Dave Verbyla

Professor GIS/Remote Sensing

Department of Forest Sciences
School of Natural Resources and Ag. Sciences,
366 O'Neill Building
University of Alaska
Fairbanks, Alaska 99775-7200 USA
My Schedule

Email: D.Verbyla@uaf.edu
Work: 907-474-5553 (I prefer email instead of telephone tag)
Fax: 907-474-6184
Fall Semester Office Hours: Thursdays 2pm-3pm
or by email appt
Education
Professional Experience
Classes
Workshops
Graduate Students Advised
Publications
Landscape Slides

EDUCATION
  • Ph.D. Forest Resources, Utah State University (1989)
  • M.S. Park and Recreation Resources, Michigan State University (1982)
  • B.S. Natural Resource Management, Rutgers University (1979)

    • PROFESSIONAL EXPERIENCE
  • Assistant/Associate/Full Professor, Department of Forest Sciences / University of Alaska Fairbanks (1993 to present).
  • Visiting Assistant Professor, Department of Forest Resources / University of Idaho (1991 to 1993).
  • Assistant Professor, Department of Natural Resources / University of New Hampshire (1989 to 1991).
  • Instructor, Department of Forest Resources / Utah State University (1984 to 1989).
  • Statistical Programmer, Utah State University (1982-1985).

    • CLASSES TAUGHT AT UNIVERSITY OF ALASKA

  • NRM338 Introduction to Geographic Information Systems (every fall)
  • NRM341 GIS Analysis (every spring)
  • NRM638 GIS Programming (every odd spring)
  • NRM641 Remote Sensing Applications in Natural Resources (every even spring)

    • WORKSHOPS

    GRADUATE STUDENTS ADVISED

    Link to pdf files of complete theses

    Links to theses abstracts:

  • Matt Macander M. S. 2005.
    MODIS satellite vegetation indices over partially vegetated pixels on the Arctic Coastal Plain of Alaska

  • Karen Clyde M. S. 2005.
    Using GIS and remotely sensed data for early winter moose (Alces alces gigas) survey stratification

  • Brian Riordan M. S. 2005.
    Using remote sensing to examine changes of closed-basin water area in interior Alaska from 1950-20002

  • Justin Epting M. S. 2004.
    Remote sensing of burn severity and the interactions between burn severity, topography, and vegetation in interior Alaska

  • Dorte Dissing Ph. D. 2003.
    Landscape control of thunderstorm development in interior Alaska

  • Julieanne Fogde M. S. 2001.
    Delineating Salix alaxensis and drawdown lakes in interior Alaska Using SAR and TM Imagery

  • Heather Goldman M. S. 2000.
    Estimating Growing Season Using AVHRR NDVI

  • Steve Boles M. S. 1998.
    Detecting Alaskan Wildfires Using Daily AVHRR Data

  • George Plumley M. A. 1998.
    DigitalTopographic Atlas of Alaska

  • Dara Fell M. S. 1997.
    Estimating Deforestation in Bosnia-Herzegovina

  • Andrew Balser M. S. 1996.
    Classifying Wetlands Using ERS-1Radar and Landsat TM Data

  • Tim Hammond M. S. 1995.
    Bias in Classification Accuracy Assessment

  • Lee Halbrook M. S. 1993.
    Using Landsat TM to Select Similar Sites

  • Rachica Jazouli M. S. 1992.
    Mapping Forest Roads Using SPOT HRV Data

  • Pete Wolter M. S. 1990.
    Remote Detection of Moisture Stress in Eastern White Pine


    •  

    CURRENT GRADUATE STUDENTS

  • Marth Raynolds Ph. D. Circumpolar Arctic Vegetation

  • Douglas Smart M. S. Remote Sensing Aspen Leaf Miner Damage

  • Pete Hickman M. S. LIDAR applications in Boreal Forests

  • Garrett Altman M. S. Pond Dynamics Related to Wildfire in Intermittent Permafrost Regions

    • PUBLICATIONS

    Books

  • Verbyla, D. L. 2001. Practical GIS Analysis. Taylor & Francis Press. 12 chapters.

  • Verbyla, D. L. and K. Chang. 1997. Image Processing: A GIS Perspective. OnWord Press. 13 chapters.

  • Verbyla, D. L. 1995. Satellite Remote Sensing of Natural Resources. CRC Press. (8 chapters)


    • Journal Articles

  • Verbyla, D. and R. Lord. 2008. Estimating post-fire organic soil depth in the Alaskan boreal forest using the Normalized Burn Ratio. International Journal of Remote Sensing. (in press)

  • Verbyla, D. 2008. The greening and browning of Alaska based on 1982-2003 satellite data. Global Ecology and Biogeography (in press).

