2019年6月10日山东省蒙阴县苹果园无人机多光谱数据

为了从无人机遥感中获得精确的空间连续反射率，无人机数据需要与地面数据相结合。使用大江Matrice 600 Pro无人机携带传感器，以及鹦鹉红杉多光谱相机进行航空摄影。有4个多光谱带，分别为绿色(GRE：530~570 nm)、红色(红色：640~680 nm)、红边(REG：730~740 nm)和近红外(NIR：770~810 nm)。谱带的四个中心波长分别为550、660、735和790 nm。飞行高度为50m，多光谱遥感图像为WGS-84坐标。多光谱图像的地面空间分辨率为5 cm。共获得航拍区的292幅多光谱图像。

To acquire accurate spatially continuous reflectance via unmanned aerial vehicle (UAV) remote sensing, UAV-acquired data needs to be combined with ground-based datasets. A DJI Matrice 600 Pro UAV equipped with sensors and a Parrot Sequoia multispectral camera was used for aerial photography. The system encompasses four multispectral bands: green (GRE: 530–570 nm), red (RED: 640–680 nm), red-edge (REG: 730–740 nm), and near-infrared (NIR: 770–810 nm). The central wavelengths of these four bands are 550, 660, 735, and 790 nm, respectively. The flight altitude was set to 50 meters, and all multispectral remote sensing images adopted the WGS-84 coordinate system. The ground spatial resolution of the multispectral images was 5 cm. A total of 292 multispectral images of the aerial survey region were collected.

搜集汇总

背景与挑战

背景概述

该数据集是2019年6月10日采集于山东省蒙阴县野店镇苹果园的无人机多光谱遥感数据，使用大疆Matrice 600 Pro无人机搭载Parrot Sequoia多光谱相机获取，包含绿、红、红边和近红外四个波段，地面空间分辨率为5厘米，共292张图像。数据旨在支持基于多平台遥感和物联网感知的苹果生产精准优化管理研究，适用于农业可持续发展和粮食安全相关分析。