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GeoStationary Fire data for Developing Countries

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
负责人:
Martin Wooster
金额:
$14.27万
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
项目状态:
已结题
起止时间:
2019 至 --

项目摘要

项目成果

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中文摘要
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英文摘要
Developing countries are the site of most landscape burning worldwide. They burn the most peatland and forest, have the highest deforestation and net fire-related greenhouse gas emissions, squander economic opportunity by burning agricultural residues, have infrastructure such as power lines and resources such as forest plantations and protected areas at risk from fire, and experience the most recurrent and worst air pollution events associated with landscape burning. Atmospheric impacts spread far beyond national borders, making this a regional problem through the spread of pollution, and a global problem through impacts on climate from carbon emissions. Billions of dollars have been spent on the ground- and space-based infrastructure necessary to provide real-time, continuous remote sensing observations that support meteorological forecasts worldwide. Our Project will harness this infrastructure in order to benefit developing country users who, because of the above issues, require accurate, actionable, and extremely up-to-date information on the location and characteristics of wildfires in their area of interest, and on the smoke that these fires are releasing into the atmosphere.Our project will make available real-time, accurate and actionable information on landscape fires and fire emissions through a combination of work by the UK team and our overseas partners. This new information will cover dozens of DAC-list countries in the tropics and sub-tropics that experience significant challenges from landscape burning, and so the benefits will be regional throughout the tropics and sub-tropics, rather than to only a few nations. We will use a source of new continuous and real-time (10 to 15 minute update frequency) meteorological satellite data to provide this real-time intelligence on wildfire state, exploiting algorithms developed under NERC funded research and working with Partners (IPMA, Portugal and UNAM, Mexico) who will implement these algorithms in their own satellite data processing chains to provide 24-hr guaranteed (99%) information availability on landscape fires. The resulting real-time wildfire information will be made available to users in all developing nations through the already extremely widely used Advanced Fire Information System (AFIS) run by our Partner CSIR, South Africa, who have tens of thousands of users already and as a result of this new pan-tropical information will greatly extend their reach throughout the tropics since this highest temporal resolution data is currently only available at the highest quality over North and West Africa. Our project will also provide the information required to turn the real-time fire information into real-time estimates of fire emissions - particularly focusing on health-impacting particulate matter and total carbon emissions, which will benefit developing country users who are focused on health-impacting particulate and GHG emissions assessments and the national programmes aimed at their reduction. Overall our project will provide a real step-change in actionable fire information available in the developing countries of South and Southeast Asia, Southern and East Africa, Mexico, Central and South America. Institutions and individuals in these regions will be able to identify fires burning close to power lines and/or other important critical infrastructure in order to take action (e.g. temporarily turn off the power line letting the fire pass underneath without problems), that have started within or close to forest reserves, plantations or protected areas (with the potential to dispatch fire response crews in a far more timely manner than currently), and which are impacting health and national GHG emissions (with information now available to better quantify these, ultimately in support at efforts to reduce them and thus gain through health improvements and/or REDD+ schemes. Keywords: Wildfires, smoke, satellites, infrastructure and area protection.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
Derivation and validation of top-down African biomass burning CO emissions and fuel consumption measures derived using geostationary FRP data and Sentinal-5P TROPOMI CO retrievals
使用对地静止 FRP 数据和 Sentinal-5P TROPOMI CO 检索得出的自上而下的非洲生物质燃烧 CO 排放和燃料消耗测量值的推导和验证
DOI: 10.5194/acp-2022-193
发表时间: 2022
期刊:
影响因子: --
作者: [Nguyen H]
通讯作者: Nguyen H
Improvements in high-temporal resolution active fire detection and FRP retrieval over the Americas using GOES-16 ABI with the geostationary Fire Thermal Anomaly (FTA) algorithm
使用 GOES-16 ABI 和对地静止火热异常 (FTA) 算法改进美洲的高时间分辨率主动火灾探测和 FRP 检索
DOI: 10.1016/j.srs.2021.100016
发表时间: 2021
期刊: Science of Remote Sensing
影响因子: --
作者: [Xu W]
通讯作者: Xu W
Biomass burning CO, PM and fuel consumption per unit burned area estimates derived across Africa using geostationary SEVIRI fire radiative power and Sentinel-5P CO data
使用对地静止 SEVIRI 火辐射功率和 Sentinel-5P CO 数据得出非洲各地生物质燃烧 CO、PM 和每单位燃烧面积燃料消耗的估计值
DOI: 10.5194/acp-23-2089-2023
发表时间: 2023
期刊: Atmospheric Chemistry and Physics
影响因子: 6.3
作者: [Nguyen H]
通讯作者: Nguyen H
NERC Earth Observation Data Analysis and Artificial-Intelligence Service (NEODAAS)
  • 批准号:
    NE/Y005406/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $333.21万
  • 财政年份:
    2024
  • 负责人:
    Martin Wooster
  • 依托单位:
NERC Field Spectroscopy Facility (FSF)
  • 批准号:
    NE/Y005392/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $177.38万
  • 财政年份:
    2024
  • 负责人:
    Martin Wooster
  • 依托单位:
Development and application of Earth Observation to support reductions in methane emission from agriculture (EOforCH4)
  • 批准号:
    ST/Y000420/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $11.77万
  • 财政年份:
    2023
  • 负责人:
    Martin Wooster
  • 依托单位:
EO4AgroClimate: How agri-tech and space-based solutions can support climate smart agriculture in Australia
  • 批准号:
    ST/W007088/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $3.12万
  • 财政年份:
    2021
  • 负责人:
    Martin Wooster
  • 依托单位:
海外基金