Monthly HLS Time Series & Multi-Index LandTrendr Outputs for Eucalyptus Age Mapping

This dataset contains the core data supporting the manuscript"Eucalyptus Plantation Stand Age Inversion Using Monthly HLS Time Series and Multi-Index Integrated Improved LandTrendr Algorithm".All files are openly shared under a CC BY 4.0 license. Contents: 1. Fusion_202412.tif- Monthly fused HLS (Landsat–Sentinel) imagery for December 2024.- Provided as a Cloud-Optimized GeoTIFF with surface reflectance indices for further analysis. 2. Study Area.zip- Boundary of the study area (Luzhai County, Guangxi, China).- Provided as a zipped shapefile/GeoPackage including projection information. 3. samples_all.geojson- Training and reference samples for eucalyptus plantation classification and stand age inversion.- Includes both training points and validation points, stored as GeoJSON with geographic coordinates. 4. Verification Point.zip- Independent validation points for disturbance detection and stand age mapping accuracy assessment.- Provided as a zipped shapefile package. 5. classified_dec2024.tif- Classification result for December 2024, showing eucalyptus plantation distribution.- Raster map in GeoTIFF format. 6. yod_fused.tif- Final fused Year of Disturbance (YOD) output generated from the improved LandTrendr algorithm.- Represents detected disturbance events and derived stand ages across the study area. All rasters are provided in GeoTIFF format with defined spatial reference systems.Vector data are provided in GeoJSON or zipped shapefile formats.Together, these data allow full replication of the results, including training, classification, disturbance detection, and stand age inversion.