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Accuracy of spectral indices assessing fire severity utilizing maximum and minimum pixel values

Edith Cowan University
David Blake (Aggregated by) Eddie van Etten (Aggregated by) Jarrad McKercher (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25958/7bwg-kn79&rft.title=Accuracy of spectral indices assessing fire severity utilizing maximum and minimum pixel values&rft.identifier=10.25958/7bwg-kn79&rft.publisher=Edith Cowan University&rft.description=This data set contains all Spectral Indices created using Google Earth Engine through Google Collaborate. 16 Spectral Indices were created that utilise different image collection and pixel value parameters to map the burn severity of the 2021 Wooroloo Bushfire.&rft.creator=David Blake&rft.creator=Eddie van Etten&rft.creator=Jarrad McKercher&rft.date=2023&rft_rights= http://creativecommons.org/licenses/by/4.0/&rft_subject=Spectral Indices&rft_subject=Remote Sensing&rft_subject=dNBR&rft_subject=RdNBR&rft_subject=RBR&rft_subject=CSI&rft_subject=Random Forest&rft_subject=OZCBI&rft_subject=Computer Sciences&rft_subject=Environmental Sciences&rft.type=dataset&rft.language=English Access the data
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Contact Information

j.mckercher@ecu.eu.au

Full description

This data set contains all Spectral Indices created using Google Earth Engine through Google Collaborate. 16 Spectral Indices were created that utilise different image collection and pixel value parameters to map the burn severity of the 2021 Wooroloo Bushfire.

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Subjects
CSI | Computer Sciences | Environmental Sciences | OZCBI | RBR | Random Forest | RdNBR | Remote Sensing | Spectral Indices | dNBR |

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