Ph.D. 1998, M.S. 1995, Oregon State University; J.D. 1979, Columbia; B.A. 1976 Claremont McKenna College. Teaching and research programs in the use and application of remote sensing, geographic information systems, and spatial technologies in managed and natural ecosytems.

Recent Publications

  • Garroutte, E., A. Hansen, and R.L. Lawrence.  2016.  Using NDVI and EVI to map spatiotemporal variation in the biomass and quality of forage for migratory elk in the Greater Yellowstone Ecosystem.  Remote Sensing 8:404.
  • Long, J., and R.L. Lawrence. In press. Mapping Percent tree mortality due to mountain pine beetle damage. Forest Science.
  • Savage, S.L., R.L. Lawrence, and J.R. Squires. 2015. Predicting relative species composition within mixed conifer forest pixels using zero-inflated models and Landsat imagery. Remote Sensing of Environment 171:326-336.
  • Lawrence, R.L., and C.J. Moran.  2015.  The AmericaView classification methods accuracy comparison project: A rigorous approach for model selection.  Remote Sensing of Environment 170:115-120.
  • Bellante, G.J., S.L. Powell, R.L. Lawrence, K.S. Repasky, T.A.O. Dougher.  2014.  Hyperspectral Detection of a subsurface CO2 Leak in the Presence of Water Stressed Vegetation.  PLoS ONE 9(10):e10829.
  • Long, J.A., R.L. Lawrence, P.R. Miller, L.A. Marshall, and M.C. Greenwood.  2014.  Adoption of cropping sequences in northeast Montana: A spatiotemporal analysis.  Agriculture, Ecosystems and Environment 197:77-87.
  • Long, J.A., R.L. Lawrence, P.R. Miller, and L.A. Marshall.  2014.  Changes in Field-Level Cropping Sequences: Indicators of Shifting Agricultural Practices. Agriculture, Ecosystems and Environment 189:11-20.
  • Porter, T.F., C. Chen, J.A. Long, R.L. Lawrence, and B.F. Sowell.  2014.  Estimating biomass on CRP pastureland: A comparison of remote sensing techniques.  Biomass and Bioenergy 66:268-274.
  • Olexa, E.M., and R.L. Lawrence.  2014.  Performance and effects of land cover type on synthetic surface reflectance data and NDVI estimates for assessment and monitoring of semi-arid rangeland. International Journal of Applied Earth Observation and Geoinformation 30:30-41.
  • Johnson, J.E., J.A. Shaw, R.L. Lawrence, P.W. Nugent, J.A. Hogan, L.M. Dobeck, and L.H. Spangler.  2014.  Comparison of long-wave infrared imaging and visible/near-infrared imaging of vegetation for detecting leaking CO2 gas.  IEEE Journal on Selected Topics in Applied Earth Observations and Remote Sensing 7:1-7.
  • Vsevolozhskaya, O.A., M.A. Greenwood, G.J. Bellante, S.L. Powell, R.L. Lawrence, and K.S. Repasky.  2013.  Combining functions and the closure principle for performing follow-up tests in functional analysis of variance. Computational Statistics and Data Analysis 67:175-184.
  • Long J.A., R.L. Lawrence, M.C. Greenwood, L. Marshall, and P.R. Miller.  2013.  Object-oriented crop classification using multitemporal ETM+ SLC-off imagery and random forest.  GIScience & Remote Sensing 50:418-436.
  • Lawrence, R.L., and J. Jewett.  2013.  Remote sensing reveals relationships among whitebark pine, bark beetles and climate variability, pp. 66-67 in R.L. Dodge and R.G. Congalton, Meeting Environmental Challenges with Remote Sensing Imagery, American Geosciences Institute, Alexandria, VA.
  • Bellante, G.J., S.L. Powell, R.L. Lawrence, K.S. Repasky, T.A.O. Dougher.  2013.  Aerial detection of a simulated CO2 leak from a geologic sequestration site using hyperspectral imagery.  International Journal of Greenhouse Gas Control 13:124-137.
  • Johnson, J.E., J.A. Shaw, R.L. Lawrence, P.W. Nugent, L.M. Dobeck, and L.H. Spangler.  2012.  Long-wave infrared imaging of vegetation for detecting leaking CO2 gas.  Journal of Applied Remote Sensing 6:063612-1-9.
  • Hogan, J.A., J.A. Shaw, and R.L. Lawrence.  2012.  Detection of leaking CO2gas with vegetation reflectances measured by a low-cost multi-spectral imager.  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 5:699-706.
  • Savage, S., R.L. Lawrence, S. Custer, J. Jewett, S. Powell, and J. Shaw.  2012.  Analyzing change in Yellowstone’s terrestrial emittance with Landsat imagery.  GIScience and Remote Sensing 49:317-345.
  • Hogan, J.A., J.A. Shaw, R.L. Lawrence, and R.M. Larimer.  2012.  Low-cost multispectral imaging system for detecting leaking CO2 gas.  Applied Optics51:A59-A66.
  • Baril, L.M., A.J. Hansen, R. Renkin, and R.L. Lawrence, 2011.  Bird response to increased willow (Salix spp.) growth in Yellowstone's Northern Range  Ecological Applications 21:2283-2296.
  • Landenberger, R., M. Patterson, R. Sivanpillai, and R.L. Lawrence, 2011.  AmericaView: Promoting remote sensing science and technology through cooperative partnerships.  Photogrammetric Engineering & Remote Sensing77:969-974.
  • Jewett, J., R.L. Lawrence, L. Marshall, P. Gessler, S. Powell, and S. Savage.  2011.  Spatiotemporal relationships between climate and whitebark pine mortality in the Greater Yellowstone Ecosystem.  Forest Science 57:320-335.
  • Campos, J., R.L. Lawrence, B. McGlynn, and K. Gardner.  2011.  Using Quickbird and Landsat imagery to analyze temporal changes in mountain resort development: Big Sky, Montana 1990-2005.  Journal of Applied Remote Sensing 5:053541.
  • Watts, J.D., R.L. Lawrence, P.R. Miller, and C. Montagne, 2011.  An estimation of soil carbon sequestration resulting from no-till, cropping intensity, and conservation reserve practices with north central Montana. Climate Change 108:301-331.

 

Recent Grants

  • Bioenergy Alliance Network for the Rockies, USDA. 2013-2018. $663,494.
  • Mapping Lynx Habitat with Landsat and Radarsat Imagery. USFS. 2012-2017. $480,385
  • Big Sky Regional Carbon Sequestration Partnership PHASE III: Terrestrial Sequestration. DOE. 2011-2014. $100,000
  • Big Sky Regional Carbon Sequestration Partnership PHASE III: Geologic Sequestration. DOE. 2011-2019. $280,000
  • StateView Program for the State of Montana. USGS. 2013-2018. $125,000

Current Instructional Responsibilities

  • GPHY 426 - Remote Sensing & Digital Image Processing (Spring)
  • NRSM 430/LRES 530 - Natural Resource Law (Spring)
  • GPHY 429/LRES 525 - Applied Remote Sensing (Spring)