Dennison, P.E., Y. Qi, S.K. Meerdink, R.F. Kokaly, D.R. Thompson, C.S.T. Daughtry, M. Quemada, D.A. Roberts, P.D. Gader, E.B. Wetherley, I. Numata, and K.L. Roth, 2019. Comparison of methods for modeling fractional cover using simulated satellite hyperspectral imager spectra. Remote Sensing, 11, 2072. DOI:10.3390/rs11182072

Ayasse, A.K., P.E. Dennison, M. Foote, A.K. Thorpe, S. Joshi, R.O. Green, R.M. Duren, D.R. Thompson, and D.A. Roberts. Methane mapping with future satellite imaging spectrometers. Remote Sensing, 11, 3054. DOI:10.3390/rs11243054

Campbell, M.J., P.E. Dennison, B.W. Butler, and W.G. Page, 2019. Using crowdsourced fitness tracker data to model the relationship between slope and travel rates. Applied Geography, 106, 93-107. DOI:10.1016/j.apgeog.2019.03.008

Campbell, M.J., W.G. Page, P.E. Dennison, and B.W. Butler, 2019. Escape Route Index: A spatially-explicit measure of wildland firefighter egress capacity. Fire, 2(3), 40. DOI:10.3390/fire2030040

Li, D., T.J. Cova, and P.E. Dennison, 2019. Setting wildfire evacuation triggers by coupling fire and traffic simulation models: A spatiotemporal GIS approach. Fire Technology, 55, 617-642. DOI:10.1007/s10694-018-0771-6

Li, D., T.J. Cova, P.E. Dennison, N. Wan, Q. Nguyen, and L. Siebeneck, 2019. Why do we need a national address point database to improve wildfire public safety in the U.S.? International Journal of Disaster Risk Reduction, 39, 101237. DOI:10.1016/j.ijdrr.2019.101237

Hansen, C.H., S.J. Burian, P.E. Dennison, and G.P. Williams, 2019. Evaluating historical trends and influences of meteorological and seasonal climate conditions on lake chlorophyll a using remote sensing. Lake and Reservoir Management, in press. DOI:10.1080/10402381.2019.1632397

Mishra, M.K., A. Gupta, J. John, B.P. Shukla, P. Dennison, S.S. Srivastava, N.K. Kaushik, A. Misra, and D. Dhar, 2019. Retrieval of atmospheric parameters and data-processing algorithms for AVIRIS-NG Indian campaign data. Current Science, 116, 1089-1100. DOI:10.18520/cs/v116/i7/1089-1100

Waigl, C.F., A. Prakash, M. Stuefer, D. Verbyla, and P. Dennison, 2019. Fire detection and temperature retrieval using EO-1 Hyperion data over selected Alaskan boreal forest fires. International Journal of Applied Earth Observations and Geoinformation, 81, 72-84. DOI:10.1016/j.jag.2019.03.004

Fowler, M., A.M. Rad, S. Utych, A. Adams, S. Alamian, J. Pierce, P. Dennison, J. Abatzoglou, A. AghaKouchak, L. Montrose, and M. Sadegh, 2019. A dataset on human perception of and response to wildfire smoke. Scientific Data, 6, 229. DOI:10.1038/s41597-019-0251-y

Yebra, M., G. Scortechini, A. Badi, M.E. Beget, M. Boer, R. Bradstock, E. Chuvieco, M. Danson, P. Dennison, V.R. de Dios, C.M. Di Bella, G. Forsyth, P. Frost, M. Garcia, A. Hamdi, B. He, M. Jolly, T. Kraaij, M.P. Martín, F. Mouillot, G. Newnham, R.H. Nolan, G. Pellizzaro, Y. Qi, X. Quan, D. Riaño, D. Roberts, M. Sow, and S. Ustin, 2019. Globe-LFMC, a global plant water status database for vegetation ecophysiology and wildfire applications. Scientific Data, 6, 155. DOI:10.1038/s41597-019-0164-9


