期刊
REMOTE SENSING
卷 13, 期 15, 页码 -出版社
MDPI
DOI: 10.3390/rs13152899
关键词
water quality; remote sensing; lake; estuary; coastal; sensors; management; interoperability; integration
类别
资金
- H2020 Odyssea [727277]
- HiSea research and innovation programme [821934]
- NASA ROSES [80HQTR19C0015]
- USGS Landsat Science Team Award [140G0118C0011]
- Natural Environment Research Council [NE/R000131/1]
- CSA FAST [19FAOTTB32]
- UK Natural Environment Research Council [NE/S016856/1]
- European Space Agency through the MERIS 4th reprocessing project [ARG/003-025/1406/LOG]
- EU [870497]
- NERC [NE/S016856/1] Funding Source: UKRI
Water quality measures can be obtained from professional and volunteer monitoring programs as well as automated sensors, with the integration of these data resulting in a more holistic understanding of dynamic ecosystems and improved water resource management. Combining data from various sources to answer scientific questions is common, but methods for scaling and integrating data globally have only recently emerged.
Water quality measures for inland and coastal waters are available as discrete samples from professional and volunteer water quality monitoring programs and higher-frequency, near-continuous data from automated in situ sensors. Water quality parameters also are estimated from model outputs and remote sensing. The integration of these data, via data assimilation, can result in a more holistic characterization of these highly dynamic ecosystems, and consequently improve water resource management. It is becoming common to see combinations of these data applied to answer relevant scientific questions. Yet, methods for scaling water quality data across regions and beyond, to provide actionable knowledge for stakeholders, have emerged only recently, particularly with the availability of satellite data now providing global coverage at high spatial resolution. In this paper, data sources and existing data integration frameworks are reviewed to give an overview of the present status and identify the gaps in existing frameworks. We propose an integration framework to provide information to user communities through the the Group on Earth Observations (GEO) AquaWatch Initiative. This aims to develop and build the global capacity and utility of water quality data, products, and information to support equitable and inclusive access for water resource management, policy and decision making.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据