香蕉枯萎病无人机多光谱影像数据集

A dataset of UAV multispectral images for a banana Fusarium wilt survey

香蕉枯萎病被称为香蕉“癌症”,目前已严重威胁着全球香蕉生产。及时精准地识别香蕉枯萎病植株对疫株除治及农业种植结构优化调整具有重要意义。为探究香蕉枯萎病的无人机遥感识别方法,本研究在广西隆安县的一个香蕉种植农场,选择有香蕉枯萎病发生的区域,获取了香蕉枯萎病遥感综合实验数据,经过整理和预处理制作了本数据集。本数据集包含了无人机多光谱反射率数据和香蕉枯萎病发生状况地面样点调查数据,无人机多光谱影像数据采集时天气晴朗、无云且光照充足,飞行高度120 m,空间分辨率8 cm/pixel;香蕉枯萎病发生状况样点调查采用过高精度手持GPS单元进行样点经纬度信息采集,并在室内将地面调查样点位置与无人机影像上对应香蕉植株的中心位置进行匹配。本数据集的无人机多光谱影像数据空间分辨率高,地面样点调查数据准确,可应用于香蕉枯萎病无人机遥感识别与监测相关研究,对促进农作物病害遥感监测研究及应用具有重要意义。

Banana Fusarium wilt,also known as"banana cancer",currently poses a significant threat to banana production worldwide.Timely and accurate identification of Fusarium wilt disease is crucial for effective disease control and optimizing agricultural planting structure.To explore the use of unmanned aerial vehicle(UAV)remote sensing for identifying banana wilt disease,in this study,we obtained comprehensive experimental data on wilted banana plants in a banana plantation in Long'an County,Guangxi.The dataset includes UAV multispectral reflectance data and ground survey data on the incidence of banana wilt disease.The UAV multispectral imagery was acquired under clear,cloud-free,and well-illuminated weather conditions,at a flying altitude of 120 meters with a spatial resolution of 8 cm/pixel.The ground sample points survey on the occurrence of banana wilt disease was conducted using a high-precision handheld GPS unit to collect latitude and longitude information for each sample point,and the positions were matched with the corresponding center positions of banana plants in the UAV imagery indoors.The dataset provides high-spatial-resolution UAV multispectral imagery data and accurate ground sample point survey data.It can be applied in the research and monitoring of UAV remote sensing identification and surveillance of banana wilt disease.It plays a crucial role in advancing research and application of remote sensing monitoring for agricultural crop diseases.