Campbell, M.J., P.E. Dennison, A.T. Hudak, L.M. Parham, and B.W. Butler, 2018. Quantifying understory vegetation density using small-footprint lidar. Remote Sensing of Environment, 215, 330-342. DOI:10.1016/j.rse.2018.06.023

Lloyd, B.J., and P.E. Dennison, 2018. Evaluating the response of conventional and water harvesting farms to environmental variables using remote sensing. Agriculture, Ecosystems, & Environment, 262, 11-17. DOI:10.1016/j.agee.2018.04.009

Meng, R., P. Dennison, F. Zhao, I. Shendryk, A. Rickert, R. Havanan, B. Cook, and S. Serbin, 2018. Mapping canopy defoliation by herbivorous insects at the individual tree level using bi-temporal airborne imaging spectroscopy and LiDAR measurements. Remote Sensing of Environment, 215, 170-183. DOI:10.1016/j.rse.2018.06.008

Veraverbeke, S., P. Dennison, I. Gitas, G. Hulley, O. Kalashnikova, T. Katagis, L. Kuaid, R. Meng, D. Roberts, and N. Stavros, 2018. Hyperspectral remote sensing of fire: state-of-the-art and future perspectives. Remote Sensing of Environment, 216, 105-121. DOI:10.1016/j.rse.2018.06.020

Dai, J., D. Roberts, P. Dennison, and D. Stow, 2018. Spectral-radiometric differentiation of non-photosynthetic vegetation and soil within Landsat and Sentinel 2 wavebands. Remote Sensing Letters, 9, 733-742. DOI:10.1080/2150704X.2018.1470697

Ayase, A.K., A.K. Thorpe, D.A. Roberts, C.C. Funk, P.E. Dennison, C. Frankenberg, A. Steffke, and A.D. Aubrey, 2018. Evaluating the effects of surface properties on methane retrievals using a synthetic Airborne Visible/Infrared Imaging Spectrometer Next Generation (AVIRIS-NG) image. Remote Sensing of Environment, 215, 386–397. DOI:10.1016/j.rse.2018.06.018

Smith, R.M., J.C. Williamson, D.E. Pataki, J. Ehleringer, and P. Dennison, 2018. Soil carbon and nitrogen accumulation in residential lawns of the Salt Lake Valley, Utah. Oecologia, 187, 1107-1118. DOI:10.1007/s00442-018-4194-3


Campbell, M.J., P.E. Dennison, and B.W. Butler, 2017. A lidar-based analysis of the effects of slope, vegetation density, and ground surface roughness on travel rates for wildland firefighter escape route mapping. International Journal of Wildland Fire, 26, 884-895. DOI:10.1071/WF17031

Campbell, M.J., P.E. Dennison, and B.W. Butler, 2017. Safe separation distance score: A new metric for evaluating wildland firefighter safety zones using lidar. International Journal of Geographical Information Science, 31, 1448-1466. DOI:10.1080/13658816.2016.1270453

Cova, T.J., P.E. Dennison, F.A. Drews, D. Li, L.K. Siebeneck, and M.K. Lindell, 2017. Warning triggers in environmental hazards: Who should be warned to do what and when? Risk Analysis, 37, 601-611. DOI:10.1111/risa.12651

Bart, R.R., C.L. Tague, and P.E. Dennison, 2017. Modeling annual grassland phenology along the Central Coast of California. Ecosphere, 8(7), e01875. DOI:10.1002/ecs2.1875

Hansen, C.H., S.J. Burian, P.E. Dennison, and G.P. Williams, 2017. Spatiotemporal variability of lake water quality in the context of remote sensing models. Remote Sensing, 9(5), 409. DOI:10.3390/rs9050409

Li, D., T.J. Cova, and P.E. Dennison, 2017. Using reverse geocoding to identify prominent wildfire evacuation trigger points. Applied Geography, 87, 14-27. DOI:10.1016/j.apgeog.2017.05.008

