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REDD+ Monitoring Services with Satellite Earth Observation - Community Forest Monitoring Pilot

REDD+ Monitoring Services with Satellite Earth Observation - Community Forest Monitoring Pilot
REDD 卫星地球观测监测服务 - 社区森林监测试点
批准号:
NE/N017021/1
负责人:
Heiko Balzter
金额:
$12.54万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --

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中文摘要
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英文摘要
The Sustainable Development Goals (SDGs), a universal set of goals, targets and indicators that UN member states will be expected to use to frame their agendas and policies over the next 15 years, were agreed in New York earlier this year. One of the 17 goals is to "Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification and halt and reverse land degradation, and halt biodiversity loss". According to the Global Carbon Project, carbon dioxide emissions from deforestation and other land-use change were 3.3 Gt carbon dioxide on average during 2004-2013, accounting for 8% of all emissions from human activity (fossil fuel, cement, land use change). There is a pressing need to support ongoing initiatives aimed at reducing emissions from deforestation and forest degradation, and participatory forest management strategies to reach sustainable management of forests and enhancement of forest carbon stocks in developing countriesIn the context of the UN Framework Convention on Climate Change, the international initiative "Reducing Emissions from Deforestation and forest Degradation" (REDD+) aims to protect carbon stocks and biodiversity in threatened ecosystems around the world. Policy makers, financiers and scientists have identified the need for robust and objective Measurement, Reporting and Verification (MRV) systems and it has been recognised that satellite technology is the only way to regularly monitor the world's forests on the timescales required.Within the context of REDD+, the University of Leicester is seeking to develop and demonstrate a prototype for a near-real-time forest cover change information service from Sentinel-1 and 2 satellite data that meets the relevant national forest definitions and is delivered directly in an easily accessible reporting format via a smartphone app to community forest associations and national agencies. Our initial focus is to address the management of tropical forests in Kenya, which has recently set out an ambitious climate change action plan. The service prototype will be delivered based on the University of Leicester's internationally renowned expertise in Earth Observation science in collaboration with a mobile technology developer in Kenya (UKALL Ltd).Market research has been conducted via a NERC Pathfinder grant to assess the potential uptake of a global near-real-time deforestation information service from satellites, commercialising the research results from the NERC CORSAR grant. This study has indicated Kenya to be a likely customer. The annual cost of climatic shocks to Kenya alone is estimated at US$ 0.5 billion (2% of GDP). If not addressed, climate change will hamper progress towards Kenya's aim of being a middle income country by 2030.A recent market visit has confirmed that Kenyan authorities have a huge interest in satellite enabled forest monitoring products/services delivered via a smartphone app with a variety of interested stakeholders, amongst which:- Ministry of Environment and Kenyan Forest Services (National level)- Community Forestry Associations (Local level)- UNEP and UN FAO / REDD+ (International level)Our objective is to develop a mobile app allowing customers in Kenya to access a near-real-time, detailed information about forest cover change for their local area of interest. The accessible provision of this service has real value at the local scale as well as the national scale. To unlock the considerable potential for this service and commercialise our know how, we will develop a prototype and demonstrate it in market. We aim to create a joint venture or spin out company in collaboration with identified commercial partners in the areas of satellite imagery and technology development.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
Pyeo: A Python package for near-real-time forest cover change detection from Earth observation using machine learning
Pyeo:一个 Python 包,用于使用机器学习从地球观测中近乎实时地检测森林覆盖变化
DOI: 10.1016/j.cageo.2022.105192
发表时间: 2022
期刊: Computers & Geosciences
影响因子: 4.4
作者: [Roberts J]
通讯作者: Roberts J
DOI: 10.3390/rs14030707
发表时间: 2022-02
期刊: Remote. Sens.
影响因子: --
作者: [A. M. Pacheco-Pascagaza;Y. Gou;V. Louis;J. Roberts;P. Rodríguez-Veiga;P. C. Bispo;F. Espírito-Santo;C. Robb;C. Upton;G. Galindo;E. Cabrera;Indira Paola Pachón Cendales;M. Castillo-Santiago;Oswaldo Carrillo Negrete;Carmen Meneses;Marco Iñiguez;H. Balzter]
通讯作者: A. M. Pacheco-Pascagaza;Y. Gou;V. Louis;J. Roberts;P. Rodríguez-Veiga;P. C. Bispo;F. Espírito-Santo;C. Robb;C. Upton;G. Galindo;E. Cabrera;Indira Paola Pachón Cendales;M. Castillo-Santiago;Oswaldo Carrillo Negrete;Carmen Meneses;Marco Iñiguez;H. Balzter
DOI: 10.3390/rs8070577
发表时间: 2016-07
期刊: Remote. Sens.
影响因子: --
作者: [Ramesh K. Ningthoujam;K. Tansey;H. Balzter;K. Morrison;S. Johnson;F. Gerard;C. George;G. Burbidge;S. Doody;N. Veck;G. Llewellyn;T. Blythe]
通讯作者: Ramesh K. Ningthoujam;K. Tansey;H. Balzter;K. Morrison;S. Johnson;F. Gerard;C. George;G. Burbidge;S. Doody;N. Veck;G. Llewellyn;T. Blythe
DOI: 10.3390/rs12081235
发表时间: 2020-04-01
期刊: REMOTE SENSING
影响因子: 5
作者: [Anaya, Jesus A., Gutierrez-Velez, Victor H., Balzter, Heiko]
通讯作者: Balzter, Heiko
Self-Learning Digital Twins for Sustainable Land Management
  • 批准号:
    EP/Y00597X/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $317.55万
  • 财政年份:
    2023
  • 负责人:
    Heiko Balzter
  • 依托单位:
Programme Coordination Team, Landscape Decisions - Towards a new framework for using land assets
  • 批准号:
    NE/T002182/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $177.79万
  • 财政年份:
    2019
  • 负责人:
    Heiko Balzter
  • 依托单位:
A Radar Satellite Early-Warning System for Tropical Deforestation
  • 批准号:
    NE/M007839/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $1.03万
  • 财政年份:
    2014
  • 负责人:
    Heiko Balzter
  • 依托单位:
Impact of the drought in England on carbon dioxide fluxes from lowland peatland in the East Anglian fens across a land use gradient
  • 批准号:
    NE/K001590/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $6.33万
  • 财政年份:
    2012
  • 负责人:
    Heiko Balzter
  • 依托单位:
海外基金