Developing agricultural climate change adaptation analysis methodologies for Unmanned Aerial Vehicles

开发无人机农业气候变化适应分析方法

• 批准号: 488311-2015
• 负责人: Smukler, Sean
• 金额: $ 1.81万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=586191
• 关键词: Developing; agricultural; climate; change; adaptation

Managing both drainage and irrigation in agricultural systems will be an increasing challenge as weather becomes more unpredictable and volatile due to global climate change. UAVs could offer a tool that enables rapid deployment and observation of large tracts of land. This project will establish a suite of methodologies to enable the rapid analysis and interpretation of extremely high resolution UAV data into farm management ready information. The specific objectives of the project are to 1. Collect ground and remote sensing data at multiple field sites during the wet and dry season; 2. Parameterize and validate remote sensing data with ground data to establish spatially contiguous predictive models for field water dynamics and crop productivity; 3. Provide a clear methodology that can be utilized by UAV operators. To accomplish these objectives Spire Aerobotics Inc. will work with a team from the University of British Columbia's Sustainable Agricultural Landscapes (SAL) Laboratory to collect and analyze data from farm fields in Delta, British Columbia (BC). Given climate change predictions, Canadian farmers will have an opportunity expand their role in global food production if they are able to cope with increasingly unpredictable and volatile weather. Developing UAV methodologies for better managing drainage and irrigation will help farmers across Canada improve their capacity to adapt to these conditions which will likely have important implication for the sustainability of their production and economic returns. With this methodology development UAV technology could be particularly important in places like Delta with fine textured soils and the extensive regions of Canada where drainage and irrigation are currently being used.

随着天气的变化，农业系统的排水和灌溉管理将成为一个越来越大的挑战。 由于全球气候变化，变得更加不可预测和不稳定。无人机可以提供一种工具， 快速部署和观察大片土地。该项目将建立一套方法， 能够快速分析和解释极高分辨率的无人机数据，用于农场管理 准备信息。该项目的具体目标是1。收集地面和遥感数据， 在雨季和旱季的多个现场; 2.参数化和验证遥感数据 利用地面数据建立空间连续的田间水分动态和作物生产力预测模型; 3.为无人机操作员提供清晰的方法。为了实现这些目标，Spire 航空机器人公司将与来自不列颠哥伦比亚省大学的可持续农业研究小组合作， 景观（SAL）实验室收集和分析来自不列颠哥伦比亚省（BC）三角洲农田的数据。 考虑到气候变化的预测，加拿大农民将有机会扩大他们在全球粮食中的作用 如果他们能够科普日益不可预测和多变的天气，他们的生产将受到影响。发展无人机 更好地管理排水和灌溉的方法将帮助加拿大各地的农民提高他们的 适应这些条件的能力，这些条件可能对其可持续性产生重要影响。 生产和经济效益。有了这种方法，无人机技术的发展将特别 重要的地方，如三角洲与细质地的土壤和加拿大的广泛地区，排水和 目前正在进行灌溉。