Maxwell Cook

ORCID: 0000-0003-4865-5025
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About
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Research Areas
  • Fire effects on ecosystems
  • Disaster Management and Resilience
  • Remote Sensing and LiDAR Applications
  • Fire dynamics and safety research
  • Remote Sensing in Agriculture
  • Landslides and related hazards
  • Innovation, Sustainability, Human-Machine Systems
  • Big Data and Business Intelligence
  • Injury Epidemiology and Prevention
  • Fire Detection and Safety Systems
  • Tropical and Extratropical Cyclones Research
  • Data Visualization and Analytics
  • Evacuation and Crowd Dynamics
  • Remote Sensing and Land Use
  • Seismology and Earthquake Studies
  • Remote-Sensing Image Classification
  • Flood Risk Assessment and Management

University of Colorado Boulder
2020-2024

Cooperative Institute for Research in Environmental Sciences
2020-2024

Structure loss is an acute, costly impact of the wildfire crisis in western conterminous United States ("West"), motivating need to understand recent trends and causes. We document a 246% rise West-wide structure from wildfires between 1999-2009 2010-2020, driven strongly by events 2017, 2018, 2020. Increased was not due increased area burned alone. Wildfires became significantly more destructive, with 160% higher structure-loss rate (loss/kha burned) over past decade. primarily unplanned...

10.1093/pnasnexus/pgad005 article EN cc-by PNAS Nexus 2023-02-01

Abstract This paper describes a dataset mined from the public archive (1999–2020) of US National Incident Management System Status Summary (ICS-209) forms (a total 187,160 reports for 35,170 incidents, including 34,478 wildland fires). system captures detailed daily/regular information on incident development and response, social economic impacts. Most (98.4%) are fire-related, with other types hurricane, hazardous materials, flood, tornado, search rescue, civil unrest, winter storms. The...

10.1038/s41597-023-01955-0 article EN cc-by Scientific Data 2023-02-24

The most destructive and deadly wildfires in US history were also fast. Using satellite data, we analyzed the daily growth rates of more than 60,000 fires from 2001 to 2020 across contiguous US. Nearly half ecoregions experienced fast that grew 1620 hectares 1 day. These accounted for 78% structures destroyed 61% suppression costs ($18.9 billion). From 2020, average peak rate these doubled (+249% relative 2001) Western 3 million within 4 kilometers a fire during this period Given recent...

10.1126/science.adk5737 article EN Science 2024-10-24

Harnessing the fire data revolution, i.e., abundance of information from satellites, government records, social media, and human health sources, now requires complex challenging integration approaches. Defining events is key to that effort. In order understand spatial temporal characteristics fire, or classic regime concept, we need critically define remote sensing data. Events, fundamentally a geographic concept with delineated boundaries around specific phenomenon homogenous in some...

10.3390/rs12213498 article EN cc-by Remote Sensing 2020-10-24

Fire activity is changing across many areas of the globe. Understanding how social and ecological systems respond to fire an important topic for coming century. But countries do not have accessible history data. There are several satellite-based products available as gridded data, but these can be difficult access use, require significant computational resources time convert into a usable product specific area interest. We developed open source software package called Event Delineation...

10.1038/s41597-022-01572-3 article EN cc-by Scientific Data 2022-07-30

Abstract Changes in fire activity challenge policymakers, land managers and the general public. Burned area (BA) is declining globally, but 81% of BA occurs just 22 countries, growth rate may be more important for public safety. We used eight regime components from country-level datasets to characterize regimes 241 countries 2003-2020. Fire followed two axes variation, with versus event duration on one axis, season length size spread other. Annual trends were mixed, no trend being most...

10.21203/rs.3.rs-3870398/v2 preprint EN cc-by Research Square (Research Square) 2024-02-21

Quaking aspen (Populus tremuloides Michx.) is an important deciduous species in western U.S. forests. Existing maps of distribution are based on Landsat imagery and often miss small stands (<0.09 ha or 30 m²), which rapidly regrow when managed following disturbance. In this study, we present methods for deriving a new regional map forests using one year Sentinel-1 (S1) Sentinel-2 (S2) Google Earth Engine. We assessed the annual phenology Southern Rockies leveraged frequent...

10.20944/preprints202404.0606.v1 preprint EN 2024-04-09

Quaking aspen is an important deciduous tree species across interior western U.S. forests. Existing maps of distribution are based on Landsat imagery and often miss small stands (<0.09 ha or 30 m2), which rapidly regrow when managed following disturbance. In this study, we present methods for deriving a new regional map forests using one year Sentinel-1 (S1) Sentinel-2 (S2) in Google Earth Engine. Using observed annual phenology the Southern Rockies leveraging frequent temporal resolution...

10.3390/rs16091619 article EN cc-by Remote Sensing 2024-04-30

Global climate change and associated environmental extremes present a pressing need to understand predict social–environmental impacts while identifying opportunities for mitigation adaptation. In support of informing more resilient future, emerging data analytics technologies can leverage the growing availability Earth observations from diverse sources ranging satellites sensors social media. Yet, there remains transition research knowledge gain sustained operational deployment. this paper,...

10.3390/app131911034 article EN cc-by Applied Sciences 2023-10-07

Global climate change and associated environmental extremes present a pressing need to understand predict social-environmental impacts while identifying opportunities for mitigation adaptation. In support of informing more resilient future, emerging data analytics technologies can leverage the growing availability Earth observations from diverse sources ranging satellites sensors social media. Yet, there remains transition research knowledge gain sustained operational deployment. this paper,...

10.20944/preprints202307.1583.v1 preprint EN 2023-07-24

Abstract Changes in fire activity challenge policymakers, land managers and the general public. Burned area (BA) is declining globally, but 81% of BA occurs just 22 countries, growth rate may be more important for public safety. We used eight regime components from country-level datasets to characterize regimes 241 countries 2003-2020. Fire followed two axes variation, with versus event duration on one axis, season length size spread other. Annual trends were mixed, no trend being most...

10.21203/rs.3.rs-3870398/v1 preprint EN cc-by Research Square (Research Square) 2024-01-23

Harnessing the fire data revolution, i.e., abundance of information from satellites, government records, social media, and human health sources, now requires complex challenging integration approaches.Defining events is key to that effort.In order understand spatial temporal characteristics fire, or classic regime concept, we need critically define remote sensing data.Events, fundamentally a geographic concept with delineated boundaries around specific phenomenon homogenous in some property,...

10.32942/osf.io/nkzpg preprint EN 2020-06-22
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