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ZENODO
Dataset . 2020
Data sources: ZENODO
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ZENODO
Dataset . 2020
Data sources: Datacite
ZENODO
Dataset . 2020
Data sources: Datacite
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Claim

Fine-detailed coastal aquaculture pond dataset in China and Southeast Asia in 2020 at a 30 m resolution

Research datakeyboard_double_arrow_right Dataset 01 Jan 2020Publisher:Zenodo
Authors: Yufeng, Jiang; Jing, Li; Zhen, Zhang; Yi, Li;

doi: 10.5281/zenodo.8344131 , 10.5281/zenodo.10370830

Fine-detailed coastal aquaculture pond dataset in China and Southeast Asia in 2020 at a 30 m resolution

Abstract

We generate the inaugural map depicting the changes in aquaculture pond coverage across the coastal regions both of China and Southeast Asia, the hotspot of global aquaculture industry, in 2020 with fine spatial detail by utilizing the long time-series Landsat archive with an object-oriented hierarchical classification method.

Keywords

Aquaculture ponds

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    popularity
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    influence
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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