Fusion of multispectral imagery and spectrometer data in UAV remote sensing for precision farming

无人机遥感中多光谱图像和光谱仪数据的融合用于精准农业

• 批准号: 494762-2016
• 负责人: King, Douglas
• 金额: $ 1.82万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=603266
• 关键词: Fusion; multispectral; imagery; spectrometer; data

Remotely sensed imagery obtained from satellite systems has proven capabilities in agriculture management applications at a variety of scales from national and provincial crop type mapping to more regional application in crop condition/damage assessment, yield estimation and soil moisture monitoring. Satellite-based imagery, however, is limited by image resolution, cost, and flexibility. The highest resolution satellite imagery (~1.2 m multispectral pixels) is costly and appropriate image acquisition timing is not easy to achieve given cloud cover and competing imagery orders. Emerging uninhabited aerial vehicle (UAV) technologies are inexpensive and can be deployed quickly and flexibly by the user or through contracts. For precision agriculture applications at the individual farm scale, very high spatial resolution and temporal flexibility are required. Imaging sensors placed on UAVs can achieve pixel sizes of less than 10cm and data acquisition can be customized to farmers' needs.

从卫星系统获得的遥感图像已证明具有各种规模的农业管理应用能力，从国家和省级作物类型绘图到作物状况/损害评估、产量估计和土壤湿度监测等区域性应用。然而，基于卫星的图像受到图像分辨率、成本和灵活性的限制。最高分辨率的卫星图像（~1.2米多光谱像素）是昂贵的，适当的图像采集时间是不容易实现的云层覆盖和竞争的图像订单。新兴的无人驾驶飞行器（UAV）技术价格低廉，可以由用户或通过合同快速灵活地部署。对于个体农场规模的精准农业应用，需要非常高的空间分辨率和时间灵活性。安装在无人机上的成像传感器可以实现小于10厘米的像素尺寸，数据采集可以根据农民的需求进行定制。