Satellite remote sensing of coastal water quality in New Zealand

被引:8
作者
Gall, Mark P. [1 ]
Pinkerton, Matthew H. [1 ]
Steinmetz, Tilmann [1 ]
Wood, Simon [1 ]
机构
[1] Natl Inst Water & Atmospher Res NIWA, Wellington, New Zealand
关键词
NIWA-SCENZ; MODIS-aqua; ArcGIS image service; R-Shiny app; ocean colour; timeseries; climatology; anomaly; seasonality; trends; INHERENT OPTICAL-PROPERTIES; OCEAN COLOR IMAGERY; ATMOSPHERIC CORRECTION; CLASSIFICATION SCHEME; VISUAL CLARITY; SHELF WATERS; ALGORITHMS; MODEL; PHYTOPLANKTON; REFLECTANCE;
D O I
10.1080/00288330.2022.2113410
中图分类号
S9 [水产、渔业];
学科分类号
0908 ;
摘要
Water quality in estuarine and coastal waters of Aotearoa New Zealand is of concern yet currently under-monitored, reflecting challenges of sampling at regular intervals across large areas. Satellite products are currently underutilised (globally) by management agencies but could be part of a holistic approach. NIWA-SCENZ (Seas, Coasts and Estuaries New Zealand) is a website providing access to MODIS-Aqua products at moderate spatial resolution (500 m) across relatively clear coastal waters (Case 1) to turbid coastal waters (Case 2). It also provides advanced analytical tools on an extracted area of interest for trend assessment (Shiny-SCENZ). For Case 1 areas product accuracy will be comparable to data from other websites using the same algorithms. For Case 2 and transition (blended) areas, although tuned to New Zealand conditions, accuracy of products requires validation. Data availability is mainly impacted by cloud cover, but also adjacency to land and bottom reflection. On average <5% within similar to 1 km from coastlines, compared to similar to 10%-30% outside 2 km. Extrapolation and blending from offshore into shorelines on month averaged maps extend estimates into many bays and estuaries. Active research efforts will deliver iterative improvements in data quality, new products, and analysis methods (e.g. variability and long-term trend maps).
引用
收藏
页码:585 / 616
页数:32
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