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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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Claim

A 30-meter terrace mapping in China using Landsat 8 imagery and digital elevation model based on the Google Earth Engine

Research datakeyboard_double_arrow_right Dataset 16 Jun 2020Publisher:Zenodo
Authors: Bowen Cao; Le Yu; Victoria Naipal; Philippe Ciais; Wei Li; Yuanyuan Zhao; Wei Wei; +3 Authors

doi: 10.5281/zenodo.5541065 , 10.5281/zenodo.3895584 , 10.5281/zenodo.3895585

A 30-meter terrace mapping in China using Landsat 8 imagery and digital elevation model based on the Google Earth Engine

Abstract

This dataset contains the China terrace map at 30 m resolution in 2018. The map values and their corresponding classes are as follows: 0: Non-terrace 1: Terrace 255: No data The 30 m China terrace map can also be viewed online at https://cbw.users.earthengine.app/view/chinaterracemap Citations: When using this dataset, please cite both the dataset and the following data description article: Cao, B., Yu, L., Naipal, V., Ciais, P., Li, W., Zhao, Y., Wei, W., Chen, D., Liu, Z., and Gong, P.: A 30 m terrace mapping in China using Landsat 8 imagery and digital elevation model based on the Google Earth Engine, Earth Syst. Sci. Data, 13, 2437–2456, https://doi.org/10.5194/essd-13-2437-2021, 2021.

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Keywords

China, supervised classification, soil erosion, terrace, map, DEM, Google Earth Engine, Landsat

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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!
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