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: University of Leicester
• 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
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FN017021%2F1
• 关键词: REDD+; Monitoring; Services; Satellite; Earth

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.

可持续发展目标（SDG）是一套通用的目标，目标和指标，联合国成员国将用于制定未来15年的议程和政策，今年早些时候在纽约达成一致。17项目标之一是“保护、恢复和促进陆地生态系统的可持续利用，可持续地管理森林，防治荒漠化，制止和扭转土地退化，制止生物多样性丧失”。根据全球碳项目，2004-2013年期间，森林砍伐和其他土地利用变化造成的二氧化碳排放量平均为3.3 Gt二氧化碳，占人类活动（化石燃料，水泥，土地利用变化）所有排放量的8%。迫切需要支持正在开展的旨在减少毁林和森林退化所致排放量的举措，以及参与式森林管理战略，以实现发展中国家森林的可持续管理和提高森林碳储存。国际倡议“减少毁林和森林退化造成的排放”（REDD+）旨在保护全球受威胁生态系统的碳储存和生物多样性。政策制定者、金融家和科学家已确定需要建立健全和客观的衡量、报告和核实系统，并认识到卫星技术是在所需时间尺度上定期监测世界森林的唯一途径。莱斯特大学正在寻求开发和演示一个用于Sentinel的近实时森林覆盖变化信息服务的原型，1号和2号卫星数据符合相关的国家森林定义，并通过智能手机应用程序以易于获取的报告格式直接提供给社区森林协会和国家机构。我们最初的重点是解决肯尼亚热带森林的管理问题，该国最近制定了一项雄心勃勃的气候变化行动计划。该服务原型将基于莱斯特大学在地球观测科学方面的国际知名专业知识，与肯尼亚的一家移动的技术开发商（UKALL Ltd）合作提供。市场研究已通过NERC探路者赠款进行，以评估从卫星获得全球近实时森林砍伐信息服务的可能性，将NERC CORSAR赠款的研究成果商业化。这项研究表明，肯尼亚是一个可能的客户。据估计，仅肯尼亚每年因气候冲击造成的损失就达5亿美元（占国内生产总值的2%）。如果不加以解决，气候变化将阻碍肯尼亚实现到2030年成为中等收入国家的目标。最近的一次市场访问证实，肯尼亚当局对通过智能手机应用程序与各种利益相关者提供的卫星森林监测产品/服务有着巨大的兴趣，其中包括：- 环境和肯尼亚林业部（国家一级）-社区林业协会（地方一级）-环境署和联合国粮农组织/降排+（国际水平）我们的目标是开发一个移动的应用程序，使肯尼亚的客户能够访问有关其感兴趣的当地森林覆盖变化的近实时详细信息。无障碍地提供这一服务在地方和全国都具有真实的价值。为了释放这项服务的巨大潜力并将我们的专业知识商业化，我们将开发一个原型并在市场上展示。我们的目标是在卫星图像和技术开发领域与确定的商业伙伴合作创建合资企业或分拆公司。

项目成果

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

Near Real-Time Change Detection System Using Sentinel-2 and Machine Learning: A Test for Mexican and Colombian Forests

• DOI: 10.3390/rs14030707
• 发表时间: 2022-02
• 期刊: Remote. Sens.
• 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

Mapping Forest Cover and Forest Cover Change with Airborne S-Band Radar

• DOI: 10.3390/rs8070577
• 发表时间: 2016-07
• 期刊: Remote. Sens.
• 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

Drivers of Forest Loss in a Megadiverse Hotspot on the Pacific Coast of Colombia

• 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

Tiger Habitat Quality Modelling in Malaysia with Sentinel-2 and InVEST

• DOI: 10.3390/rs16020284
• 发表时间: 2024-01
• 期刊: Remote. Sens.
• 作者: V. Louis;Susan E. Page;Kevin Tansey;Laurence Jones;Konstantina Bika;H. Balzter