Advances in Statistical Climatology, Meteorology and Oceanography
Advances in Statistical Climatology, Meteorology and Oceanography
ASCMO
Articles | Volume 12, issue 1
Articles | Volume 12, issue 1
https://doi.org/10.5194/ascmo-12-111-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ascmo-12-111-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 12, issue 1
07 Apr 2026
 | 07 Apr 2026

Robust doubly censored Weibull modelling of NDVI-based burn-scar persistence in satellite time series

Nora Khalil

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Short summary

Wildfires leave scars on the land that slowly fade as vegetation grows back. Using long records of satellite images from Alaska, we measured how long burned areas remain visibly damaged and built a statistical model to describe their recovery. We find that most areas recover in about three years, while some remain scarred for five to six years. Our approach can be reused to track recovery after other environmental disturbances.

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