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Data release for it matters when you measure it: using snow-cover Normalised Difference Vegetation Index (NDVI) to isolate post-fire conifer regeneration

Dates

Publication Date
Start Date
1984-03-01
End Date
2017-12-31

Citation

Vanderhoof, M.K., and Hawbaker, T.J., 2019, Data release for it matters when you measure it: using snow-cover Normalised Difference Vegetation Index (NDVI) to isolate post-fire conifer regeneration: U.S. Geological Survey data release, https://doi.org/10.5066/P9UOBL50.

Summary

Landsat Normalised Difference Vegetation Index (NDVI) is commonly used to monitor post-fire green-up; however, most studies do not distinguish new growth of conifer from deciduous or herbaceous species, despite potential consequences for local climate, carbon and wildlife. We found that dual season (growing and snow cover) NDVI improved our ability to distinguish conifer tree presence and density. We then examined the post-fire pattern (1984–2017) in Landsat NDVI for fires that occurred a minimum of 20 years ago (1986–1997). Points were classified into four categories depending on whether NDVI, 20 years post-fire, had returned to pre-fire values in only the growing season, only under snow cover, in both seasons or neither. We found [...]

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Points.zip 174.35 KB
Vanderhoof_Hawbaker_2018_IJWF_metadata.xml
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Purpose

The purpose of the analysis was to improve our ability to distinguish post-fire successional trajectories, in particular, distinguish conifer from deciduous species by pairing growing season with snow-cover Landsat greenness indices. The "cover_density_points" were used to characterize the dual-season spectral reflectance values for different conifer forest density and different vegetation cover types. These points were identifed from commercial high-resolution imagery.

Additional Information

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DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9UOBL50

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