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Associate Professor
Director of Graduate Studies
Director of URSA Lab
Office: Orson Spencer Hall, Room 270C
Phone: (801) 585-1805
Fax: (801) 581-8219


Email: dennison@geog.utah.edu

  Education

 
Ph.D., Geography, University of California Santa Barbara, 2003
M.A., Geography, University of California Santa Barbara, 1999
B.S., Geography, Penn State University, 1997
  Courses

 
GEOG 1100 - Measuring Global Change From Space
GEOG 3110 - The Earth from Space: Remote Sensing of the Environment
GEOG 5120/6120 - Environmental Optics
GEOG 6960 - Graduate Seminar
  Research Interests

 
Remote sensing of vegetation physiology and phenology, imaging spectroscopy, wildfire and fire danger modeling, vegetation and the carbon cycle, natural hazards, physical geography
  Research Affiliations

 
Utah Remote Sensing Applications (URSA) Lab
Center for Natural and Technological Hazards
Center for Ecosystem and Global Change Sciences
  Research Projects

 
FuelsRemote Sensing of Wildfire Fuels

The moisture, type, and amount of fuels has a big impact on fire behavior. We are developing applications of hyperspectral data and time series multispectral data for mapping fuel type, fuel moisture, and fuel condition. Our current efforts are focused on mapping fuel properties in Utah and California.

Vegetation SpeciesMapping Vegetation Species

Hyperspectral remote sensing data have a proven ability to map vegetation at the function type level, and can sometimes map vegetation at the species level. We are investigating new techniques for mapping vegetation species and functional types at multiple locations across the Western U.S.

WildfireMeasuring Fires using Hyperspectral Remote Sensing

Fire mapping typically uses thermal infrared wavelengths, while fuels mapping typically uses visible and near infrared wavelengths. Hyperspectral data span the visible, near infrared, and shortwave infrared, and contain information on both fuels and fire. We are developing methods for mapping fire properties from hyperspectral data.

Mountain Pine BeetleMapping Bark Beetle Kill in Lodgepole Pines

A massive mountain pine beetle outbreak is occurring throughout the Rocky Mountains, killing millions of lodgepole pines. After the trees have died, their needles turn red. We are testing the use of high resolution satellite data for mapping areas of beetle-killed lodgepole pine.

TamariskMonitoring Tamarisk Defoliation

The invasive tree tamarisk has had considerable impacts on riparian habitat in the Southwestern US. The release of the saltcedar leaf beetle (Diorhabda carinulata) has resulted in defoliation of tamarisk along the Colorado and Green Rivers in Utah. We are using remote sensing data to map and monitor tamarisk defoliation in southeastern Utah.

DambosMapping Wetlands in Uganda

"Dambo" is a Bantu term used to describe the extensive seasonally saturated wetlands common to Central and Southern Africa. We are using multispectral remote sensing data to map dambos to better understand their emissions of methane, a potent greenhouse gas. For more information on this project, click here.

WUIVACModeling Evacuation Triggers in the Wildland Urban Interface

The wildland urban interface (WUI) is the zone where wildland fuels and human settlement meet. We are using a geospatial model called WUIVAC to create evacuation trigger buffers based on fire rate of spread. When one of these trigger buffers is crossed by the fire, the minimum travel time required for the fire to reach a protected area has been exceeded and an evacuation should be ordered.

