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.
Last modified April 2005
email:
D.Verbyla@uaf.edu