Schoennagel, T., J.K. Balch, H. Brenkert-Smith, P.E. Dennison, B.J. Harvey, M.A. Krawchuk, N. Miekiewicz, P. Morgan, M.A. Moritz, R. Rasker, M.G. Turner, and C. Whitlock, 2017. Adapt to more wildfire in western North American forests as climate changes. Proceedings of the National Academy of Sciences, 114, 4582–4590. DOI:10.1073/pnas.1617464114

Stoker, P., R. Rothfeder, K. Dudley, P. Dennison, and M. Buchert, 2017. Comparing the utility of LiDAR data vs. multi-spectral imagery for parcel scale water demand modeling. Urban Water Journal, 14, 331-335. DOI:10.1080/1573062X.2015.1111915

Meng, R., J. Wu, K.L. Schwager, K. Brewster, F.R. Zhao, P.E. Dennison, B.D. Cook, T.M. Green, and S.P. Serbin, 2017. Using high spatial resolution satellite imagery to map forest burn severity across spatial scales in a Pine Barrens ecosystem. Remote Sensing of Environment, 191, 95-109. DOI:10.1016/j.rse.2017.01.016

Thorpe, A.K., C. Frankenberg, D.R. Thompson, R.M. Duren, A.D. Aubrey, B.B. Bue, R.O. Green, K Gerilowski, T. Krings, J. Borchard, E.A. Kort, Colm Sweeny, S. Conley, D.A. Roberts, and P.E. Dennison, 2017. Airborne retrievals of methane, carbon dioxide, and water vapor concentraitons at high spatial resolution: application to AVIRIS-NG. Atmospheric Measurement Techniques, 10, 3833-3850. DOI:10.5194/amt-10-3833-2017


Dennison, P.E., D.A. Roberts, J.Q. Chambers, C.S.T. Daughtry, J.P. Guerschman, R.F. Kokaly, G.S. Okin, P.F. Scarth, P.L. Nagler, and C.J. Jarchow, 2016. Global Measurement of Non-Photosynthetic Vegetation. RFI-2 White paper for the 2017-2027 National Academies Decadal Survey for Earth Science and Applications from Space.

Qi, Y., W. Jolly, P. Dennison, and R. Kropp, 2016. Seasonal relationships between foliar moisture content, heat content, and biochemistry of lodgepole pine and sagebrush foliage. International Journal of Wildland Fire, 25, 574-578. DOI:10.1071/WF15156

Meerdink, S.K., D.A. Roberts, J.Y. King, K.L. Roth, P.E. Dennison, C.H. Aramal, and S.J. Hook, 2016. Linking seasonal foliar traits to VSWIR-TIR spectroscopy across California ecosystems. Remote Sensing of Environment, 186, 322-338. DOI:10.1016/j.rse.2016.08.003

Schoennagel, T., P. Morgan, J. Balch, P. Dennison, B. Harvey, R. Hutto, M. Krawchuk, M. Moritz, R. Rasker, and C. Whitlock, 2016. Insights from wildfire science: A resource for fire policy discussions. Headwaters Economics.

Stavros, E.N., A.A. Bloom, T. Brown, J. Coen, P. Dennison, L. Giglio, R. Green, E. Hinkley, Z. Holden, S. Hook, W. Johnson, M.E. Miller, B. Peterson, B. Quayle, C. Ramirez, J. Randerson, D. Schimel, W. Schroeder, A. Soja, and M. Tosca, 2016. The Role of Fire in the Earth System. RFI-2 White paper for the 2017-2027 National Academies Decadal Survey for Earth Science and Applications from Space.


Dennison, P., S. Veraverbeke, N.H.F. French, M. Huesca, Y. Jin, T. Lodoba, J. Randerson, D. Roberts, B.M. Rogers, E.N. Stavros, A. Tayyebi, M. Tosca, and J. Wang. Burning Questions: Critical Needs for Remote Sensing of Fire Impacts on Ecosystems. RFI-1 white paper for the 2017-2027 National Academies Decadal Survey for Earth Science and Applications from Space.

