remote-sensing-resistance  /

Wildfire severity, vegetation characteristics, and regional climate for fires covering more than 4 hectares burning in yellow pine/mixed-conifer forests of the Sierra Nevada, California, USA from 1984 to 2018

Contributors:
  1. Stephen E. Fick
  2. Chhaya M. Werner

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Data

Description: Remotely-measured wildfire severity, vegetation characteristics, and regional climate conditions of 1090 wildfires that burned in yellow pine/mixed-conifer forest in the Sierra Nevada mountain range of California, USA between 1984 and 2018.

License: CC-By Attribution 4.0 International

Wiki

We used Google Earth Engine (https://earthengine.google.com/) to fetch and manipulate data from the Landsat series of satellites (30m spatial resolution; https://www.usgs.gov/land-resources/nli/landsat) and the gridMET meteorological product (4km spatial resolution; http://www.climatologylab.org/gridmet.html) to create this raster dataset of wildfire severity, vegetation characteristics, and regio...

Files

Loading files...

Citation

Tags

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.