Remote Sensing Technology for The Identification and Classifiation or Urban Trees

城市树木识别分类遥感技术

• 批准号: 2581890
• 金额: --
• 依托单位: The Open University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2581890
• 关键词: Remote; Sensing; Technology; Identification; Classifiation

UN projections show that by 2050, nearly 70% of the world's population is expected to live in urban areas; over 80% of the UK population is already urban. The health and wellbeing of this increasing urban population is a key global challenge of the 21st century. Urban trees are a critical component of urban green infrastructure that contribute to the health and wellbeing of the urban population through their role in, for example, mitigating climate change impacts and pollution reduction. Information on the species, size and health of urban trees is necessary for local authorities to manage their green infrastructure and associated ecosystem service provision. However, this information is lacking for most local authorities, and the scale of the challenge of collecting the data on the ground, and keeping it current, is beyond the resources of increasingly constrained budgets. Tools for remotely collecting this information will prove invaluable to local governments in the UK, with potential application further afield

联合国预测显示，到2050年，世界上近70%的人口预计将生活在城市地区；超过80%的英国人口已经居住在城市。不断增加的城市人口的健康和福祉是21世纪的一项重大全球挑战。城市树木是城市绿色基础设施的重要组成部分，通过其在缓解气候变化影响和减少污染等方面的作用，有助于城市人口的健康和福祉。关于城市树木的种类、大小和健康状况的信息对于地方当局管理其绿色基础设施和提供相关的生态系统服务是必要的。然而，大多数地方当局缺乏这方面的信息，在实地收集数据并使其保持最新的挑战规模超出了日益紧张的预算资源。远程收集这些信息的工具将被证明对英国地方政府来说是无价的，并有可能在更远的地方得到应用