  • French, N. H. F., Allen, J. L., Hall, R. J., Hoy, E. E., Kasischke, E. S., Murphy, K. A., and D. Verbyla. 2008. Using landsat data to assess fire and burn severity in the north american boreal forest region: an overview and summary of results. International Journal of Wildland Fire. (in review)

  • Verbyla, D., Kasischke, E. S., and Hoy, E. E. 2008. Seasonal and topographic effects on estimating fire severity from Landsat TM/ETM + data. International Journal of Wildland Fire. (in review)

  • Raynolds, M. K., Comiso, J. C., Walker, D. A., and D. Verbyla. 2007. Relationship between satellite-derived land surface termperatures, arctic vegetation types, and NDVI. Remote Sensing of Environment. (in press).

  • Riordan, B., Verbyla, D. and A. D. McGuire.   2006.  Shrinking ponds in subarctic Alaska based on 1950-2002 remotely sensed images  Journal of Geophysical Research. 111,G04002, doi:10.1029/2005JG000150, 2006.

  • Walter, K. M., Zimov, S. A., Chanton, J. P., Verbyla, D. and F. S. Chapin III.   2006.  Methane bubbling from Siberian thaw lakes as a positive feedback to climate warming  Nature. 443:71-75.  

  • Epting, J. and D. L. Verbyla.   2005.  Landscape level interactions of pre-fire vegetation, burn severity, and post-fire vegetation over a 16-year period in interior Alaska.   Canadian Journal of Forest Research. 35:1367-1377.  

  • Epting, J., Verbyla, D. L. and B. Sorbel.   2005.  Evaluation of remotely sensed indices for assessing burn severity in interior Alaska using Landsat TM and ETM+   Remote Sensing of Environment. 96:328-339.  

  • Verbyla, D. L.   2005.  Assessment of the MODIS Leaf Area Index Product (MOD15) in Alaska.  International Journal of Remote Sensing.   26(6):1277-1284.

  • Dissing, D. and D. L. Verbyla.  2003.  Spatial patterns of lightning strikes in interior Alaska and their relations to elevation and vegetation.  Canadian Journal of Forest Research.  33:770-782.

  • Silapaswan, C.S., D. Verbyla, and A.D. McGuire. 2001. Land cover change on the Seward Peninsula: The use of remote sensing to evaluate potential influences of climate change on historical vegetation dynamics. Canadian Journal of Remote Sensing. 27:542-554.

  • Verbyla, D. L. 2001. A test of detecting spring leaf flush within the Alaskan boreal forest using ERS-2 and Radarsat SAR data. International Journal of Remote Sensing. 22:1159-1165.

  • Boles, S. H. and D. L. Verbyla. 2000. Comparison of three AVHRR-based fire detection algorithms for interior Alaska. Remote Sensing of Environment. 72:1-16.

  • Verbyla, D. L. and S. H. Boles. 2000. Bias in land cover change estimates due to misregistration. InternationalJournal of Remote Sensing. 21:3553-3560.

  • Boles, S. H. and D. L. Verbyla. 1999. Effect of scan angle on AVHRR fire detection accuracy in interior Alaska. International Journal of Remote Sensing. 20:3437-3443.

  • Hall, D. K., J. L. Foster, D. L. Verbyla, A. G. Klein, and C. S. Benson. 1998. Assessment of snow-cover mapping accuracy in a variety of vegetation-cover densities in central Alaska. Remote Sensing of Environment. 66:129-137.

  • Hammond, T. O. and D. L. Verbyla. 1996. Optimistic bias in classification accuracy assessment. International Journal of Remote Sensing. 17:1261-1266.

  • Verbyla, D. L. and C. A. Richardson. 1996. Remote sensing clearcut areas within a forested watershed: comparing SPOT HRV, panchromatic, SPOT HRV multispectral, and Landsat Thematic Mapper data. Journal of Soil and Water Conservation. 51:423-426.

  • Verbyla, D. L. and T. O. Hammond. 1995. Conservative Bias in Classification Accuracy Assessment due to Pixel-by-Pixel Comparisonof Classified Images with Reference Grids. International Journal of Remote Sensing. 16:581-587.

  • Chang, K., Verbyla, D. L and J. J.Yeo. 1995. Spatial Analysis of habitat selection by Sitka black tailed deer in southeastern Alaska. Environmental Management. 19:579-589.

    • Landscape Slides

    Last modified April 2005

    email: D.Verbyla@uaf.edu