IDR: Development of a Monitoring System Using UAVs for Forest Management

IDR：开发使用无人机进行森林管理的监测系统

• 批准号: 1015066
• 负责人: Swaroop Darbha
• 金额: $ 42.5万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-15 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1015066&HistoricalAwards=false
• 关键词: IDR; Development; Monitoring; System; Using

The objective of this proposal is to develop novel algorithms that are required to deploy unmanned aerial vehicles for better understanding the structure of forest ecosystems in relation to fire risk assessment. The algorithms will enable unmanned aerial vehicles to assist in identifying high fire-risk regions in a given area, aid fire managers to monitor and respond to fire propagation in real-time and map large areas for post-fire assessment. The approach is to 1) develop algorithms for creating surface fuel maps using tools by remote sensing, 2) develop approximation algorithms and heuristics to efficiently allocate the resources and plan the motion of the vehicles such that the regions that need to be monitored are visited within a desired time. Intellectual Merit: With regards to remote sensing, the proposed methods will provide an affordable way of obtaining precise estimates of forest surface and canopy fuels that is currently not available. With regards to resource allocation and motion planning, the methods will advance the state of art in the development of fast, sub-optimal algorithms. Broader impacts: Fire managers will be able to swiftly identify high fire-risk regions in a given area using the developed tools and efficiently respond to fire propagation in real-time. Controlled burning has ecological, societal and economic benefits: enhanced ecological processes in fire-dependent ecosystems, abated risk of catastrophic fires, reduced property damage and loss of life. This project will provide an opportunity for students to learn tools from diverse disciplines and valuable teaching material for courses in remote sensing and robotics.

本提案的目标是开发新的算法，这些算法需要部署无人机，以便更好地了解与火灾风险评估相关的森林生态系统结构。该算法将使无人机能够协助识别给定区域内的高火灾风险区域，帮助火灾管理人员实时监控和响应火灾传播，并绘制大面积地图以进行火灾后评估。该方法是：1)开发算法，利用遥感工具创建地面燃料地图；2)开发近似算法和启发式方法，以有效地分配资源和规划车辆的运动，以便在期望的时间内访问需要监测的区域。知识价值：关于遥感，拟议的方法将提供一种负担得起的方法，以获得目前无法获得的森林表面和树冠燃料的精确估计。在资源分配和运动规划方面，这些方法将推动快速、次优算法的发展。更广泛的影响：火灾管理人员将能够使用开发的工具快速识别给定区域的高火灾风险区域，并有效地实时响应火灾传播。控制燃烧具有生态、社会和经济效益：增强依赖火灾的生态系统的生态过程，减少灾难性火灾的风险，减少财产损失和生命损失。该项目将为学生提供学习不同学科的工具和宝贵的遥感和机器人课程教材的机会。