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Data release for Time series of high-resolution images enhances efforts to monitor post-fire condition and recovery, Waldo Canyon fire, Colorado, USA

Dates

Publication Date
Start Date
2011-08-07
End Date
2016-09-17

Citation

Vanderhoof, M.K., Burt, C.M., and Hawbaker, T.J., 2018, Data release for Time series of high-resolution images enhances efforts to monitor post-fire condition and recovery, Waldo Canyon fire, Colorado, USA: U.S. Geological Survey data release, https://doi.org.10.5066/P9NWJQJR.

Summary

Interpretations of post-fire condition and rates of vegetation recovery can influence management priorities, actions, and perception of latent risks from landslides and floods. In this study, we used the Waldo Canyon fire (2012, Colorado Springs, Colorado, USA) as a case study to explore how a time series (2011-2016) of high-resolution images can be used to delineate burn extent and severity, as well as quantify post-fire vegetation recovery. We applied an object-based approach to map burn severity and vegetation recovery using Worldview-2, 3, and QuickBird-2 imagery. The burned area was classified as 51% high, 20% moderate and 29% low burn-severity. Across the burn extent, the shrub cover class showed a rapid recovery, resprouting [...]

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Attached Files

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Burn_severity.zip 1.76 MB application/zip
Vegetation_timeseries.zip 11.62 MB application/zip
WaldoCanyonVegetationSeverity.xml
Original FGDC Metadata

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18.53 KB application/fgdc+xml

Purpose

The purpose of the analysis was to develop an approach to classify and track changes in vegetation type post-fire using high-resolution imagery. We classified burn severity, and vegetation recovery for a time series of high-resolution images over the Waldo Canyon fire, Colorado, USA. High-resolution (2 m) imagery is increasingly available and can be used to enhance our ability, relative to coarser resolution sources of imagery, to map fire characteristics and recovery.

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DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9NWJQJR

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