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License: CC BY
Data sources: ZENODO
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Image . 2024
License: CC BY
Data sources: Datacite
ZENODO
Image . 2024
License: CC BY
Data sources: Datacite
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USGS National Elevation Dataset (NED) DEM reprojected into Collection 2 Landsat analysis ready data (ARD) tiles

Authors: Zhang, Hankui;

USGS National Elevation Dataset (NED) DEM reprojected into Collection 2 Landsat analysis ready data (ARD) tiles

Abstract

This dataset is used to test the Classifying the raw irregular time series (CRIT) codes and model for CONUS land cover classification with a deep learning model that can directly classify Landsat irrigular time series. See the code here https://github.com/hankui/CRIT

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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