Professor, Geography Department

dennison@geog.utah.edu

Publications

• FOOD SYSTEMS | WATER: Lloyd B. & Dennison P. (2018). Evaluating the response of conventional and water harvesting farms to environmental variables using remote sensing. (pp. 11-17). Vol. 262, Agriculture, Ecosystems and Environment., 07/15/2018 BURKINA FASO
• CLIMATE CHANGE: Ayasse A., Thorpe A., Roberts D., Funk C., Dennison P., Frankenberg C., Steffke A. & Aubrey A. (2018). Evaluating the effects of surface properties on methane retrievals using a synthetic airborne visible/infrared imaging spectrometer next generation (AVIRIS-NG) image. (pp. 386-397). Vol. 215, Remote Sensing of Environment., 09/15/2018
• BUILT ENVIRONMENT & COMMUNITIES | ECOLOGICAL & ENVIRONMENTAL CHANGE: Smith R., Williamson J., Pataki D., Ehleringer J. & Dennison P. (2018). Soil carbon and nitrogen accumulation in residential lawns of the Salt Lake Valley, Utah. (pp. 1107-1118). Vol. 187, Oecologia., 08/01/2018
• NATURE & CULTURE | ECOLOGICAL & ENVIRONMENTAL CHANGE: Campbell, MJ, P.E. Dennison & 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. Vol. 31, 1448-1466., 07/2017
• NATURE & CULTURE | ECOLOGICAL & ENVIRONMENTAL CHANGE: Campbell M., Dennison P. & Butler B. (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. (pp. 884-895). Vol. 26. International Journal of Wildland Fire., 01/01/2017
• BUILT ENVIRONMENT & COMMUNITIES | ECOLOGICAL & ENVIRONMENTAL CHANGE: Cova T., Dennison P., Li D., Drews F., Siebeneck L. & Lindell M. (2017). Warning Triggers in Environmental Hazards: Who Should Be Warned to Do What and When?. (pp. 601-611). Vol. 37. Risk Analysis., 04/01/2017
• ECOLOGICAL & ENVIRONMENTAL CHANGE | WATER: Hansen C., Burian S., Dennison P. & Williams G. (2017). Spatiotemporal variability of lake water quality in the context of remote sensing models. Vol. 9. Remote Sensing., 05/01/2017
• NATURE & CULTURE | BUILT ENVIRONMENT & COMMUNITIES | ECOLOGICAL & ENVIRONMENTAL CHANGE | CLIMATE CHANGE | WATER: Schoennagel T., Balch J., Brenkert-Smith H., Dennison P., Harvey B., Krawchuk M., Mietkiewicz N., Morgan P., Moritz M., Rasker R., Turner M. & Whitlock C. (2017). Adapt tomore wildfire in western North American forests as climate changes. (pp. 4582-4590). Vol. 114. Proceedings of the National Academy of Sciences of the United States of America., 05/02/2017
• BUILT ENVIRONMENT & COMMUNITIES | WATER: 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., 01/2017
• ECOLOGICAL & ENVIRONMENTAL CHANGE: Meng R., Wu J., Schwager K., Zhao F., Dennison P., Cook B., Brewster K., Green T. & Serbin S. (2017). Using high spatial resolution satellite imagery to map forest burn severity across spatial scales in a Pine Barrens ecosystem. (pp. 95-109). Vol. 191. Remote Sensing of Environment., 03/15/2017
• ENERGY | CLIMATE CHANGE: Thorpe A., Frankenberg C., Thompson D., Duren R., Aubrey A., Bue B., Green R., Gerilowski K., Krings T., Borchardt J., Kort E., Sweeney C., Conley S., Roberts D. & Dennison P. (2017). Airborne DOAS retrievals of methane, carbon dioxide, and water vapor concentrations at high spatial resolution: Application to AVIRIS-NG. (pp. 3833-3850). Vol. 10. Atmospheric Measurement Techniques., 10/19/2017
• CLIMATE CHANGE: Khorshidi M.S., Dennison P.E., Nikoo M.R., Aghakouchak A., Luce C.H. & Sadegh M. (2020). Increasing concurrence of wildfire drivers tripled megafire critical danger days in Southern California between1982 and 2018. Vol. 15, Environmental Research Letters, 104002., 10/01/2020
• AIR QUALITY | CLIMATE CHANGE: Foote M.D., Dennison P.E., Thorpe A.K., Thompson D.R., Jongaramrungruang S., Frankenberg C. & Joshi S.C. (2020). Fast and accurate retrieval of methane concentration from imaging spectrometer data using sparsity prior. (pp. 6480-6492). Vol. 58, IEEE Transactions on Geoscience and Remote Sensing., 09/01/2020