McRoberts, R.E., Nelson, M.D., and Wendt, D.G. 2002. Stratified
estimation of forest area using satellite imagery, inventory
data, and the k-nearest neighbors technique. Remote Sensing
of Environment, 82(2-3): 457-468.
Sawaya, K.E., Olmanson., L.G., Heinert, N.J., Brezonik.
P.L., and Bauer, M.E. 2003. Extending satellite remote sensing
to local scales: Land and water resource monitoring using
high-resolution imagery. Remote Sensing of Environment, 88(1-2):
144-156.
Journal Articles – In Progress
Finley, A.O., Loeffelholz , B.C., Ek, A.E., and Bauer, M.E.
(In progress). Comparison of the K-nearest Neighbor algorithms
and traditional classification methods in North American
Hardwood Stands.
Haapanen, R., Ek, A. R., Finley, A.O., and Bauer, M.E. (In
progress). K-Nearest Neighbors based estimation and mapping
of forest stand volume and cover type using the new FIA plot
design.
Rich, R. L., Loeffelholz, B.C., Sawaya, K.E., Frelich, L.E.,
Reich, P.B., and Bauer M.E. (Submitted/In review). Coupling
high-resolution satellite imagery and field data to predict
forest blowdown across a gradient of disturbance severity.
Ecological Applications.
Yuan, F., Bauer, M.E., Sawaya, K.E., and Loeffelholz, B.C.
(Submitted/In review). Land Cover Mapping and Change Analysis
in the Twin Cities (Minnesota) Metropolitan Area using Landsat
Remote Sensing. Remote Sensing of Environment.
Proceedings Papers
McRoberts, R.E., Franco-Lopez, H., Ek, A.R.,
and Bauer, M.E. 2000. Using remotely sensed imagery to
extend forest inventory
field plot data to large areas. Heuvelink, G.B.M. and
Lemmens, M.J.P.M., (eds.). Accuracy 2000: Proceedings of
the 4th
International Symposium on Spatial Accuracy Assessment
in Natural Resources and Environmental Sciences, Amsterdam,
2000, 465-472.
Kerns, R.R.,
Burk, T.E., and Bauer, M.E. 2002. Taking GIS/remote sensing
into the field. 2001. In: Proceedings
of the 1st
Precision Forestry Symposium, 51-59, University of Washington
Press, 202 pp.
Technical Reports/Thesis
Abdela, Ebrahim. 2004. Evaluation of per-pixel vs. object-based
classifications of high resolution imagery: Cloquet Forestry
Center, Minnesota. M.S. Thesis. Department of Forest Resources,
University of Minnesota.
Haapanen, R. and Ek, A.R. 2001. Software and instructions
for kNN applications in forest resources description and
estimation. Staff Paper Series Number 152. Department of
Forest Resources, University of Minnesota, St. Paul. 24 pp.
Holden, Geoffrey. 2003. Detecting Oak Wilt in Eagan, Minnesota
Using High Resolution Satellite Imagery. M.S. Thesis. Department
of Geography, University of Minnesota.
Kerns, Rick. 2002. A spatial aware regeneration survey application.
M.S. Thesis. Department of Forest Resources, University of
Minnesota.
Sawaya, Kali. 2000. Integrating Satellite Remote Sensing
into Northeastern Minnesota Post-storm Forest Research and
Management Efforts. M.S. Thesis. Department of Forest Resources,
University of Minnesota.
