Integration of gis data and classified satellite imagery for regional forest assessment

Ecological Applications

Volumn 8, Issue 4, 1998, Pages 1072-1083

  He, Hong S ^a   Mladenoff, David J ^a   Radeloff, Volker C ^a   Crow, Thomas R ^b  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b USFS Forest Science Laboratory   (United States)

Author keywords

Associated species; Data integration; Ecoregion; Forest inventory; Forest Inventory and Analysis; Forest landscape modeling; Geographic Information Systems; Landsat Thematic Mapper; Satellite forest classification; Secondary species; Stand age; Subcanopy

Indexed keywords

ECOSYSTEM MANAGEMENT; FOREST; GIS; SATELLITE IMAGERY; VEGETATION MAPPING;

PINUS STROBUS;

EID: 0031791830     PISSN: 10510761     EISSN: None     Source Type: Journal    
DOI: 10.1890/1051-0761(1998)008[1072:IOGDAC]2.0.CO;2     Document Type: Article

References (32)

1. Bailey, R. G. 1988. Ecogeographic analysis: a guide to the ecological division of land for resource management. U.S. Forest Service Miscellaneous Publication Number 1645.
2. Bauer, M. E., T. E. Burk, A. R. Ek, P. R. Copping, S. D. Lime, T. A. Walsh, D. K. Walters, W. Befort, and D. F. Heinzen. 1994. Satellite inventory of Minnesota forest resources. Photogrammetric Engineering and Remote Sensing 60:287-298.
3. Birdsey, R. A., and H. T. Schreuder. 1992. An overview of forest inventory and analysis estimation procedures in the eastern United States - with an emphasis on the components of change. U.S. Forest Service General Technical Report RM-214.
4. Cohen, W. B., T. A. Spies, and M. Fiorella. 1995. Estimating the age and structure of forests in a multi-ownership landscape of western Oregon, USA. International Journal of Remote Sensing 16:721-746.
5. Curtis, J. T. 1959. The vegetation of Wisconsin. University of Wisconsin Press. Madison, Wisconsin, USA.
6. Fiorella, M., and W. J. Ripple. 1993. Determining successional stage of temperate coniferous forests with Landsat satellite data. Photogrammetric Engineering and Remote Sensing 59:23-246.
7. Flader, S. 1983. The Great Lakes forest. University of Minnesota Press, Minneapolis, Minnesota, USA.
8. Franklin, J. 1986. Thematic Mapper analysis of coniferous forest structure and composition. International Journal of Remote Sensing 7:1287-1301.
9. Franklin, J., T. L. Logan, C. E. Woodcock, and A. H. Strahler. 1986. Coniferous forest classification and inventory using Landsat and digital terrain data. IEEE Transactions on Geoscience and Remote Sensing GE-24:139-149.
10. Ghitter, G. S., R. J. Hall, and S. E. Franklin. 1995. Variability of Landsat Thematic Mapper data in boreal deciduous and mixed-wood stands with coniferous understory. International Journal of Remote Sensing 16:2989-3002.
11. Hahn, J. T., and M. H. Hansen. 1985. Data bases for forest inventories in the North-central region. U.S. Forest Service General Technical Report NC-101.
12. Hall, F. G., D. B. Botkin, D. E. Strebel, K. D. Woods, and S. J. Goetz. 1991. Large-scale patterns of forest succession as determined by remote sensing. Ecology 72:628-640.
13. Hansen, M. H., T. Frieswyk, J. F. Glover, and J. F. Kelly. 1992. The Eastwide forest inventory data base: user's manual. U.S. Forest Service General Technical Report NC-151.
14. He, H. S., and D. J. Mladenoff. 1999. Dynamics of fire disturbance and succession on a heterogeneous forest landscape: a spatially explicit and stochastic simulation approach. Ecology, in press.
15. Host, G. E., P. L. Polzer, D. J. Mladenoff, M. A. White, and T. R. Crow. 1996. A quantitative approach to developing regional ecosystem classifications. Ecological Applications 6:608-618.
16. Iverson, L. R., and A. M. Prasad. 1998. Predicting abundance of 80 tree species following climate change in the eastern United States. Ecological Monographs 68:465-485.
