Early Monitoring Dataset for Pine Wilt Disease (PWD)

This dataset contains close-range, time-series hyperspectral data, disease progression data, and high-definition RGB photographs acquired following the artificial inoculation of pine trees with the pine wood nematode. This study primarily utilized these data to conduct early dynamic monitoring of Pine Wilt Disease (PWD), to elucidate the dynamic patterns of its early development, and to determine the optimal timing for early detection.The dataset is composed of two main parts: code and data. The code section includes scripts for time-series sensitivity analysis, Mann-Kendall (M-K) trend and change-point detection, time-series analysis based on chromaticity indicators, and time-series correlation analysis between disease progression and typical spectral indicators. The data section primarily includes: the basic sample data used to calculate the Average Time-series Sensitivity Index (ATSI); the basic sample data for the M-K trend and change-point tests; on-site high-definition RGB photographs and their corresponding HSV space standard data; and the measured data of PWD infection progression.