Dennison, P.E., G.K. Fryer, M.J. Campbell, T.J. Cova, and B.W. Butler. Assessing Firefighter Safety Zones Using LIDAR Remote Sensing, 2015. Fire Management Today, 74(4), 32-35.

Coates, A.R., P.E. Dennison, D.A. Roberts, and K.L. Roth, 2015. Monitoring the impacts of severe drought on Southern California chaparral species using hyperspectral and thermal infrared imagery. Remote Sensing, 7, 14200-14215. DOI:10.3390/rs71114276

Dudley, K.L., P.E. Dennison, K.L. Roth, D.A. Roberts, and A.R. Coates, 2015. A multi-temporal spectral library approach for mapping vegetation species across spatial and temporal phenological gradients. Remote Sensing of Environment, 167, 121-134. DOI:10.1016/j.rse.2015.05.004

Meng, R. and P.E. Dennison, 2015. Spectroscopic analysis of green, desiccated and dead tamarisk canopies. Photogrammetric Engineering & Remote Sensing, 81, 199-207. DOI:10.14358/PERS.81.3.199-207

Meng, R., P.E. Dennison, C. Huang, M. Moritz, and C. D’Antonio, 2016. Effects of fire severity and post-fire climate on short-term vegetation recovery of mixed-conifer and red fir forests in the Sierra Nevada Mountains of California. Remote Sensing of Environment, 171, 311-325. DOI:10.1016/j.rse.2015.10.024

Realmuto, V.J., P.E. Dennison, M. Foote, M.S. Ramsey, M.J. Wooster, and R. Wright, 2015. Specifying the saturation temperature for the HyspIRI 4-μm channel. Remote Sensing of Environment, 167, 40-52. DOI:10.1016/j.rse.2015.04.028

Roberts, D.A., P.E. Dennison, K.L. Roth, K. Dudley, and G. Hulley, 2015. Relationships between dominant plant species, fractional cover and land surface temperature in a Mediterranean ecosystem. Remote Sensing of Environment, 167, 152-167. DOI:10.1016/j.rse.2015.01.026

Hochberg, E.J., D.A. Roberts, P.E. Dennison, and G.C. Hulley, 2015. Special issue on the Hyperspectral Infrared Imager (HyspIRI): Emerging science in terrestrial and aquatic ecology, radiation balance and hazards. Remote Sensing of Environment, 167, 1-5. DOI:10.1016/j.rse.2015.06.011

Li, D., T.J. Cova, and P.E. Dennison. A household-level approach to staging wildfire evacuation warnings using trigger modeling. Computers, Environment and Urban Systems, 54, 56-67. DOI:10.1016/j.compenvurbsys.2015.05.008

Roth, K.L., D.A. Roberts, P.E. Dennison, M. Alonzo, S.H. Peterson, and M. Beland, 2015. Differentiating plant species within and across diverse ecosystems with imaging spectroscopy. Remote Sensing of Environment, 167, 135-151. DOI:10.1016/j.rse.2015.05.007

Roth, K.L., D.A. Roberts, P.E. Dennison, S.H. Peterson, and M. Alonzo, 2015. The impact of spatial resolution on the classification of plant species and functional types within imaging spectrometer data. Remote Sensing of Environment, 171, 45-57. DOI:10.1016/j.rse.2015.10.004

Thompson, D.R., B.C. Gao, R.O. Green, D.A. Roberts, P.E. Dennison, and S. Lundeen, 2015. Atmospheric correction for global mapping spectroscopy: ATREM advances for the HyspIRI preparatory campaign. Remote Sensing of Environment, 167, 64-77. DOI:10.1016/j.rse.2015.02.010


Dennison, P.E., S.C. Brewer, J.D. Arnold, and M.A. Moritz, 2014. Large wildfire trends in the western United States, 1984-2011. Geophysical Research Letters, 41, 2928–2933. DOI:10.1002/2014GL059576

Dennison, P.E., G.K. Fryer, and T.J. Cova, 2014. Identification of firefighter safety zones using lidar. Environmental Modelling and Software, 59, 91-97. DOI:10.1016/j.envsoft.2014.05.017

