Raw multispectral UAV imagery for winter wheat (Kaifeng, China) - 2024

This dataset contains raw multispectral UAV photographs acquired over winter wheat fields in Kaifeng, Henan Province, China, during the 2024 growing season. The data are provided as original camera outputs (raw photos) and are intended to support research on UAV–satellite fusion, vegetation-index time-series reconstruction, and crop phenology/anomaly analysis. Important notes:- The images are raw photographs and have NOT been radiometrically calibrated to surface reflectance (i.e., no radiometric/reflectance calibration was applied).- Users are expected to perform their own radiometric normalization / calibration if quantitative reflectance is required.- The dataset is suitable for deriving ROI-level vegetation indices (e.g., NDVI/EVI2) after appropriate preprocessing and quality control. Acquisition and organization:- Platform: UAV with a multispectral camera (sensor model: [DJI MAVIC 3M]).- Spatial reference: raw photos; georeferencing/orthomosaics are not provided in this release unless explicitly stated in the file documentation.- Time coverage: 2024-1-4 to 2024-6-30 (local time). Related resources:- Code and ROI-level time-series tables for reconstruction and baselines are available at: https://github.com/movjinghenu/UAV-T-LSTM/ Recommended use:- UAV–satellite fusion under irregular sampling- ROI-level NDVI trajectory reconstruction and structural evaluation- Event-window disturbance analysis (e.g., short-term environmental anomalies)