The Rural Technology Initiative ceased operations in 2011. This site is maintained as an archive of works from RTI collaborators from 2000 to 2011 and is no longer updated. RTI's successor and remaining staff can be found at NRSIG.org


     
 
   
Search the RTI Website
 
Click to go to the Precision Forestry Cooperative website
Click to go to the RTI Home page
Click to go to the About RTI page
Click to go to the RTI Projects page
Click to go to the RTI Publications page
Click to go to the RTI Tools page
Click to go to the RTI Geographic Information Systems page
Click to go to the RTI Streaming Video Directory
Click to go to the RTI Training page
Click to go to the RTI Contacts page
Click to go to the RTI Image Archive
Click to go to the RTI Site Map
Click to go to the RTI Links page


REFERENCES

  • Conrad, R.H., B. Fransen, S. Duke, M. Liermann, and S. Needham. 2003. The development and assessment of the preliminary model for identifying fish habitat in western Washington. Draft report prepared for Washington Dept. Natural Resources Instream Scientific Advisory Group.
  • Costa-Cabral, M. C. and S. J. Burges. 1994. Digital elevation model networks (DEMON): A model of flow over hillslopes for computation of contributing and dispersal areas. Water Resources Research, 30, 6, 1681-1692
  • Daly, C., C. Taylor, and G. Taylor. 1988. 1961-1990 Mean Monthly Precipitation Maps for the Conterminous United States. Oregon State University Spatial Climate Analysis Service
  • Daly, C., C. Taylor, and G. Taylor. 2000. 1971-2000 Mean Monthly Precipitation Maps for the Conterminous United States. Oregon State University Spatial Climate Analysis Service
  • Damian, F. 2001. Improving cross drain culvert spacing with GIS interactive design tool. The International Mountain Logging and 11th Pacific Northwest Skyline Symposium.
  • Endreny, T. A., and Wood, E. F. 2003. Maximizing spatial congruence of observed and DEM-delineated overland flow networks. Int. J. Geographical Information Science. Vol. 17, No. 7, February 2003, pp. 699-713
  • Endreny, T. A., and Wood, E. F. 2001. Representing elevation uncertainty in runoff modeling and flowpath mapping. Hydrologic Processes. 15, 2223-2236 (2001)
  • Haugerud, R.A., and D. J. Harding. 2001. Some algorithms for virtual deforestation (VDF) of LiDAR topographic survey data. International Archives of Photogrammetry and Remote Sensing. XXXIV-3/W4, p. 211-217. duff.geology.washington.edu/data/raster/LiDAR/vdf4.pdf (March 2003).
  • Jenson S. K. and J. O. Domingue. 1988. Extracting topographic structure from digital elevation data for geographic information systems analysis. Photogrammetric Engineering and Remote Sensing. Vol. 54, No. 11, pp. 1593-1600
  • Latterell, J. J., R. J. Naiman, B. R. Fransen, and P. A. Bisson. 2003. Physical constraints on trout (Oncorhynchus spp.) distribution in the Cascade Mountains: A comparison of logged and unlogged streams. Canadian Journal of Aquatic and Fisheries Sciences 60:1007-1017.
  • Luijten, J, 2000. Dynamic hydrological modeling using ArcView GIS. ArcUser, July-Sept. 2000. http://www.esri.com/news/arcuser/0700/hydro.html
  • Montgomery, D. R. and W. E. Dietrich. 1992. Channel initiation and the problem of landscape scale. Science, 255: 826-830.
  • Montgomery, D.R., and E. Foufoula-Georgiou. 1993. Channel network source representation using digital elevation models. Water Resources Research, 29, 12, 3925-3934
  • Moore, I. D., R. B. Grayson and A. R. Ladson. 1991. Digital terrain modelling: A review of hydrological, geomorphological, and biological applications. Hydrological Processes, 5(1): 3-30.
  • Moore, I. D. and R. B. Grayson. 1991. Terrain-based catchment partitioning and runoff prediction using vector elevation data. Water Resources Research, 27, 6, 1177-1191