Meng, R., P.E. Dennison, C. D’Antonio, and M.A. Moritz, 2014. Remote sensing analysis of vegetation recovery following short-interval fires in southern California shrublands. PLoS ONE, 9(10), e110637. DOI:10.1371/journal.pone.0110637

Qi, Y., P.E. Dennison, W.M. Jolly, R.C. Kropp, and S.C. Brewer, 2014. Spectroscopic analysis of seasonal changes in live fuel moisture content and leaf dry mass. Remote Sensing of Environment, 150, 198-206. DOI:10.1016/j.rse.2014.05.004

Arnold, J.D., S.C. Brewer, and P.E. Dennison, 2014. Modeling climate-fire connections within the Great Basin and Upper Colorado River Basin, Western United States. Fire Ecology, 10, 64-75. DOI:10.4996/fireecology.1002064

Lugumira, J.S., D.J. Brown, P.E. Dennison, M.K. Hansen, and L.A.Vierling, 2014. Delineating dambo catenary soil-landscape units using aerial gamma-ray and terrain data: a comparison of classification approaches. International Journal of Remote Sensing, 35, 8272-8294. DOI:10.1080/01431161.2014.979302

Casas, A., D. Riaño, S.L. Ustin, P. Dennison, and J. Salas, 2014. Estimation of water-related biochemical and biophysical vegetation properties using multitemporal airborne hyperspectral data and its comparison to MODIS spectral response. Remote Sensing of Environment, 148, 28-41. DOI:10.1016/j.rse.2014.03.011


Dennison, P.E., A.K. Thorpe, E.R. Pardyjak, D.A. Roberts, Y. Qi, R.O. Green, E.S. Bradley, and C.C. Funk, 2013. High spatial resolution mapping of elevated atmospheric carbon dioxide using airborne imaging spectroscopy: Radiative transfer modeling and power plant plume detection. Remote Sensing of Environment, 139, 116-129. DOI:10.1016/j.rse.2013.08.001

Fryer, G.K., P.E. Dennison, and T.J. Cova, 2013. Wildland firefighter entrapment avoidance: Modeling evacuation triggers. International Journal of Wildland Fire, 22, 883-893. DOI:10.1071/WF12160

Carter, V.A., A. Brunelle, T.A. Minckley, and P.E. Dennison, 2013. Regionalization of fire regimes in the Central Rocky Mountains, USA. Quaternary Research, 80, 406-416. DOI:10.1016/j.yqres.2013.07.009

Yebra, M., P.E. Dennison, E. Chuvieco, D. Riano, P. Zylstra, E.R. Hunt, F.M. Danson, Y. Qi, and S. Jurdao, 2013. A global review of remote sensing of live fuel moisture content for fire danger assessment: moving towards operational products. Remote Sensing of Environment, 136, 455-468. DOI:10.1016/j.rse.2013.05.029

Thorpe, A.K., D.A. Roberts, E.S. Bradley, C.C. Funk, P.E. Dennison, and I. Leifer, 2013. High resolution mapping of methane emissions from marine and terrestrial sources using a Cluster-Tuned Matched Filter technique and imaging spectrometry. Remote Sensing of Environment, 134, 305-318.  DOI:10.1016/j.rse.2013.03.018


Mathseon, D.S. and P.E. Dennison, 2012. Evaluating the effects of spatial resolution on hyperspectral fire detection and temperature retrieval. Remote Sensing of Environment, 124, 780-792. DOI:10.1016/j.rse.2012.06.026

Meng, R., P.E. Dennison, L.R. Jamison, C. Van Riper, P. Nagler, K.R. Hultine, N. Ament, D.W. Bean, and T. Dudley, 2012.  Detection of tamarisk defoliation by the northern tamarisk beetle based on multitemporal Landsat 5 Thematic Mapper imagery.  GIScience and Remote Sensing, 49, 510-537. DOI:10.2747/1548-1603.49.4.510

