NERC Earth Observation Data Acquisition and Analysis Service (NEODAAS)

NERC 地球观测数据采集和分析服务 (NEODAAS)

基本信息

  • 批准号:
    NE/S013377/1
  • 负责人:
  • 金额:
    $ 210.92万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2019
  • 资助国家:
    英国
  • 起止时间:
    2019 至 无数据
  • 项目状态:
    已结题

项目摘要

[Note, NEODAAS were advised to merely cut and paste from the case for support into this section] The vision for NEODAAS is to provide NERC and UKRI academic communities with flexible, responsive and innovative national capability in Earth Observation data, services and advice, which addresses key strategic research and innovation priorities and contributes to understanding of important environmental issues affecting the UK. Earth Observation (EO) is crucial for observing Earth system processes in near-real time (NRT) at synoptic scales and over long periods as the data records extend in time. The European Copernicus programme, in particular, is enabling significant advances in the field through construction of an operational system of satellite-based sensors, with new and improved capabilities. Copernicus benefits the science of the expert EO community, and has even greater potential for non EO experts who can use EO derived data and information for the first time. There is, thus, increasing demand for EO data and services, but clearly it is inefficient for all grant-holders to be generating their own EO data, while many non-EO experts do not have the skill base to do their own processing. Hence, the need for NEODAAS at Plymouth was confirmed by the NERC Facilities Evaluation Panel. Surveys by NERC Head Office and NCEO show strong demand for a value for money EO service which has demonstrably resulted in high quality science: between 2013/14 and 2017/18, NEODAAS supported 321 ISI-refereed publications (with >10k citations to all NEODAAS papers).NEODAAS services include: EO products and information including production of analysis-ready data products to meet particular UK needs (such as UK projections or bespoke algorithms); rapid-response with very fast delivery times; provision of data in formats that can be easily used by non-experts; operationalisation of algorithms produced by NERC-funded research, for wider impact in the community; and provision of advice and training in the sources and best practice in EO. NEODAAS offers a centralised service from one location, thus avoiding duplication, and providing critical mass. NEODAAS is currently a dual node facility based at Plymouth Marine Laboratory (PML) and the University of Dundee. The recommissioned service will continue work performed at PML, and will expand this by taking on certain of the work undertaken by Dundee - namely the collection of level 1 data for NRT data processing. This will be done via web/ftp downloads and PML-based EUMETCast data reception. NEODAAS will provide flexibility to meet the wide range of UK community needs, and considerable leverage in terms of exploiting PML R&D outcomes, local expertise and existing computing and processing systems. NEODAAS will support Excellent Science funded through NERC grants, NERC Centre/Survey NC, Fellowships, Doctoral Training Partnerships or Centres for Doctoral Training, direct-access proposals as well as UKRI funding opportunities, such as the GCRF and Industrial Strategy Challenge Fund (ISCF). The end-user community and the corresponding services may be split into two groups or strands:Strand 1) Services to non-EO experts who wish to make use of EO datasets and information but do not wish, or are not able to spend extensive time learning how to do data processing. These services support the wider user community, numbering potentially many 1000's, many of whom may not even be aware of it (e.g. non-EO scientists on research cruises guided by NEODAAS).Strand 2) Services to the EO Community who have EO expertise, but want specialist aid such as algorithm implementation, e.g. arising from NCEO research, in a NRT framework or would like to include their algorithms in the NEODAAS processing chain. The potential number of users is smaller, typically 100's, but the services may be more complex and bespoke in nature than those in Strand 1.
[请注意,建议仅从案例中剪切和粘贴以支持本节] NEODAAS的愿景是为NERC和UKRI学术界提供灵活,响应和创新的国家在地球观察数据,服务,服务和建议中的灵活,响应和创新的国家能力,这解决了关键的战略研究和创新的优先事项,并有助于对影响英国影响的重要环境问题的理解。接地观察(EO)对于在近期尺度和长期内随着时间的流逝而在近期尺度和长期内观察地球系统过程至关重要。尤其是欧洲哥白尼计划,通过建立基于卫星的传感器的操作系统,具有新的和改进的功能,从而在现场实现了重大进步。哥白尼受益于专家EO社区的科学,对于可以首次使用EO派生的数据和信息的非EO专家具有更大的潜力。因此,对EO数据和服务的需求增加了,但是显然,所有赠款人都可以生成自己的EO数据,而许多非EO专家没有自己的处理技能库。因此,NERC设施评估小组确认了普利茅斯的NEODAAS的需求。 Surveys by NERC Head Office and NCEO show strong demand for a value for money EO service which has demonstrably resulted in high quality science: between 2013/14 and 2017/18, NEODAAS supported 321 ISI-refereed publications (with >10k citations to all NEODAAS papers).NEODAAS services include: EO products and information including production of analysis-ready data products to meet particular UK needs (such as UK projections or bespoke算法);快速响应,交货时间非常快;以非专家可以轻松使用的格式提供数据;由NERC资助的研究产生的算法的操作,以对社区的更广泛影响;以及在EO来源和最佳实践中提供建议和培训。 NEODAAS从一个位置提供集中服务,从而避免重复并提供临界质量。 NEODAAS目前是位于普利茅斯海洋实验室(PML)和邓迪大学的双节点设施。推荐服务将继续在PML执行,并通过承担邓迪开展的某些工作来扩展这一点 - 即收集NRT数据处理的1级数据。这将通过Web/FTP下载和基于PML的Eumetcast数据接收来完成。 NEODAAS将提供灵活性,以满足英国社区的广泛需求,并在利用PML研发成果,本地专业知识以及现有的计算和处理系统方面具有相当大的杠杆作用。 NEODAAS将支持通过NERC赠款,NERC中心/调查NC,奖学金,博士培训合作伙伴或中心进行博士培训,直接访问提案以及乌克里资助机会(例如GCRF和工业战略挑战基金(ISCF))资助的优秀科学。最终用户社区和相应的服务可以分为两个组或链:链1)为希望使用EO数据集和信息的非欧洲竞争专家提供服务,但不希望或不希望花费大量时间学习如何进行数据处理。这些服务支持更广泛的用户社区,对许多1000的编号进行了编号,其中许多人甚至可能都不知道它(例如,由NEODAAS指导的研究巡航的非欧洲局科学家).Strand 2)STRASTRAND 2)为具有EO专业知识的EO社区提供服务,但想要诸如Algorithm实施的专业援助,例如实施算法。由NCEO研究,在NRT框架中产生,或者希望将其算法包括在NEODAAS加工链中。潜在的用户数量较小,通常是100个,但是与Strand 1中的服务相比,这些服务本质上可能更复杂和定制。

