叶绿素a、总悬浮物浓度、透明度等水色参数反演。结果表明:冬春季太湖各湖区叶绿素a浓度处于较低水平,但4月中旬起有明显抬升;太湖西部沿岸区、南部沿岸区和湖心区总悬浮物浓度较高,表明这些湖区易受风浪影响,造成沉积物再悬浮;太湖东部沿岸区、北部湖湾及东太湖遥感反演的水体清澈度较高,可能与这些湖区冬春季沉水植物菹草的分布有关,菹草生长对水质有较好的净化效果。总体来看,基于C2X-nets模式的C2RCC反演算法从较高分辨率卫星遥感影像中提取的水色信息,能有效反映太湖冬春季水色指标的空间分布特征,可为湖体生态状况及动态变化的长期监测评估提供有价值的参考。 |
| 英文摘要: |
| The C2RCC (Case 2 Regional CoastColour) module of SNAP software,with specific case-2 mode (C2X-nets) catered for turbid,eutrophic and therefore optically complex waters,was applied to the water color retrieval from 10m resolution Sentinel- 2 MSI images of the Taihu Lake for the winter to spring time spans of year 2019 to 2022, and the water color indices of chlorophyll-a,total suspended substance and transparency of the 8 sub-regions of the Taihu Lake were obtained. It was shown that during the winter to spring span, chlorophyll-a usually had low concentration, but had an evident rise since mid-April. In the western,southern and central sub-region of the lake, total suspended substance showed higher concentration than other subregions,which implies they are susceptible to wind induced resuspension of sediments. The remote sensing retrieved water clarity showed higher values in the eastern,northern bays and in eastern Taihu Lake,it is related to the growth of potamogeton crispus,a typical submerged macrophytes which has prominent water clarification effects in these sub-regions. In summary, water color information retrieved by C2RCC algorithm under C2X-nets mode from high resolution MSI images is capable of demonstrating the spatial and temporal pattern,and can aid in the long term appraisal of lake aquatic eco-system status and variation. |
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