Qi, Y., P.E. Dennison, J. Spencer, and D. Riaño, 2012. Monitoring live fuel moisture using soil moisture and remote sensing proxies. Fire Ecology, 8(3), 71-87.  DOI:10.4996/fireecology.0803071

Roth, K.L., P.E. Dennison, and D.A. Roberts, 2012. Comparing endmember selection techniques for accurate mapping of plant species and land cover using imaging spectrometer data. Remote Sensing of Environment, 127, 139–152. DOI:10.1016/j.rse.2012.08.030

Zhang, Y., G.F. Hepner, and P.E. Dennison, 2012. Delineation of phenoregions in geographically diverse regions using k-means++ clustering: A case study in the Upper Colorado River Basin. GIScience and Remote Sensing, 49, 163-181. DOI:10.2747/1548-1603.49.2.163

Leifer, I. , B. Lehr, D. Simecek-Beatty, E. Bradley, R. Clark, P. Dennison, Y. Hu, S. Matheson, C. Jones, B. Holt, M. Reif, D. Roberts, J. Svejkovsky, G. Swayze and J. Wozencraft, 2012. State of the art satellite and airborne marine oil spill remote sensing: Application to the BP Deepwater Horizon oil spill. Remote Sensing of Environment, 124, 185-209. DOI:10.1016/j.rse.2012.03.024

Nagler, P.L., T. Brown, K.R. Hultine, C. van Riper, D.W. Bean, P.E. Dennison, R.S. Murray, and E.P. Glenn, 2012. Regional-scale impacts of Tamarix leaf beetles (Diorhabda carinulata) on water availability of western U.S. rivers as determined by multi-scale remote sensing methods. Remote Sensing of Environment, 118, 227-240. DOI:10.1016/j.rse.2011.11.011


Dennison, P.E., and D.S. Matheson, 2011. Comparison of fire temperature and fractional area modeled from SWIR, MIR, and TIR multispectral and SWIR hyperspectral airborne data. Remote Sensing of Environment, 115, 876-886.  DOI:10.1016/j.rse.2010.11.015

Cova, T.J., P.E. Dennison, and F.A. Drews, 2011. Modeling evacuate versus shelter-in-place decisions in wildfires. Sustainability, 3, 1662-1687.  DOI:10.3390/su3101662

Larsen, J.C., P.E. Dennison, T.J. Cova, and C. Jones, 2011. Evaluating dynamic wildfire evacuation trigger buffers using the 2003 Cedar Fire. Applied Geography, 31, 12-19.  DOI:10.1016/j.apgeog.2010.05.003

Schaaf, A.N., P.E. Dennison, G.K. Fryer, K.L. Roth, and D.A. Roberts, 2011. Mapping plant functional types at three spatial resolutions using multiple endmember spectral mixture analysis. GIScience and Remote Sensing, 48, 324-344. DOI:10.2747/1548-1603.48.3.324

Bradley, E.S., D.A. Roberts, P.E. Dennison, R.O. Green, M. Eastwood, S.R. Lundeen, I.B. McCubbin, and I. Leifer, 2011. Google Earth and Google Fusion Tables in support of time-critical collaboration: Mapping the Deepwater Horizon oil spill with the AVIRIS airborne spectrometer. Earth Science Informatics, 4, 169-179. DOI:10.1007/s12145-011-0085-4

Cao, L., T.J. Cova, P.E. Dennison, and D.M. Dearing, 2011. Using MODIS satellite imagery to predict hantavirus risk. Global Ecology and Biogeography, 20, 620-629. DOI:10.1111/j.1466-8238.2010.00630.x

Bradley, E.S., I. Leifer, D.A. Roberts, P.E. Dennison, and L. Washburn, 2011. Detection of Marine Methane Emissions with AVIRIS Band Ratios. Journal of Geophysical Research, 38, L10702. DOI:10.1029/2011GL046729

Cavanaugh, K.C., D.A. Siegel, D.C. Reed, and P.E. Dennison, 2011. Environmental controls of giant kelp biomass in the Santa Barbara Channel, California. Marine Ecology Progress Series, 429, 1-17. DOI:10.3354/meps09141

