
Description: This repository contains the 10-meter resolution spatial distribution maps of farmland shelterbelts in Northeast China from 2019 to 2023. The dataset was generated using the Shelterbelt Phenological Classification (SPC) framework, which integrates multi-dimensional phenological features derived from Sentinel-2 time-series imagery. File Structure & Abbreviations: The dataset includes raster maps, vector boundaries, sample data, and reference code: Shelterbelt_Maps_2019-2023: Contains the classification results (GeoTIFF). The filenames use the following region abbreviations: HLJ: Heilongjiang Province JL: Jilin Province LN: Liaoning Province DSM: Dongsimeng (The Eastern Four Leagues of Inner Mongolia) Code: Google Earth Engine (GEE) scripts used for classification (provided for reference purposes). Study_Area: Vector file (.shp) defining the boundary of the Northeast China study region. Sample_Points: Ground truth and reference sample data used for training and validation. Provided in both ESRI Shapefile (.shp) and CSV (.csv) formats. class.txt: Description of the 5 land cover categories used in the sample dataset.
Remote Sensing Classification, Phenology, Sentinel-2, Farmland Shelterbelts
Remote Sensing Classification, Phenology, Sentinel-2, Farmland Shelterbelts
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