  Refereed Publications

 
Dennison, P.E., and M.A. Moritz, 2009. Critical live fuel moisture in chaparral ecosystems: A threshold for fire activity and its relationship to antecedent precipitation. International Journal of Wildland Fire, 18, 1021-1027. Preprint
Dennison, P.E. and D.A. Roberts, 2009. Daytime fire detection using airborne hyperspectral data. Remote Sensing of Environment, 113, 1646-1657. Preprint
Dennison, P.E., P.L. Nagler, K.R. Hultine, E.P. Glenn, and J.R. Ehleringer, 2009. Remote monitoring of tamarisk defoliation and evapotranspiration following saltcedar leaf beetle attack. Remote Sensing of Environment, 113, 1462-1472. Preprint
Hansen, M.K., D.J. Brown, P.E. Dennison, S.A. Graves, and R.S. Bricklemyer, 2009. Inductively mapping expert-derived soil-landscape units within dambo wetland catenae using multispectral and topographic data. Geoderma, 150, 72-84. Preprint
Dennison, P.E., M.A. Moritz, and R.S. Taylor, 2008. Examining Predictive Models of Chamise Critical Live Fuel Moisture in the Santa Monica Mountains, California. International Journal of Wildland Fire, 17, 18-27. Article
Peterson, S.H., D.A. Roberts, and P.E. Dennison, 2008. Mapping live fuel moisture with MODIS data: a multiple regression approach. Remote Sensing of Environment, 112, 4272-4284.
Clark, R.E., A.S. Hope, S. Tarantola, D. Gatelli, P.E. Dennison and M.A. Moritz, 2008. Sensitivity analysis of a fire spread model in a chaparral landscape. Fire Ecology, 4, 1-13. Article
Dennison, P.E., D.A. Roberts, and S.H. Peterson, 2007. Spectral shape-based temporal compositing algorithms for MODIS surface reflectance data. Remote Sensing of Environment, 109, 510-522. Preprint
Dennison, P.E., T.J. Cova, and M.A. Moritz, 2007. WUIVAC: A wildland urban interface evacuation trigger model applied in strategic wildfire scenarios. Natural Hazards, 41, 181-199. Preprint
Powell, R.L., D.A. Roberts, P.E. Dennison, and L.L. Hess, 2007. Sub-pixel mapping of urban land cover using multiple endmember spectral mixture analysis: Manaus, Brazil. Remote Sensing of Environment, 106, 253-267.
Dennison, P.E., 2006. Fire detection in imaging spectrometer data using atmospheric carbon dioxide absorption. International Journal of Remote Sensing, 27, 3049-3055. Preprint
Dennison, P.E., K. Charoensiri, D.A. Roberts, S.H. Peterson, and R.O. Green, 2006. Wildfire temperature and land cover modeling using hyperspectral data. Remote Sensing of Environment, 100, 212-222. Preprint
Roberts, D.A., P.E. Dennison, S. Peterson, S. Sweeney, and J. Rechel, 2006. Evaluation of AVIRIS and MODIS measures of live fuel moisture and fuel condition in a shrubland ecosystem in southern California. Journal of Geophysical Research – Biogeosciences, 111, G04S02. Article
Dennison, P.E., D.A. Roberts, S.H. Peterson and J. Rechel, 2005. Use of normalized difference water index for monitoring live fuel moisture. International Journal of Remote Sensing, 26, 1035-1042. Preprint
Cova, T.J., P.E. Dennison, T.H. Kim and M.A. Moritz, 2005. Setting wildfire evacuation trigger points using fire spread modeling and GIS. Transactions in GIS, 9, 603-617. Article
Dennison, P.E., K.Q. Halligan and D.A. Roberts, 2004. A comparison of error metrics and constraints for multiple endmember spectral mixture analysis and spectral angle mapper. Remote Sensing of Environment, 93, 359-367. Preprint
Herold, M., D.A. Roberts, M.E. Gardner and P.E. Dennison, 2004. Spectrometry for urban area remote sensing - Development and analysis of a spectral library from 350 to 2400 nm. Remote Sensing of Environment, 91, 304-319. Abstract
Dennison, P.E., D.A. Roberts, S.R. Thorgusen, J.C. Regelbrugge, D. Weise and C. Lee., 2003. Modeling seasonal changes in live fuel moisture and equivalent water thickness using a cumulative water balance index. Remote Sensing of Environment, 88, 442-452. Preprint
Dennison, P.E. and D.A. Roberts, 2003. The effects of vegetation phenology on endmember selection and species mapping in Southern California chaparral. Remote Sensing of Environment, 87, 295-309. Preprint
Dennison, P.E. and D.A. Roberts, 2003. Endmember selection for multiple endmember spectral mixture analysis using Endmember Average RMSE. Remote Sensing of Environment, 87, 123-135. Preprint
Roberts, D.A., P.E. Dennison, M. Gardner, Y.L. Hetzel, S.L. Ustin, and C. Lee, 2003. Evaluation of the potential of Hyperion for fire danger assessment by comparison to the Airborne Visible Infrared Imaging Spectrometer. IEEE Transactions on Geoscience and Remote Sensing, 41, 1297-1310. Article
Riaño, D., E. Chuvieco, S. Ustin, R. Zomer, P. Dennison, D. Roberts, and J. Salas, 2002. Assessment of the vegetation regeneration after fire through the multitemporal analysis of AVIRIS images in the Santa Monica Mountains. Remote Sensing of Environment, 79, 60-71. Abstract
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Philip Dennison, Philip Dennison, Phil Dennison, Phil Dennison, geography, remote sensing, hyperspectral, synthetic aperture radar, vegetation, chaparral, wildfire modeling