Development and Evaluation of a Low-Cost Process to Support Vegetation Classification Using Unmanned Aerial Vehicles

使用无人机支持植被分类的低成本流程的开发和评估

• 批准号: 537866-2018
• 负责人: Joseph, Alain
• 金额: $ 1.82万
• 依托单位: Nova Scotia Community College
• 依托单位国家: 加拿大
• 项目类别: Applied Research and Development Grants - Level 1
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=680467
• 关键词: Development; Evaluation; Low; Cost; Process

East Coast Aquatics is a Nova Scotia based biological consulting firm that specializes in conducting wetland and stream habitat assessment and monitoring, designing and implementing restoration of habitats, and assessing and monitoring the biological communities of plants, turtles, fish and micro-invertebrates. Vegetation classification is the process of classifying and mapping the vegetation in an area of interest. The traditional method for surveying a vegetation site requires a sampling approach using a number of quadrats deployed throughout the study area. A quadrat is a frame that is used to mark out a specific area to be sampled. The issue East Coast Aquatics is having is that conducting these manual assessments are time consuming and labor intensive, occur in remote areas, can disturb the habitat, and the accuracy of the assessment varies based on the number of sampling points used to represent the entire area. As a result, East Coast Aquatics would like to collaborate with NSCC's Centre of Geographic Sciences Applied Research to explore the potential for using Unmanned Aerial Vehicles to improve the quality and efficiency of vegetation classification. This project will explore cost effective approaches to all stages of the classification process including data collection, image processing and image classification.

East Coast Aquatics 是一家位于新斯科舍省的生物咨询公司，专门从事湿地和溪流栖息地评估和监测，设计和实施栖息地恢复，以及评估和监测植物、海龟、鱼类和微型无脊椎动物的生物群落。植被分类是对感兴趣区域中的植被进行分类和绘制地图的过程。调查植被地点的传统方法需要使用在整个研究区域部署的多个样方的采样方法。样方是用于标记要采样的特定区域的框架。东海岸水上运动公司面临的问题是，进行这些手动评估既耗时又费力，而且发生在偏远地区，可能会扰乱栖息地，而且评估的准确性根据代表整个区域的采样点数量而变化。因此，East Coast Aquatics 希望与 NSCC 地理科学应用研究中心合作，探索使用无人机提高植被分类质量和效率的潜力。 该项目将探索分类过程所有阶段的成本有效的方法，包括数据收集、图像处理和图像分类。