"A UAV-Based Multispectral and RGB Dataset for Multi-Stage Paddy Crop Monitoring"

"This dataset presents a large-scale UAV-based RGB and multispectral image collection acquired over paddy agricultural fields in the Vijayawada region of Andhra Pradesh, India, covering the complete crop growth cycle from nursery to harvest during the Kharif season. Data were captured using a 20-megapixel RGB camera and a four-band multispectral sensor operating in the Green, Red, Red-Edge, and Near-Infrared bands, achieving a high spatial resolution of approximately 1 cm per pixel ground sampling distance. The dataset comprises 42,430 raw images (approximately 415 GB) collected over a total area of 5 acres and is accompanied by rich metadata, including GNSS-based geolocation, acquisition timestamps, flight altitude, illumination conditions, weather parameters, and sensor calibration details. The dataset finds its applications in precision agriculture, such as crop health assessment, growth-stage monitoring, stress and disease detection, and vegetation index analysis."

本数据集收录了一套大规模的无人机（Unmanned Aerial Vehicle, UAV）载红-绿-蓝（RGB）与多光谱图像集，采集自印度安得拉邦维杰亚瓦达地区的稻田农田，涵盖哈里夫种植季（Kharif season）中从育苗到收获的完整作物生长周期。数据采集采用2000万像素RGB相机与工作于绿、红、红边及近红外波段的四波段多光谱传感器，实现了约1厘米每像素的高地面采样距离（Ground Sampling Distance, GSD）空间分辨率。本数据集包含42,430幅原始图像（总容量约415 GB），采集覆盖总面积达5英亩，并附带丰富的元数据，包括基于全球导航卫星系统（Global Navigation Satellite System, GNSS）的地理定位信息、采集时间戳、飞行高度、光照条件、气象参数以及传感器校准细节。该数据集可应用于精准农业（Precision Agriculture）领域，例如作物健康评估、生育期监测、胁迫与病害检测以及植被指数分析。