摘要
以衡水湖为研究对象,以无人机遥感技术为研究方法,开展了对衡水湖生态调查的研究。通过无人机可见光影像对植被信息进行了统计分类。针对可见光遥感记录地物信息的特点,提出了采用取样点像素比对的分类方法实现了对植被分类、植被覆盖度及各类植被所占面积比例的计算。同时还对衡水湖的鸟类进行了初步研究。针对鸟类的活动特点,采用热红外传感器与高清变焦相机相结合的方式,拍摄到了隐藏在枯草中休息的水鸟。研究表明,利用无人机遥感技术对衡水湖进行生态调查,具有很大的优势,可以弥补人工调查的不足,同时节省人力,方法快速便捷。
Taking Hengshui Lake as an example, the ecological investigation of Hengshui Lake is carried out with unmanned aerial vehicle(UVA) remote sensing. The vegetation information is classified by the visible remote sensing technology of UAV. According to the characteristics of visible remote sensing, a classification method based on pixel comparison of sampling points is proposed. It realizes the classification of vegetation, calculation of the total areas and proportion of vegetation coverage. At the same time, the birds in Hengshui Lake are investigated. Based on the characteristics of birds, a waterfowl resting in the hay was photographed by way of combining infrared sensor with the high-definition zoom camera. The research shows that UVA remote sensing technology has great advantages in ecological investigation of Hengshui Lake. It can make up for the shortage of manual investigation, save manpower and get the work done quickly.
引文
[1]面向植被识别的无人机图像处理关键技术研究[D].成都:成都理工大学,2016.
[2]轻小型无人机低空遥感及其在生态学中的应用进展[J].应用生态学报,2017,28(2):528-536.
[3]闫光英.冀之美景衡水湖[J].国土绿化,2013(3):47-47.
[4]郑博颖,郑云翔,芦站根.衡水湖沉水植物对水中氧含量及水质影响[J].湖北农业科学,2011,50(8):1551-1552.
[5]孟德荣,王保志,杨静利.河北衡水湖鸭科鸟类调查[J].沧州师范学院学报,2015(1):84-87.
[6]刘海鹏,卢艳敏,梁魁景.衡水湖鸟类资源调查及其利用保护[J].现代农村科技,2017(12):91-91.
[7]基于无人机的大型食草动物调查研究[D].兰州:兰州大学,2018.