Contribution of climate, soil, and modis predictors when modeling forest invasive species distribution using forest inventory data

American Society for Photogrammetry and Remote Sensing Annual Conference 2010: Opportunities for Emerging Geospatial Technologies

Volumn 2, Issue , 2010, Pages 820-827

  Salajanu, Dumitru ^a   Jacobs, Dennis M ^a  

^a USDA FOREST SERVICE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION RESULTS; CLIMATE INFORMATION; DATA SETS; FOREST INVENTORY; FOREST INVENTORY AND ANALYSIS; FOREST INVENTORY DATA; FORESTED AREA; GEO-SPATIAL; GEO-SPATIAL DATA; INVASIVE SPECIES; NON-NATIVE; NON-NATIVE SPECIES; PREDICTIVE MODELS; PREDICTOR VARIABLES; RELATIVE CONTRIBUTION; SOIL GROUPS; SOIL PROPERTY; STAND -ALONE;

CLASSIFICATION (OF INFORMATION); FORESTRY; GEOLOGIC MODELS; PHOTOGRAMMETRY; QUALITY CONTROL; RADIOMETERS; REMOTE SENSING; SATELLITE IMAGERY; SOILS; SPATIAL DISTRIBUTION;

CLIMATE MODELS;

CLASSIFICATION; CLIMATES; FORESTRY; INFORMATION RETRIEVAL; MODELS; QUALITY CONTROL; REMOTE SENSING; SATELLITES; SOIL;

EID: 84868527387     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Aragon, R., and M. Groom, 2003. Invasion by Ligustrum lucidum in NW Argentina: early stage characteristics in different habitat types, Biologia Tropical, 51(1):59-38.
2. Blackard, J.A., M.V. Finco, E.H. Helmer, G.R. Holden, M.L. Hoppus, D.M. Jacobs, A.J. Lister, G.G. Moisen, M.D. Nelson, R. Riemann, B. Ruefenacht, D. Salajanu, D.L. Weyermann, K.C. Winterberger, T.J. Brandeis, R.L. Czaplewski, R.E. McRoberts, P.L. Patterson, and R.P. Tymcio, 2008. Mapping U.S. forest biomass using nationwide forest inventory data and moderate resolution information, Remote Sensing of Environment, 112(2008):1658-1677.
3. Borry, F.C., B.P. DeRoover, R.R. DeWulf, and R.E. Goossens, 1990. Assessing the value of monotemporal SPOT-1 imagery for forestry applications under Flemish conditions, Photogrammetric Engineering and Remote Sensing, 56(8):114-1153.
4. Busch, D.E. and S.D. Smith, 1995. Mechanisms associated with decline of woody species in riparian ecosystem of the southwestern U.S., Ecol. Monogr., 65:347-370.
5. Chavez, P.S., Jr., 1986. Digital merging of Landsat TM and digitized NHAP data for 1:24,000 scale image mapping, Photogrammetric Engineering and Remote Sensing, 52(10):1637-1646.
6. Chavez, P.S., Jr., S.C. Sides, and J.A. Anderson, 1991. Comparison of three different methods to merge multiresolution and multispectral data: Landsat TM and SPOT panchromatic, Photogrammetric.
7. Cohen, Jacob, 1960. A coefficient of agreement for nominal scales, Educational and Psychological Measurement, 20(1):37-40.
8. Conner, R.C., T. Adams, B.J. Butler, W.A. Bechtold, T.G. Johnson, S.N. Oswalt, G. Smith, S.W. Wolf, and C.W. Woodall, 2004. The state of South Carolina's forests, 2001, 67 p.
9. Cooke, W.H. III, D.M. Jacobs, 2005. Rapid classification of Landsat TM imagery for phase 1 stratification using the automated NDVI threshold supervised classification (ANTSC) methodology, In: Proceedings of the fourth annual forest inventory and analysis symposium, 2002 November 19-21 New Orleans, LA. Gen. Tech. Rep. NC-252. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station, pp. 81-86.
10. Evans, R.D., R. Rimer, L. Sperry, and J. Belnap, 2001. Exotic plant invasion alters nitrogen dynamics in an arid grassland, Ecological Applications, 11(5):1301-1310.
11. Levine, J.M., M. Vila, C.M. D'Antonio, J.S. Dukes, K. Grigulis, and S. Lavorel, 2003. Mechanisms underlying the impacts of exotic plant invasions, Proceedings of the Royal Society, 270:775-781.
12. Martin, P.H., 1999. Norway maple invasion of a natural forest stand: understory consequences and regeneration pattern, Biol. Invasions, 1:215-222.
13. Ruefenacht, B., M.V. Finco, M.D. Nelson, R. Czaplewski, E.H. Helmer, J.A. Blackard, G.R. Holden, A.J. Lister, D. Salajanu, D. Weyermann, and K. Winterberger, 2008. Conterminous U.S. and Alaska forest types mapping using forest inventory and analysis data, Photogrammetric Engineering and Remote Sensing, 74(11):1379-1388.
14. Salajanu, D., and C.E. Olson Jr., 2001. The significance of spatial resolution: Identifying forest cover from satellite data, Journal of Forestry, 99(6):32-38.
15. Salajanu, D., and D.M. Jacobs, 2006. The effect of using complete and partial forested FIA plot data on biomass and forested area classifications from MODIS satellite data, American Society of Photogrammetry and Remote Sensing 2006 Annual conference, Reno, Nevada, May 1-5, 2006.