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Data Release: The effects of wildfire on snow water resources estimated from canopy disturbance patterns and meteorological conditions

Dates

Publication Date
Start Date
1981-09-01
End Date
2018-08-31

Citation

Moeser, C.D., and Shephard, Z.M., 2019, Data Release: The effects of wildfire on snow water resources estimated from canopy disturbance patterns and meteorological conditions: U.S. Geological Survey data release, https://doi.org/10.5066/P9BBCSVN.

Summary

This data release contains model input and output data associated with a published report (The effects of wildfire on snow water resources estimated from canopy disturbance patterns and meteorological conditions [Moeser, Broxton and Harpold, 2019]) where specific descriptions of the data can be found. The input data are derived from pre- and post-fire aerial LiDAR acquired in June 2010 and May 2012 respectively, for a small basin in the Jemez Mountains, northern, New Mexico. Data were process (analyzed?) to represent forest canopy characteristics pre- and post-fire. These characteristics include, (1) canopy closure, (2) edginess to the north, (3) edginess to the south, (4) leaf area index, (5) maximum tree height, (6) mean distance [...]

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Purpose

This is input and output data for model used in report (The effects of wildfire on snow water resources estimated from canopy disturbance patterns and meteorological conditions [Moeser, Broxton and Harpold, 2019]).

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Communities

  • National and Regional Climate Adaptation Science Centers
  • South Central CASC
  • USGS Data Release Products

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DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9BBCSVN

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