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Featured researches published by Brad Quayle.


IEEE Transactions on Geoscience and Remote Sensing | 2011

Estimation of Biomass Burned Areas Using Multiple-Satellite-Observed Active Fires

Shobha Kondragunta; Brad Quayle

Biomass burning releases a significant amount of trace gases and aerosols into the atmosphere and affects climate change, carbon cycle, and air quality. Accurate estimates of emissions depend strongly on the calculations of burned areas. Here, we present an algorithm that is used to derive burned areas by blending active fire observations from multiple satellites which are provided in the Hazard Mapping System (HMS). The HMS consolidates automated fire detections from Geostationary Operational Environmental Satellite (GOES) Imager, Advanced Very High Resolution Radiometer (AVHRR), and MODerate resolution Imaging Spectroradiometer (MODIS). Our goals are to derive burned areas in each GOES fire pixel across contiguous United States (CONUS) from 2004 to 2007 and to validate the estimates using Landsat Thematic Mapper/Enhanced Thematic Mapper plus (TM/ETM+) burn scars and National Fire Inventory data. The results show that annual fire events burn 0.4% (3.4 × 104 km2) of total land across CONUS, which consists of 0.49% of total forests, 0.64% of savannas, 0.68% of shrublands, 0.40% of grasslands, and 0.30% of croplands. The large burned areas are dominantly distributed in the western CONUS, followed by the states in the southeast region and along the Mississippi Valley. Extensive validation shows that MODIS+AVHRR+GOES instruments greatly improve the determination of fire duration and fire detection rate compared to single instrument detections. The detection rate of small fire events (<; 10 km2) from multiple instruments is 24% and 36% higher than that from MODIS and GOES, respectively. The error in the burned-area estimate is less than 30% in individual ecosystems, and it decreases exponentially with the increase of burn scar size. Overall, the accuracy of total burned area across CONUS is 98.9% when compared to TM/ETM+-based burn scars and 83% when compared to national inventory data.


Archive | 2013

The GOFC-GOLD Fire Mapping and Monitoring Theme: Assessment and Strategic Plans

Ivan Csiszar; Christopher O. Justice; Johann G. Goldammer; T. J. Lynham; William J. de Groot; Elaine M. Prins; Christopher D. Elvidge; Dieter Oertel; Eckehard Lorenz; Thomas J. Bobbe; Brad Quayle; Diane K. Davies; David P. Roy; Luigi Boschetti; S. Korontzi; Stephen D. Ambrose; George Stephens

The objectives of the fire mapping and monitoring theme of the global observation of forest and landcover dynamics (GOFC-GOLD) program are to refine and articulate the international requirements for fire related observations, to increase access to and make the best possible use of existing and future observing systems for fire management, policy decision-making and global change research and to ensure the provision of long-term, systematic satellite observations necessary for the production of the full suite of recommended fire products. The GOFC-GOLD Fire Implementation Team also fostered the development of regional networks of data providers and users to capture regional specific information needs and priorities. This chapter discusses specific goals of the program related to pre-fire evaluation, fire observations and post-fire assessment, and the implementation status of corresponding activities. Examples of contributory programs from US agencies are also presented.


Remote Sensing of Environment | 2009

An active-fire based burned area mapping algorithm for the MODIS sensor

Louis Giglio; Tatiana Loboda; David P. Roy; Brad Quayle; Christopher O. Justice


Atmospheric Environment | 2006

Estimating emissions from fires in North America for air quality modeling

Christine Wiedinmyer; Brad Quayle; Chris Geron; Angie Belote; Donald McKenzie; Susan O'Neill; Kristina Klos Wynne


Remote Sensing of Environment | 2016

Active fire detection using Landsat-8/OLI data

Wilfrid Schroeder; Patricia Oliva; Louis Giglio; Brad Quayle; Eckehard Lorenz; Fabiano Morelli


Fire Ecology | 2015

Calibration and Validation of Immediate Post-Fire Satellite-Derived Data to Three Severity Metrics

Jay D. Miller; Brad Quayle


Archive | 2012

GOES EARLY FIRE DETECTION (GOES-EFD) SYSTEM PROTOTYPE

Alexander Koltunov; Susan L. Ustin; Brad Quayle; Brian Schwind


General Technical Report, Pacific Northwest Research Station, USDA Forest Service | 2010

Establishing a nationwide baseline of historical burn-severity data to support monitoring of trends in wildfire effects and national fire policies

Brian Schwind; Ken Brewer; Brad Quayle; Jeffery C. Eidenshink


Remote Sensing of Environment | 2016

The development and first validation of the GOES Early Fire Detection (GOES-EFD) algorithm

Alexander Koltunov; Susan L. Ustin; Brad Quayle; Brian Schwind; Vincent Ambrosia; Wei Li


Ecosystems | 2013

Assessing double counting of carbon emissions between forest land cover change and forest wildfires: a case study in the United States, 1992-2006

Daolan Zheng; Linda S. Heath; Mark J. Ducey; Brad Quayle

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Brian Schwind

United States Forest Service

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David P. Roy

South Dakota State University

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Susan L. Ustin

University of California

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Bryce Nordgren

United States Forest Service

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Chris Geron

United States Environmental Protection Agency

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Christine Wiedinmyer

National Center for Atmospheric Research

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Christopher D. Elvidge

National Oceanic and Atmospheric Administration

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Daolan Zheng

University of New Hampshire

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