17. Lachowski, H., P. Maus, and B. Platt. 1992. Integrating remote sensing with GIS: procedures and examples from the Forest Service. Journal of Forestry 90:16-21.
18. Lytle, D. J., N. B. Bliss, and S. W. Wlatman. 1996. Interpreting the State Soil Geographic Database (STATSGO). Pages 49-52 in M. Goodchild, L. T. Steyaert, and B. O. Parks, editors. GIS and environmental monitoring. GIS World Books, Fort Collins, Colorado, USA.
19. Mladenoff, D. J., and G. E. Host. 1994. Ecological perspective: current and potential applications of remote sensing and GIS to ecosystem analysis. Pages 218-242 in V. A. Sample, editor. Remote sensing and GIS in ecosystem management. Island Press, Washington, D.C., USA.
20. Mladenoff, D. J., G. E. Host, J. Boeder, and T. R. Crow. 1996. LANDIS: a spatial model of forest landscape disturbance, succession and management. Pages 175-179 in M. Goodchild, L. T. Steyaert, and B. O. Parks, editors. GIS and environmental monitoring. GIS World Books. Fort Collins, Colorado, USA.
21. Mladenoff, D. J., and J. Pastor. 1993. Sustainable forest ecosystems in the northern hardwood and conifer forest region: concepts and management. Pages 145-180 in G. H. Aplet, N. O. Johnson, J. T. Olson, and V. A. Sample, editors. Defining sustainable forestry. Island Press, Washington, D.C., USA.
22. Mladenoff, D. J., M. A. White, J. Pastor, and T. R. Crow. 1993. Comparing spatial pattern in unaltered old-growth and disturbed forest landscapes. Ecological Applications 3: 294-306.
23. Pastor, J., and D. J. Mladenoff. 1992. The southern boreal-northern hardwood forest border. Pages 216-240 in H. H. Shugart, R. Leemans, and G. A. Bonan, editors. A systems analysis of the global boreal forest. Cambridge University Press, Cambridge, UK.
24. Pastor, J., and D. J. Mladenoff. 1993. Modeling the effects of timber management on population dynamics, diversity and ecosystem processes. Pages 16-29 in D. C. LeMaster and R. A. Sedjo, editors. Modeling sustainable forest ecosystems. Forest Policy Center, American Forests, Washington, D.C., USA.
25. Soil Survey Staff. 1992. State soil geographic database (STATSGO) data user's guide. U.S. Department of Agriculture Soil Conservation Service Miscellaneous Publication Number 1492.
26. Spanner, M. A., L. L. Pierce, D. L. Peterson, and S. W. Running. 1990. Remote sensing of temperate coniferous forest leaf area index: the influence of canopy closure, understory vegetation and background reflectance. International Journal of Remote Sensing 11:95-111.
27. Stenback, J. M., and R. G. Congalton. 1990. Using Thematic Mapper imagery to examine forest understory. Photogrammetric Engineering and Remote Sensing 56:1285-1290.
28. Woher, P. T., D. J. Mladenoff, G. E. Host, and T. R. Crow. 1995. Improved forest classification in the Northern Lake States using multi-temporal Landsat imagery. Photogrammetric Engineering and Remote Sensing 61:1129-1143.
29. Woodcock, C. E., J. B. Collins, S. Gopal, V. D. Jakabhazy, X. Li, S. Macomber, S. Ryherd, V. J. Harward, J. Levitan, Y. Wu, and R. Warbington. 1994. Mapping forest vegetation using Landsat TM imagery and a canopy reflectance model. Remote Sensing of Environment 50:240-254.
30. Woodcock, C. E., S. Gopal, and W. Albert. 1996. Evaluation of the potential for providing secondary labels in vegetation maps. Photogrammetric Engineering and Remote Sensing 62:393-399.
31. Woodcock, C. E., and J. Harward. 1992. Nested-hierarchical scene models and image segmentation. International Journal of Remote Sensing 13:3167-3187.
32. ZedX. 1994. Database description: Minnesota, Wisconsin and Michigan. Hi-Rez Data Climatological Services, Boulsburg, Pennsylvania, USA.