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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Tidal Channels in the Yellow River Estuary

Authors: Li, Peng; Li, Shu; Li, Zhenhong; Liang, Cunren; Wang, Houjie;

Tidal Channels in the Yellow River Estuary

Abstract

Coastal tidal channels in 2022 extracted from GF-3 and planetscope in the Yellow River Estuary. This repository supports the paper published below. Please refer to the following citation when using the datasets. [1] Li, P., Li, S., Li, Z., Liang, C., & Wang, H. (2024). Detailed detection and extraction of estuarine tidal channels with multispectral and full-polarised SAR remote sensing. Earth Surface Processes and Landforms, 49(12), 3968-3988. https://doi.org/https://doi.org/10.1002/esp.5950 Contact person: Dr. Peng Li (pengli@ouc.edu.cn).

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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