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Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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XJ_COTTON10: The 10-m cotton maps in Xinjiang, China during 2018-2021

Research datakeyboard_double_arrow_right Dataset 31 Oct 2022Publisher:Zenodo
Authors: Kang, Xiaoyan; Huang, Changping; Chen, Jing M; Lv, Xin; Wang, Jin; Zhong, Tao; Wang, Huihan; +6 Authors

doi: 10.5281/zenodo.7856467 , 10.5281/zenodo.10003274 , 10.5281/zenodo.7266100

XJ_COTTON10: The 10-m cotton maps in Xinjiang, China during 2018-2021

Abstract

The datasets will accompany the paper "The 10-m cotton maps in Xinjiang, China during 2018–2021". The datasets contain the 10-m cotton maps of Xinjiang (XJ_COTTON10) from 2018 to 2021. They were developed through supervised classification using high-quality in-field samples and multi-source remote sensing data on the Google Earth Engine (GEE) platform.

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selected citations
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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).
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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!
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