Repository for "Burn severity and post-fire weather are key to predicting time-to-recover from Australian forest fires"

Repository of supplement data files, code, and model fits to reproduce analyses and figures from "Burn severity and post-fire weather are key to predicting time-to-recover from Australian forest fires". in review at Earth's Future Sami W. Rifai, Martin G. De Kauwe, Rachael V. Gallaghe...

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Main Author: Rifai, Sami
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2022
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Online Access:https://doi.org/10.5281/zenodo.7074318
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spelling ftzenodo:oai:zenodo.org:7074318 2024-09-15T18:33:23+00:00 Repository for "Burn severity and post-fire weather are key to predicting time-to-recover from Australian forest fires" Rifai, Sami 2022-09-13 https://doi.org/10.5281/zenodo.7074318 unknown Zenodo https://doi.org/10.5281/zenodo.7074317 https://doi.org/10.5281/zenodo.7074318 oai:zenodo.org:7074318 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/other 2022 ftzenodo https://doi.org/10.5281/zenodo.707431810.5281/zenodo.7074317 2024-07-25T10:26:27Z Repository of supplement data files, code, and model fits to reproduce analyses and figures from "Burn severity and post-fire weather are key to predicting time-to-recover from Australian forest fires". in review at Earth's Future Sami W. Rifai, Martin G. De Kauwe, Rachael V. Gallagher, Lucas A. Cernusak, Patrick Meir, Andy J. Pitman Workflow overview: "eucalypt_fire_recovery.zip" and "data_general.zip" should be unzipped in the same directory to reproduce analyses and figures. Earth engine scripts located in "eucalypt_fire_recover/src/javascript_earth_engine/Oz_bushfire_recovery" need to be run first to extract remote sensing data. The paths in the Earth Engine scripts should reference folders in the path structure in "data_general". Other/Unknown Material sami Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
description Repository of supplement data files, code, and model fits to reproduce analyses and figures from "Burn severity and post-fire weather are key to predicting time-to-recover from Australian forest fires". in review at Earth's Future Sami W. Rifai, Martin G. De Kauwe, Rachael V. Gallagher, Lucas A. Cernusak, Patrick Meir, Andy J. Pitman Workflow overview: "eucalypt_fire_recovery.zip" and "data_general.zip" should be unzipped in the same directory to reproduce analyses and figures. Earth engine scripts located in "eucalypt_fire_recover/src/javascript_earth_engine/Oz_bushfire_recovery" need to be run first to extract remote sensing data. The paths in the Earth Engine scripts should reference folders in the path structure in "data_general".
format Other/Unknown Material
author Rifai, Sami
spellingShingle Rifai, Sami
Repository for "Burn severity and post-fire weather are key to predicting time-to-recover from Australian forest fires"
author_facet Rifai, Sami
author_sort Rifai, Sami
title Repository for "Burn severity and post-fire weather are key to predicting time-to-recover from Australian forest fires"
title_short Repository for "Burn severity and post-fire weather are key to predicting time-to-recover from Australian forest fires"
title_full Repository for "Burn severity and post-fire weather are key to predicting time-to-recover from Australian forest fires"
title_fullStr Repository for "Burn severity and post-fire weather are key to predicting time-to-recover from Australian forest fires"
title_full_unstemmed Repository for "Burn severity and post-fire weather are key to predicting time-to-recover from Australian forest fires"
title_sort repository for "burn severity and post-fire weather are key to predicting time-to-recover from australian forest fires"
publisher Zenodo
publishDate 2022
url https://doi.org/10.5281/zenodo.7074318
genre sami
genre_facet sami
op_relation https://doi.org/10.5281/zenodo.7074317
https://doi.org/10.5281/zenodo.7074318
oai:zenodo.org:7074318
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.707431810.5281/zenodo.7074317
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