项目成果

期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Seasonal and inter-annual variability of net primary production in the NW Iberian margin (1998-2016) in relation to wind stress and sea surface temperature
伊比利亚西北部边缘(1998-2016)净初级生产的季节性和年际变化与风应力和海面温度的关系
  • DOI:
    10.1016/j.pocean.2019.102135
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    4.1
  • 作者:
    Beca-Carretero P
  • 通讯作者:
    Beca-Carretero P
The 2014-2015 Lava Flow Field at Holuhraun, Iceland: Using Airborne Hyperspectral Remote Sensing for Discriminating the Lava Surface
2014-2015年冰岛Holuhraun熔岩流场:利用机载高光谱遥感判别熔岩表面
  • DOI:
    10.3390/rs11050476
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    5
  • 作者:
    Aufaristama M
  • 通讯作者:
    Aufaristama M
Using repeat airborne LiDAR to map the growth of individual oil palms in Malaysian Borneo during the 2015-16 El Niño
使用重复机载激光雷达绘制 2015-16 厄尔尼诺现象期间马来西亚婆罗洲各个油棕的生长情况
Seasonal plant development and meadow structure of Irish and southern Spanish seagrass populations
爱尔兰和西班牙南部海草种群的季节性植物发育和草甸结构
  • DOI:
    10.1016/j.aquabot.2022.103569
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    1.8
  • 作者:
    Azcárate-García T
  • 通讯作者:
    Azcárate-García T
Multi-nested WRF simulations for studying planetary boundary layer processes on the turbulence-permitting scale in a realistic mesoscale environment
  • DOI:
    10.1080/16000870.2020.1761740
  • 发表时间:
    2020-01
  • 期刊:
  • 影响因子:
    0
  • 作者:
    H. Bauer;S. K. Muppa;V. Wulfmeyer;A. Behrendt;K. Warrach‐Sagi;F. Späth
  • 通讯作者:
    H. Bauer;S. K. Muppa;V. Wulfmeyer;A. Behrendt;K. Warrach‐Sagi;F. Späth
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Martin Wooster其他文献

Martin Wooster的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Martin Wooster', 18)}}的其他基金

