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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ZENODOarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Northeast ChinaShelterbelts Map10_(2019-2020)

Authors: Chen, Xu;

Northeast ChinaShelterbelts Map10_(2019-2020)

Abstract

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.

Related Organizations
Keywords

Remote Sensing Classification, Phenology, Sentinel-2, Farmland Shelterbelts

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average