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. 2024 Nov 20;5(1):721. doi: 10.1038/s43247-024-01893-8

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Fig. 1 — a Spatially continuous 1 km resolution map of GEDI-derived canopy heights (RH98) across three Californian study regions and 42 wildfires from 2019-2021. b August Complex fire with MTBS severity classes. c GEDI footprint sampling prior to Caldor fire, where each 25 m GEDI footprint is colored by its spatial blocking group which controls for spatial autocorrelation among proximate samples.