Automated AI-supported methane plume detection from satellite and aircraft images

从卫星和飞机图像中自动检测人工智能支持的甲烷羽流

基本信息

  • 批准号:
    568677-2021
  • 负责人:
  • 金额:
    $ 7.77万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Alliance Grants
  • 财政年份:
    2022
  • 资助国家:
    加拿大
  • 起止时间:
    2022-01-01 至 2023-12-31
  • 项目状态:
    已结题

项目摘要

GHGSat is a Canadian company and a world leader in monitoring greenhouse gas emissions in high resolution from space. It is a pioneer in the detection of methane using satellites. GHGSat's products and services provide useful and actionable emissions information to industry, governments and regulators around the world. The satellites and the airborne system of GHGSat continuously send a large quantity of images to the ground which must be analyzed individually by specialized operators with the objective of identifying areas of methane emissions. Methane is a greenhouse gas whose impact is 84 times greater than CO2. GHGSat currently operates three (3) satellites and one airborne system. In the coming years, several other satellites will be in operation as well as several airborne systems. The number of images received will therefore increase significantly as these new equipments comes into service. GHGSat main need for the project is a tool to support its operators in identifying the regions of potential methane emissions, while eliminating the other regions. To improve its reliability, the tool would integrate into its analysis information such as cloud cover, wind, sun reflection data, the positioning of industrial sites and the presence of past emissions. INO's digital vision experts will be involved in the project to identify regions of interest. Subsequently, the École Polytechnique de Montréal will use artificial intelligence to increase the reliability of detection decisions. The project aims for a Technology Readiness Level five (TRL 5). The support tool will be integrated into GHGSat operations process in order to optimize images processing time and get a better use of the operators' expertise for the difficult cases. In addition, GHGSat hopes to be able to reduce its image processing time. GHGSat's patented satellite imagery technology is unique in the world. The benefits of such a project will have a direct impact on maintaining our position as a world leader and on our operations. Optimized operations, consistency of analysis, faster delivery to customers and better control of emissions will ultimately result in a favorable and direct impact on the environment.
GHGSAT是唱歌的高分辨率的全球领导者。 Y型甲烷排放量的专业运营商目前在未来几年的几年中运行了三(3)个卫星。用于提高其可靠性,该工具将其分析不分析不分析云覆盖率,一些反射数据,工业的正面占据。蒙特利尔人的智力降低了可靠性检测决策。艰难的卡斯(Casses)。此外,GHGSAT希望将其图像图像图像图像卫星图像技术INIQUE造成这种冠军的好处,这将对我们作为世界领导者的地位和我们的运营一致性产生直接影响。 ,更快地向客户交付和更好的排放将对环境产生良好而直接的影响。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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

{{ 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 }}

Merlo, EttoreEM其他文献

Merlo, EttoreEM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 }}

相似国自然基金

支持对抗样本防御的人工智能处理器架构研究
  • 批准号:
  • 批准年份:
    2022
  • 资助金额:
    54 万元
  • 项目类别:
    面上项目
医学影像中的人工智能方法与数学理论专题讲习班
  • 批准号:
    12126413
  • 批准年份:
    2021
  • 资助金额:
    20.0 万元
  • 项目类别:
    数学天元基金项目
实时数据驱动人工智能决策支持系统在心房纤颤整合管理的研究
  • 批准号:
    82170309
  • 批准年份:
    2021
  • 资助金额:
    64 万元
  • 项目类别:
    面上项目
人工智能技术支持的在线学习投入度预测与自适应干预应用研究
  • 批准号:
  • 批准年份:
    2021
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
人工智能支持下的日语语法智适应学习平台建设研究
  • 批准号:
    62007006
  • 批准年份:
    2020
  • 资助金额:
    24 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

認知機能維持・健康生活を支援するReminiscence(回想)AIヘルスロボットシステムの構築
打造支持认知功能维护和健康生活的Reminiscence AI健康机器人系统
  • 批准号:
    23K27920
  • 财政年份:
    2024
  • 资助金额:
    $ 7.77万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
GOAL project: AI-supported self-directed learning lifestyle in data-rich educational ecosystem
GOAL 项目:数据丰富的教育生态系统中人工智能支持的自主学习生活方式
  • 批准号:
    23K25156
  • 财政年份:
    2024
  • 资助金额:
    $ 7.77万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
認知機能維持・健康生活を支援するReminiscence(回想)AIヘルスロボットシステムの構築
打造支持认知功能维护和健康生活的Reminiscence AI健康机器人系统
  • 批准号:
    23H03230
  • 财政年份:
    2023
  • 资助金额:
    $ 7.77万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
UROL:ASC: AI-Supported Bionic Bivalves for Surface Water Monitoring based on Freshwater Mussel Response to Environmental Change
UROL:ASC:基于淡水贻贝对环境变化的响应,人工智能支持的仿生双壳类用于地表水监测
  • 批准号:
    2319389
  • 财政年份:
    2023
  • 资助金额:
    $ 7.77万
  • 项目类别:
    Standard Grant
Fraxpert: AI-supported fracture diagnosis system to tackle the radiology workforce crisis in the UK
Fraxpert:人工智能支持的骨折诊断系统可解决英国放射科劳动力危机
  • 批准号:
    10021603
  • 财政年份:
    2022
  • 资助金额:
    $ 7.77万
  • 项目类别:
    Collaborative R&D
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了