Multispectral UAV image and ground observation data set of leaf chlorophyll content and leaf area index of wheat in Gaocheng, Hebei Province

Name: Multispectral UAV image and ground observation data set of leaf chlorophyll content and leaf area index of wheat in Gaocheng, Hebei Province
Creator: College of Resources and Environment, University of Chinese Academy of Sciences; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing Normal University; School of Earth Sciences and Resources, China University of Geosciences; National Engineering Research Center for Satellite Remote Sensing Applications, Chinese Academy of Sciences
Published: 2024-12-17T00:00:00+08:00

科学数据银行2025-04-21 更新2026-04-23 收录

农业遥感监测

作物生理参数反演

数据链接：

https://www.scidb.cn/detail?dataSetId=a31250383c1640a791d122f0630c699d 数据链接链接失效反馈

官方服务：

资源简介：

The experimental area of this dataset is located in Gaocheng District, Shijiazhuang City, Hebei Province. Five unmanned aerial vehicle (UAV) flight experiments and synchronized measurements of leaf chlorophyll content (LCC) and leaf area index (LAI) were conducted during the 2024 wheat growing season. This dataset includes 5 drone multispectral images from March to June 2024 with a spatial resolution of 5-7cm, LCC in 480 wheat plots, and LAI in 451 wheat plots.

提供机构：

College of Resources and Environment, University of Chinese Academy of Sciences; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing Normal University; School of Earth Sciences and Resources, China University of Geosciences; National Engineering Research Center for Satellite Remote Sensing Applications, Chinese Academy of Sciences

创建时间：

2024-12-17