[HTML][HTML] Switching on the big burn of 2017

…, JT Abatzoglou, ME Cattau, NP Mietkiewicz… - Fire, 2018 - mdpi.com
Fuel, aridity, and ignition switches were all on in 2017, making it one of the largest and
costliest wildfire years in the United States (US) since national reporting began. Anthropogenic …

Spatiotemporal prediction of wildfire size extremes with Bayesian finite sample maxima

MB Joseph, MW Rossi, NP Mietkiewicz… - Ecological …, 2019 - Wiley Online Library
Wildfires are becoming more frequent in parts of the globe, but predicting where and when
wildfires occur remains difficult. To predict wildfire extremes across the contiguous United …

[HTML][HTML] FIRED (Fire Events Delineation): an open, flexible algorithm and database of US fire events derived from the MODIS burned area product (2001–2019)

JK Balch, LA St. Denis, AL Mahood, NP Mietkiewicz… - Remote Sensing, 2020 - mdpi.com
Harnessing the fire data revolution, ie, the abundance of information from satellites,
government records, social media, and human health sources, now requires complex and …

[HTML][HTML] All-hazards dataset mined from the US National Incident Management System 1999–2020

…, KC Short, K McConnell, MC Cook, NP Mietkiewicz… - Scientific data, 2023 - nature.com
This paper describes a dataset mined from the public archive (1999–2020) of the US
National Incident Management System Incident Status Summary (ICS-209) forms (a total of …

[HTML][HTML] All-hazards dataset mined from the US National Incident Management System 1999–2014

LA St. Denis, NP Mietkiewicz, KC Short, M Buckland… - Scientific data, 2020 - nature.com
This paper describes a new dataset mined from the public archive (1999–2014) of the US
National Incident Management System/Incident Command System Incident Status Summary …

Spatiotemporal prediction of wildfire extremes with Bayesian finite sample maxima

MB Joseph, MW Rossi, NP Mietkiewicz, AL Mahood… - bioRxiv, 2018 - biorxiv.org
Wildfires are becoming more frequent in parts of the globe, but predicting where and when
extreme events occur remains difficult. To explain and predict wildfire extremes across the …

[PDF][PDF] Understanding and predicting extreme wildfires in the contiguous United States

MB Joseph, MW Rossi, NP Mietkiewicz, AL Mahood… - Ecol. Appl, 2019 - researchgate.net
Wildfires are becoming more frequent in parts of the globe, but predicting where and when
extreme events occur remains difficult. To explain and predict wildfire extremes across the …

FIRED: Hawaii

EJ Lindrooth, NP Mietkiewicz, T Williams, LA St Denis… - scholar.colorado.edu
This is event-and daily-level polygons for the Fire event delineation (FIRED) product for Hawaii
from November 2001 to May 2021. It is derived from the MODIS MCD64A1 burned area …

FIRED NORTHERN EUROPE

J McGlinchy, NP Mietkiewicz, T Williams, LA St Denis… - scholar.colorado.edu
This is event-and daily-level polygons for the Fire event delineation (FIRED) product for
ICELAND, SWEDEN, NORWAY, and DENMARK from November 2001 to July 2021. It is derived …

FIRED ITALY

…, AL Mahood, JK Balch, T Williams, NP Mietkiewicz - scholar.colorado.edu
This is event-and daily-level polygons for the Fire event delineation (FIRED) product for ITALY
from November 2001 to July 2021. It is derived from the MODIS MCD64A1 burned area …