  • North Carolina Flood Plain Mapping Program. 2003. LiDAR and digital elevation data. Jan. 2003, http://www.ncfloodmaps.com/pubdocs/LiDAR_final_jan03.pdf. Accessed January 10, 2005
  • O'Callaghan, J. F., and D. M. Mark. 1984. The extraction of drainage networks from digital elevation data. Comput. Vision Graphics Image Processing, 28, 323-344
  • Oladi, D. 2001. Developing a forest growth monitoring model using thematic mappery imagery. Proc. ACRS 2001 - 22nd Asian Conference on Remote Sensing, 5-9 November 2001, Singapore. Vol. 2, pp. 1457-1462
  • Pan, F., C. D. Peters-Lidard, M. J. Sale, A. W. King. 2004. A comparison of geographical information systems-based algorithms for computing the TOPMODEL topographic index. Water Resource Research, 40.
  • Quinn, P. F., K. J. Beven, P. Chevallier, and O. Planchon. 1991. The prediction of hillslope flow paths for distributed hydrological modeling using digital terrain models. Hydrol. Processes, 5, 59-80
  • Renslow, M. S. 2001. Development of a bare ground DEM and canopy layer in NW forestlands using high performance LiDAR. Int'l User Conf., ESRI.
  • Schiess, P. and A. Mouton, 2005. North Fork Mineral Creek access and transportation strategy. Techn. Report, University of Washington, WA. Spring 2005
  • Schiess, P. and J. Tyrall, 2002. DNR Hydro and LiDAR streams areas in buffers, Hydro and LiDAR http://courses.washington.edu/fe451/projects/02_tyee/Presentation/Presentation_2002_files/frame.htm
  • Schiess, P. and J. Tryrall, 2003. Developing a road system strategy for the Tahoma State Forest. Techn. Report, University of Washington, WA.
  • Schiess, P. and Krogstad, F. 2003. LiDAR-based topographic maps improve agreement between office-designed and field-verified road locations. Proceedings of the 26th Annual Meeting of the Council on Forest Engineering,, Bar Harbor, Maine, USA, 7-10 September, 2003
  • Shamayleh, H,. and A. Khattak. 2003. Utilization of LiDAR technology for highway inventory. Mid-Continent Transportation Research Symposium, Ames, Iowa, August 21-22, 2003.
  • Soil Survey Staff. 1998. Official series description - Bellicum, Cattcreek, and Cotteral series. Natural Resources Conservation Service, United States Department of Agriculture. Retrieved May 6, 2005 from http://ortho.ftw.nrcs.usda.gov/cgi-bin/osd/osdname.cgi
  • Strahler, A.N. 1957. Quantitative analysis of watershed geomorphology. Transactions of the American Geophysical Union 38, 913-920.
  • Tarboton, D. G., R. L. Bras, and I. Rodriquez-Iturbe. 1991. On the extraction of channel networks from digital elevation data. Hydrol. Proc., 5, 81-100
  • Tarboton, D. G. 1997. A new method for the determination of flow direction and upslope areas in grid digital elevation models. Water Resour. Res., 33(2), 309-319
  • Tarboton, D. G. 2003. Terrain analysis using digital elevation models in hydrology. 23rd ESRI International Users Conference, San Diego, California, July 7-11 2003
  • Terrapin Environmental. 2003. Water typing model gield validation study design approach and procedures. Westside Water Type Model Validation Plan, Dec. 8, 2003
  • Wilson J. P. and J. C. Gallant (editors). 2000. Terrain analysis: Principles and Applications. New York, John Wiley and Sons
  • Wolock, D. M., and G. J. McCabe. 1995. Comparison of single and multiple flow direction algorithms for computing topographic parameters. Water Resour. Res., 31(5), 1315-1324
 
School of Environmental and Forest Sciences
USDA Forest Service State & Private Forestry
WSU Cooperative Extension
The Rural Technology Home Page is provided by the College of Forest Resources. For more information, please contact the Rural Technology Initiative, University of Washington Box 352100 Seattle, WA 98195, (206) 543-0827. © 2000-2004, University of Washington, Rural Technology Initiative, including all photographs and images unless otherwise noted. To view the www.ruraltech.org privacy policy, click here.
Last Updated 10/13/2022 11:34:39 AM