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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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A Global Forest Burn Severity Dataset from Landsat Imagery (2003–2016)

Research datakeyboard_double_arrow_right Dataset 24 Oct 2023Publisher:Zenodo
Authors: He, Kang; Shen, Xinyi; Anagnostou, Emmanouil N;

doi: 10.5281/zenodo.10037628 , 10.5281/zenodo.10037629

A Global Forest Burn Severity Dataset from Landsat Imagery (2003–2016)

Abstract

Global Forest Burn Severity database provides information on the amounts of biomass that are consumed by wildfire between 2003 and 2016. Based on the Global Fire Atlas product, when and where forest fires occurred during that period are firstly determined and then overlay the available Landsat surface reflectance products to obtain pre-fire and post-fire normalized burn ratios (NBRs) for each burned pixel, designating the difference between pre-fire NBR and post-fire NBR as dNBR and the relative difference as RdNBR. The dNBR and RdNBR for each individual forest fire are saved as GeoTiff file.

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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