USDA Forest Service
 

Pacific Northwest Forest Inventory and Analysis

 
 
US Forest Service
Pacific Northwest
Research Station
Region 6
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Pacific Northwest Forest Inventory and Analysis
620 SW Main, Suite 400
Portland, OR 97205

P. O. Box 3890
Portland, OR 97208-3890

(503) 808-2000

US Forest Service

Pacific Northwest Research Station Pacific Northwest Forest Inventory and Analysis

Models Publications


These publications can be accessed by selecting a publication to download. All of our electronic publications require the Acrobat Reader program. You can download the Acrobat Reader free of charge.


2008

Fried, J.S., J.K. Gilless, W.J. Riley, T.J. Moody, C. Simon de Blas, K. Hayhoe, M. Moritz, S. Stephens, and M.S. Torn. 2008. Predicting the effect of climate change on wildfire behavior and initial attack success. Climatic Change 87 (Suppl 1):S251-S264.

 

 

2008

Temesgen, H., Monleon, V.J., and Hann, D.W. 2008. Analysis and comparison of nonlinear tree height prediction strategies for Douglas-fir forests. Canadian Journal of Forest Research 38: 553-565.

 

 

2007

Daugherty, P.J. and J.S. Fried. 2007. Jointly optimizing selection of fuel treatments and siting of biomass facilities for landscape-scale fire hazard reduction. INFOR: Information Systems and Operational Research 45(1):353-372.  

2007

Fried, J.S. and J. Barbour. 2007. Evaluating opportunities for biomass facility siting and economic feasibility of landscape-scale fuel treatment. In Gonzalez-Caban et al., eds, Fire Social Science Research-Selected Research Highlights. PNW GTR-736, pp. 31-34.

 

 

2007

Haight, R.G. and J.S. Fried. 2007. Optimizing Initial-Attack Force with a Standard-Response Siting Model. Information Systems and Operations Research. 45(1): 385-398.

 

 

2007

Kennedy, R.E., W.B. Cohen, and T.A. Schroeder. 2007. Trajectory-based change detection for automated characterization of forest disturbance dynamics. Remote Sensing of Environment 110(3):370-386.

 

 
2006

Barrett, T.M. 2006. Optimizing the efficiency of height modeling for extensive forest inventories. Can. J. For. Res. 36(9): 2259-2269.

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2006

Fried, J.S., J.K. Gilless, W.J. Riley, T.J. Moody, C. Simon de Blas, K. Hayhoe, M. Moritz, S. Stephens, and M.S. Torn. 2006. Predicting the effect of climate change on wildfire severity and outcomes in Californina: a preliminary analysis. White paper CEC_500-2005-196-SF prepared for the California Energy Commission’s Governor’s Science Report

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2006

Fried, J.S.; Gilless, K.J.; Spero, J. 2006. Analysing initial attack on wildland fires using stochastic simulation. International Journal of Wildland Fire 15: 137-146.

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2005

Bilek, E.M.; Skog, K.E.; Fried, J.S.; and Christensen, G. 2005. Fuel to burn: economics of converting forest thinnings to energy using BioMax in Southern Oregon. Gen. Tech. Rep. FPL-GTR-157. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory. 27 p.

 

 
2005

Fried, J.S., Christensen, G.; Weyermann, D.; Barbour, R.J.; Fight, R.; Hiserote, B.; and Pinjuv, G. 2005. Modeling opportunities and feasibility of siting wood-fired electrical generating facilities to facilitate landscape-scale fuel treatment with FIA BioSum. In: Bevers, Michael; Barrett, Tara M., comps. Systems Analysis in Forest Resources: Proceedings of the 2003 Symposium; October 7-9, Stevenson, WA. PNW-GTR-656. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, pp. 195-204

 

 
2005

Laurent, E.J.; Shi, H.; Gatziolis, D. [and others]. 2005. Using the spatial and spectral precision of satellite imagery to predict wildlife occurrence patterns. Remote Sensing of Environment. 97: 249-262.

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2005

Ohmann, J.L.; Wimberly, M.C.; Fried, J.S.; Pierce, K.B.; and Gregory, M.J. 2005. A novel approach to regional fuel mapping: linking inventory plots with satellite imagery and GIS databases using the gradient nearest neighbor method. Final Report to the Governing Board, Joint Fire Science Program on Project 01-1-4-09. 60 p.

 

 
2004
Barrett, T.M.;Fried, J.S. 2004. Inventory: modeling. 2004. In: Encyclopedia of forest science. Elsevier: 426-433.

 
2004

Corne, S.; Carver, S.; Kunin, W.; Lennon, J. van Hees, W.W.S. 2004. Predicting forest attributes in southeast Alaska using artificial neural networks. Forest Science. 50(2): 259-276.

 
2004

Fried, J.; Christensen, G. 2004. FIA BioSum: a tool to evaluate financial costs, opportunities and effectiveness of fuel treatments. Western Forester. 49(5): 12-13.

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2004 Gatziolis, D.; Fried, J.S. 2004. Adding Gaussian noise to inaccurate digital elevation models improves spatial fidelity of derived drainage networks. Water Resources Research. 40: 1-14.

 
2004

Liang, J.; Buongiorno, J.; Monserud, R.A. 2004. CalN2003Pro: a spreadsheet program of the management of California mixed-conifer stands. Gen. Tech. Rep. PNW-GTR-619. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 32 p.

 
2004 Ralston, R.E.; Buongiorno, J.; Fried, J.S. 2004. Potential yield, return, and tree diversity of managed, uneven-aged Douglas-fir stands. Silva Fennica. 38(1): 55-70.

 
2003 Fried, J. S.; Barbinour, R.; Fight, R. 2003.  FIA Biosum: Applying a multiscale evaluation tool in southwest Oregon.  Journal of Forestry. 101(2):p. 8(1)..  
2003 Kline, J.; Azuma, D.L.; Moses, A. 2003. Modeling the spatially dynamic distribution of humans in the Oregon (USA) Coast Range. Landscape Ecology. 18: 347-361.

 
2003 Monleon, V.J. 2003. A Hierarchical Linear Model for Tree Height Prediction. Proceedings of the 2003 meeting of the American Statistical Association, section on statistics and the environment. Alexandria, VA. Place of publication unknown p. 2865-2869.

 
2003 Ralston, R.; Buongiorno, J.; Schulte, B.; Fried, J.S. 2003. Non-linear matrix modeling of forest growth with permanent plot data: the case of uneven-aged Douglas-fir stands. International Transactions in Operational Research. 10: 461-482.

 
2003

Ralston, R.; Buongiorno, J.; Schulte, B.; Fried, J.S.  2003.  WestPro: a computer program for simulating uneven-aged Douglas-fir stand growth and yield in the Pacific Northwest. Gen. Tech. Rep. PNW-GTR-574. Portland, OR : U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 25 p.

 
2000

Corne, S.A.; Carver, S.J.; Kunin, W.E. [and others]. 2000. Using artificial neural network methods to predict forest characteristics in southeast Alaska. In: Proceedings of the 4th international conference on integrating GIS and environmental modeling (GIS/EM4): problems, prospects, and research needs; Banff, AB; Sept. 2-8, 2000. [Place of publication unknown]: [Publisher unknown]: [Pages unknown].

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US Forest Service - Pacific Northwest Forest Inventory and Analysis
Last Modified: Thursday, 28 March 2013 at 13:18:02 CDT


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