利用无人机遥感技术提取农作物植被覆盖度方法研究

基于无人机的遥感信息获取技术已广泛应用在农业领域。无人机遥感平台获取农作物信息技术具有高时效、高分辨率、低成本、快速、准确等特点,是目前精准农业中农田信息获取的重要手段之一。利用无人机遥感技术获取可见光影像,以棉花、花生和玉米为研究对象,选取不同的植被指数进行可见光图像阈值分割,结合研究区域可见光影像监督分类结果,确定3种作物提取植被覆盖度方法。试验结果表明,利用无人机可见光图像植被指数阈值分类方法,可以有效提取作物植被覆盖度。该方法对于棉花、花生和玉米3种作物植被覆盖信息的提取精度较高。

Research on the Method of Extracting Crop Vegetation Coverage Using UAV Remote Sensing Technology

Remote sensing information acquisition technology based on unmanned aerial vehicle (UAV) has been widely used in agriculture. The use of drone platform to obtain crop remote sensing information is one of the most important methods of obtaining farmland information in precision agriculture. It is characterized by high aging, high resolution, low cost, fast and accurate. UAV remote sensing technology is used to obtain visible light image, cotton, peanut and maize were selected as research materials, different vegetation indices were selected for visible image threshold segmentation. Combined with the supervised classification results of visible light images in the study area, the method of extracting vegetation coverage from vegetation indices of three crops was determined. The experimental results showed that the vegetation index coverage could be effectively extracted using vegetation index threshold classification method. The verification results showed that the method has high precision for extracting vegetation cover information from cotton, peanut and maize.