Data Set

 

FIRED CONUS: Daily Öffentlichkeit Deposited

https://scholar.colorado.edu/concern/datasets/765372341
Abstract
  • This dataset is out of date and are preserved for its connection to Balch et al 2020. The more current versions that will be regularly updated are FIRED CONUS + AK (https://scholar.colorado.edu/concern/datasets/d504rm74m) or FIRED US Canada (https://scholar.colorado.edu/concern/datasets/8336h304x)



    This is the daily level polygons for the FIRED events product for the coterminous United States. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v006/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. We converted these rasters into events by stacking the entire time series into a spatial-temporal data cube, then used an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. The primary benefit to this dataset over others is the ability to calculate fire spread rate. For each of these products (FIRED CONUS: events and FIRED CONUS: daily) the event identification numbers are the same, but the event-level product has only single polygons for the entire event, while the daily product has separate polygons for each date. See the accompanying metadata files for the statistics provided by each data set. See the associated paper (currently in review, preprint DOI: https://doi.org/10.32942/osf.io/nkzpg) for more details on the methods and more.

Creator
Date Issued
  • 2020-08-05
Academic Affiliation
Subject
Publisher
Zuletzt geändert
  • 2021-08-26
Zugehörige URL
Resource Type
Urheberrechts-Erklärung
Date Available
  • 2020-08-05
DOI
Peer Reviewed
Language
Citation
  • Balch, J., St. Denis, L. A., Mahood, A. L., MietKiewicz, N. P., Williams, T., McGlinchy, J., & Cook, M. C. (2020, June 26). FIRED (Fire Events Delineation): An open, flexible algorithm & database of US fire events derived from the MODIS burned area product (2001-19). https://doi.org/10.32942/osf.io/nkzpg
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