Airborne Lidar and Machine Learning Reveal Decreased Snow Depth in Burned Forests
Koshkin, Arielle; Marshall, Adrienne;
Airborne Lidar and Machine Learning Reveal Decreased Snow Depth in Burned Forests
This workflow requires access to the following datasets: Airborne Snow Observatory, Inc. (ASO): https://data.airbornesnowobservatories.com/ Tree Canopy Cover (NLCD): https://www.mrlc.gov/data SNODAS: https://nsidc.org/data/g02158/versions/1 (accessed using SNODASR) Monitoring Trends in Burn Severity (MTBS): https://mtbs.gov/ Packages in R include: XGBoost mlr3verse SNODASR elevatR patchwork terra tidyverse furrr readr vroom
- Colorado School of Mines United States
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selected citations
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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).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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