Peterson, S.H., M.A. Moritz, M.E. Morais, P.E. Dennison, and J.M. Carlson, 2011. Modeling long-term fire regimes of southern California shrublands. International Journal of Wildland Fire, 20, 1-16. DOI:10.1071/WF09102

Youngentob, K.N., D.A. Roberts, A.A. Held, P.E. Dennison, X. Jia, and D.B. Lindenmayer, 2011. Mapping two Eucalyptus subgenera using multiple endmember spectral mixture analysis and continuum-removed imaging spectrometry data. Remote Sensing of Environment, 115, 1115-1128. DOI:10.1016/j.rse.2010.12.012


Dennison, P.E., A.R. Brunelle, and V. A. Carter, 2010. Assessing canopy mortality during a mountain pine beetle outbreak using GeoEye-1 high spatial resolution satellite data. Remote Sensing of Environment, 114, 2431-2435.  DOI:10.1016/j.rse.2010.05.018

Hultine, K.R., J. Belnap, J.R. Ehleringer, C. van Riper, P.E. Dennison, M.E. Lee, P.L. Nagler, K.A. Snyder, S.M. Uselman, and J.B. West, 2010. Tamarisk biocontrol in the western United States: ecological and societal implications. Frontiers in Ecology and the Environment, 8, 467-474. DOI:10.1890/090031

Anguelova, Z., D.A. Stow, J. Kaiser, P.E. Dennison, and T. Cova, 2010. Integrating fire behavior and pedestrian mobility models to assess potential risk to humans from wildfires within the U.S.-Mexico border zone. The Professional Geographer, 62(2), 1-16. DOI:10.1080/00330120903543756

Roberts, D.A., E.S. Bradley, R. Cheung, I Leifer, P.E. Dennison, and J. Margolis, 2010. Mapping methane emissions from a marine geological seep source Using imaging spectrometry. Remote Sensing of Environment, 114, 592-606. DOI:10.1016/j.rse.2009.10.015

Hultine, K.R., P.L. Nagler, K Morino, S.E. Bush, K.G. Burtch, P.E. Dennison, E.P. Glenn, and J.R. Ehleringer, 2010. Sap flux-scaled transpiration by tamarisk (Tamarix spp.), before, during and after episodic defoliation by the saltcedar leaf beetle (Diorhabda carinulata). Agricultural and Forest Meteorology, 150, 1467-1475. DOI:10.1016/j.agrformet.2010.07.009


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.  DOI:10.1071/WF08055

Dennison, P.E. and D.A. Roberts, 2009. Daytime fire detection using airborne hyperspectral data. Remote Sensing of Environment, 113, 1646-1657.  DOI:10.1016/j.rse.2009.03.010

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.  DOI:10.1016/j.rse.2008.05.022

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.  DOI:10.1016/j.geoderma.2009.01.013


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. DOI:10.1071/WF07017

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. DOI:10.1016/j.rse.2008.07.012

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.


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.  DOI:10.1007/s11069-006-9032-y

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. DOI:10.1016/j.rse.2007.02.009

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. DOI:10.1016/j.rse.2006.09.005


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. DOI:10.1016/j.rse.2005.10.007

Dennison, P.E. Fire detection in imaging spectrometer data using atmospheric carbon dioxide absorption. International Journal of Remote Sensing, 27, 3049-3055. DOI:10.1080/01431160600660871

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. DOI:10.1029/2005JG000113


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. DOI:10.1080/0143116042000273998

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.  DOI:10.1111/j.1467-9671.2005.00237.x


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. DOI:10.1016/j.rse.2004.07.013

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. DOI:10.1016/j.rse.2004.02.013


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. DOI:10.1016/j.rse.2003.08.015

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. DOI:10.1016/j.rse.2003.07.001

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. DOI:10.1016/S0034-4257(03)00135-4

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. DOI:10.1109/TGRS.2003.812904


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. DOI:10.1016/S0034-4257(01)00239-5

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