基于无人机遥感的火龙果种植面积监测方法研究  

Study on monitoring method of pitaya planting area based on UAV remote sensing

作　　者：陈智虎 刘春艳 童倩倩 赵泽英[1] 许元红 CHEN Zhi-hu;LIU Chun-yan;TONG Qian-qian;ZHAO Ze-ying;XU Yuan-hong(Institute of Science and Technology Information,Guizhou Academy of Agricultural Sciences,Guiyang 550006,China)

机构地区：[1]贵州省农业科学院科技信息研究所,贵阳550006

出　　处：《湖北农业科学》2022年第3期152-155,共4页Hubei Agricultural Sciences

基　　金：贵州省农业科学院青年基金项目[黔农科院青年基金(2019)19号];贵州省科学技术基金项目[黔科合基础-ZK(2021)一般130号];贵州省科技计划项目[黔科合服企(2021)15号]。

摘　　要：为厘清火龙果种植面积情况,利用低空无人机搭载多光谱传感器,对望谟县乐元镇拉么村火龙果基地进行数据采集,采用最大似然法提取火龙果种植区域和计算面积。研究表明,在进行植被指数计算时,火龙果植被指数为0.4~0.6,多光谱影像上纹理比较明显,周边以杂草为主,杂草的植被指数为0.2~0.4,能够较好地区分火龙果和杂草;结合植被指数和火龙果纹理特征,利用最大似然法提取火龙果种植区域和计算面积,提取的精度达88.4%,研究区火龙果种植面积约为55000 m^(2)。In order to clarify the planting area of pitaya,a low altitude UAV equipped with multispectral sensors was used to collect data from the pitaya base in Lamo village,Leyuan town,Wangmo county,and the Maximum likelihood method was used to extract the planting area and calculate the area of pitaya.The result showed that when calculating the vegetation index,the vegetation index of pitaya ranges from 0.4 to 0.6.The texture was obvious on the multispectral image.The periphery was dominated by weeds,and the vegetation index of weeds ranges from 0.2 to 0.4,which could better distinguish pitaya from weeds;Combined with vegetation index and pitaya texture features,the Maximum likelihood method was used to extract pitaya planting area and calculate the area.The extraction accuracy was 88.4%,and the pitaya planting area in the study area was about 55000 m^(2).

关 键 词：无人机遥感 火龙果 面积 望谟县 

分 类 号：P283.8[天文地球—地图制图学与地理信息工程]