Pacific Northwest Forest Inventory and Analysis

2008

Eskelson, B.N.I.; Temesgen, H.; Barrett, T.M. 2008. Comparison of stratified and non-stratified most similar neighbour imputation for estimating stand tables. Forestry 81:2:125-134.

2008

Fried, J.S. and X. Zhou. 2008. Forest Inventory-Based Estimation of Carbon Stocks and Flux in California Forests in 1990. Gen. Tech. Rep. PNW-GTR-750. Portland, OR: U.S. Forest Service, Pacific Northwest Research Station. 32 p.

2008

Woodall, C.W. and Monleon, V.J. 2008. Sampling protocol, estimation, and analysis procedures for the down woody materials indicator of the FIA Program, 2nd edition. Gen. Tech. Rep. NRS-22. St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station. 68 p.

Andersen, Hans-Erik; Breidenbach, Johannes. 2007. Statistical properties of mean stand biomass estimators in a LIDAR-based double sampling forest survey design. Finland: ISPRS Workshop on Laser Scanning 2007 and SilviLaser 2007. IAPRS Volume XXXVI, Part 3 / W52.

Andersen, Hans-Erik; Reutebuch, Stephen E.; McGaughey, Robert J. 2006. Active remote sensing. In: Shao, G.; Reynolds, K.M., eds. Computer applications in sustainable forest management: including perspectives on collaboration and integration. The Netherlands: Springer-Verlag: 43-66.

Barrett, Tara M.; Zurring, Hans R.; Christopher, Treg. 2007. Interpretation of forest characteristics from computer-generated images. In: Landscape and Urban Planning. Volume 80, Issue 4, 20 May 2007, Pages 396-403.

Kelly, Maggi; Ueda, Ken-ichi; Allen-Diaz, Barbara. Considerations for ecological reconstruction of historic vegetation: Analysis of the spatial uncertainties in the California Vegetation Type Map dataset. 2007. In: Plant Ecology, Volume 194, Number 1 / January, 2008.

McGaughey, R.J.; Reutebuch, S.E.; Andersen, H.E. 2007. Creation and use of LIDAR intensity images for natural resource applications. In: Proceedings of the 21st biennial workshop on aerial photography, videography, and high resolution digital imagery for resource assessment. Bethesda, MD: American Society of Photogrammetry and Remote Sensing. 12 p.

Schroeder, Todd A.; Cohen, Warren B.; Yang, Zhiqiang. 2007. Patterns of forest regrowth following clearcutting in western Oregon as determined from a Landstat time-series. In: Forest Ecology and Management, Volume 243, Issues 2-3, 31 May 2007, Pages 259-273.

Song, C., Schroeder, T. A. Cohen, W. B. 2007. Predicting Temperate Conifer Forest Successional Stage Distributions with Multitemporal Landsat Thematic Mapper Imagery. Remote Sensing of Environment, 106: 228-237.

Temesgen, Hailemariam; Hann, David W.; Monleon, Vincente J. 2007. Regional Height-Diameter Equations for Major Tree Species of Southwest Oregon. In: Western Journal of Applied Forestry, Volume 22, Number 3, July 2007, pp. 213-219(7).

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

Andersen, H.-E., S.E. Reutebuch, and R. J. McGaughey. 2006. A rigorous assessment of tree height measurements obtained using airborne lidar and conventional field methods. Canadian Journal of Remote Sensing. 32(5):355-366.

Fiala, A.C.; Garman, S.L.; Gray, A.N. 2006. Comparison of five canopy cover estimation techniques in the western Oregon Cascades. Forest Ecology and Management. 232: 188-197.

2006

Gatziolis, D. 2006. Forest Stand Canopy Structure Attribute Estimation from High Resolution Digital Airborne Imagery. In: Aguirre-Bravo, C.; Pellicane, Patrick J.; Burns, Denver P.; and Draggan, Sidney, Eds. 2006. Monitoring Science and Technology Symposium: Unifying Knowledge for Sustainability in the Western Hemisphere Proceedings RMRS-P-42CD. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. 783-789

Schroeder, Todd A.; Cohen, Warren B.; Song, Conghe; Canty, Morton J.; Yang, Zhiqiang 2006. Radiometric correction of multi-temporal Landsat data for characterization of early successional forest patterns in western Oregon. Remote Sensing of Environment, Vol. 103: 16-26

Brandeis, Thomas J.; Kuegler, Olaf; Knowe, Steven A. 2005. Equations for merchantable volume for subtropical moist and wet forests of Puerto Rico. Res. Pap. SRS-39. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station.15 p.

Bevers, M.; Barrett, T.M., eds. 2005. Systems analysis in forest resources: Proceedings of the 2003 Symposium. Gen. Tech. Rep. PNW-GTR-656. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacifici Northwest Research Station. 366 p.

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.

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.

Monleon, V.J.; Azuma, D.; Gedney, D. 2004. Equations for predicting uncompacted crown ratio based on compacted crown ratio and tree attributes. Western Journal of Applied Forestry. 19(4): 260-267.

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].