NERC Earth Observation Data Analysis and Artificial-Intelligence Service (NEODAAS)
NERC 地球观测数据分析和人工智能服务 (NEODAAS)
  • 批准号:
    NE/Y005406/1
  • 财政年份:
    2024
  • 资助金额:
    $ 210.92万
  • 项目类别:
    Research Grant
NERC Field Spectroscopy Facility (FSF)
NERC 现场光谱设施 (FSF)
  • 批准号:
    NE/Y005392/1
  • 财政年份:
    2024
  • 资助金额:
    $ 210.92万
  • 项目类别:
    Research Grant
Development and application of Earth Observation to support reductions in methane emission from agriculture (EOforCH4)
地球观测的开发和应用以支持减少农业甲烷排放(EOforCH4)
  • 批准号:
    ST/Y000420/1
  • 财政年份:
    2023
  • 资助金额:
    $ 210.92万
  • 项目类别:
    Research Grant
EO4AgroClimate: How agri-tech and space-based solutions can support climate smart agriculture in Australia
EO4AgroClimate:农业技术和天基解决方案如何支持澳大利亚的气候智能农业
  • 批准号:
    ST/W007088/1
  • 财政年份:
    2021
  • 资助金额:
    $ 210.92万
  • 项目类别:
    Research Grant
Pollution and Climate Smart Agriculture in China (PaCSAC)
中国污染与气候智能型农业 (PaCSAC)
  • 批准号:
    ST/V002651/1
  • 财政年份:
    2020
  • 资助金额:
    $ 210.92万
  • 项目类别:
    Research Grant
GeoStationary Fire data for Developing Countries
发展中国家的地球静止火灾数据
  • 批准号:
    NE/S014004/1
  • 财政年份:
    2019
  • 资助金额:
    $ 210.92万
  • 项目类别:
    Research Grant
UK-China Agritech Challenge - Utilizing Earth Observation and UAV Technologies to Deliver Pest and Disease Products and Services to End Users in China
中英农业科技挑战赛——利用地球观测和无人机技术为中国最终用户提供病虫害产品和服务
  • 批准号:
    BB/S020977/1
  • 财政年份:
    2019
  • 资助金额:
    $ 210.92万
  • 项目类别:
    Research Grant
Field Spectroscopy Facility (FSF)
现场光谱设备 (FSF)
  • 批准号:
    NE/S013385/1
  • 财政年份:
    2019
  • 资助金额:
    $ 210.92万
  • 项目类别:
    Research Grant
New satellite observations to improve monitoring and forecasting of severe smoke pollution over SE Asia caused by Indonesian landscape burning
新的卫星观测可改善对印度尼西亚景观燃烧造成的东南亚严重烟雾污染的监测和预报
  • 批准号:
    ST/S003029/1
  • 财政年份:
    2019
  • 资助金额:
    $ 210.92万
  • 项目类别:
    Research Grant
KEY IN SITU MEASURES OF EL NINO EXACERBATED FIRES IN INDONESIA
针对厄尔尼诺现象加剧印度尼西亚火灾的关键现场措施
  • 批准号:
    NE/N01555X/1
  • 财政年份:
    2016
  • 资助金额:
    $ 210.92万
  • 项目类别:
    Research Grant

相似国自然基金

杨柳坪超大型Cu-Ni-PGE矿床硫化物熔体固化过程铂族元素地球化学行为精细研究
  • 批准号:
    42303019
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
南海北部“海马”与“F站位”冷泉生物的元素和同位素地球化学特征及其对甲烷来源的示踪
  • 批准号:
    42372161
  • 批准年份:
    2023
  • 资助金额:
    53 万元
  • 项目类别:
    面上项目
火山活动的分子地球化学响应与有机质富集机制——以上寺剖面大隆组为例
  • 批准号:
    42302189
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
基于中日两国新一代地球静止轨道卫星的植被初级生产力遥感
  • 批准号:
    42311540014
  • 批准年份:
    2023
  • 资助金额:
    20 万元
  • 项目类别:
    国际(地区)合作与交流项目
东北森林干扰的生物地球物理效应及其机制解析
  • 批准号:
    42371075
  • 批准年份:
    2023
  • 资助金额:
    48 万元
  • 项目类别:
    面上项目

相似海外基金

Synchronising Earth Observation and Modelling Frameworks Towards a Digital Twin Ocean (SyncED-Ocean)
同步地球观测和建模框架以实现数字孪生海洋 (SyncED-Ocean)
  • 批准号:
    NE/Z50337X/1
  • 财政年份:
    2024
  • 资助金额:
    $ 210.92万
  • 项目类别:
    Research Grant
NERC Earth Observation Data Analysis and Artificial-Intelligence Service (NEODAAS)
NERC 地球观测数据分析和人工智能服务 (NEODAAS)
  • 批准号:
    NE/Y005406/1
  • 财政年份:
    2024
  • 资助金额:
    $ 210.92万
  • 项目类别:
    Research Grant
Addressing The Deficiencies Of ESG Data Using Earth Observation Technologies
利用地球观测技术解决 ESG 数据的缺陷
  • 批准号:
    900264
  • 财政年份:
    2023
  • 资助金额:
    $ 210.92万
  • 项目类别:
    Collaborative R&D
EO4SDGs: Spatiotemporal poverty mapping using earth observation data and deep learning in Africa
EO4SDGs:利用地球观测数据和深度学习绘制非洲时空贫困图
  • 批准号:
    2890076
  • 财政年份:
    2023
  • 资助金额:
    $ 210.92万
  • 项目类别:
    Studentship
Automatic Landslide Mapping with Earth Observation Data
利用地球观测数据自动绘制滑坡地图
  • 批准号:
    2884587
  • 财政年份:
    2023
  • 资助金额:
    $ 210.92万
  • 项目类别:
    Studentship
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了