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Image . 2024
License: CC BY SA
Data sources: ZENODO
ZENODO
Image . 2024
License: CC BY SA
Data sources: Datacite
ZENODO
Image . 2024
License: CC BY SA
Data sources: Datacite
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GIS CCI+ SGL - extent / depth, validation sample

appsOther research productkeyboard_double_arrow_right Image 09 Dec 2024Publisher:Zenodo
Authors: Hay, Jacob;

doi: 10.5281/zenodo.14332325 , 10.5281/zenodo.14332324

GIS CCI+ SGL - extent / depth, validation sample

Abstract

Combined extent and depth prediction of supra-glacial lakes (SGL) generated in the GIS CCI+ project. Provided here are the validation samples of the experimental Deep Learning approach to generating a combined volume SGL product from phase 2 of the GIS CCI+. 

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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