Mapping prairie pothole communities with multitemporal Ikonos satellite imagery

Photogrammetric Engineering and Remote Sensing

Volumn 72, Issue 2, 2006, Pages 169-174

  Lawrence, Rick ^a   Hurst, Rebecca ^a   Weaver, T ^a   Aspinall, Richard ^b  

^a MONTANA STATE UNIVERSITY   (United States)

^b ARIZONA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FORESTRY; VEGETATION;

CLASSIFICATION TREE ANALYSES; IKONOS IMAGERY; PRAIRIE POTHOLE COMMUNITIES;

IMAGE ANALYSIS;

IKONOS; MAPPING; PRAIRIE; REMOTE SENSING; SATELLITE IMAGERY;

FORESTRY; IMAGE ANALYSIS; PLANTS;

NORTH AMERICA; NORTH DAKOTA; UNITED STATES;

EID: 33144457273     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: 10.14358/PERS.72.2.169     Document Type: Article

References (42)

1. Allard, A., 2003. Detection of vegetation degradation on Swedish mountainous heaths at an early stage by image interpretation, Ambio, 32:510-519.
2. Campbell, J.R., and D. Lasley, 1969. The Science of Animals that Serve Mankind, McGraw-Hill, New York.
3. Carleer, A., and E. Wolff, 2004. Exploitation of very high resolution satellite data for tree species identification, Photogrammetric Engineering & Remote Sensing, 70:135-140.
4. Clark, D.B., C. Soto Castro, L.D. Alfaro Alvarado, and J.M. Read, 2004. Quantifying mortality of tropical rain forest trees using high-spatial- resolution satellite data, Ecology Letters, 7:52-59.
5. Clark, P.E., M.S. Seyfried, and B. Harris, 2001. Intermountain plant community classification using Landsat TM and SPOT HRV data, Journal of Range Management, 54:152-160.
6. Colombo, R., D. Bellingeri, D. Fasolini, and C.M. Marino, 2003. Retrieval of leaf area index in different vegetation types using high resolution satellite data, Remote Sensing of Environment, 86:120-131.
7. Congalton, R.G., and K. Green, 1999. Assessing the Accuracy of Remotely Sensed Data: Principles and Practices, Lewis Publishers, New York.
8. Coppin, P., I. Jonckheere, K. Nackaerts, B. Muys, and E. Lambin, 2004. Digital change detection methods in ecosystem monitoring: A review, International Journal of Remote Sensing, 25: 1565-1596.
9. Eastman, J.R., and M. Fulk, 1993. Long sequence time series evaluation using standardized principal components, Photogrammetric Engineering & Remote Sensing, 59:1307-1312.
10. Fung, T., and E. LeDrew, 1987. Application of principal components analysis to change detection, Photogrammetric Engineering & Remote Sensing, 53:1649-1658.
11. Goetz, S.J., R.K. Wright, A.J. Smith, E. Zinecher, and E. Schaub, 2003. ikonos imagery for resource management: Tree cover, impervious surfaces, and riparian buffer analyses in the mid-Atlantic region, Remote Sensing of Environment, 88:195-208.
12. Guo, X., K.P. Price, and J.M. Stiles, 2000. Modeling biophysical factors for grasslands in Eastern Kansas using Landsat TM data, Transactions of the Kansas Academy of Science, 103:122-138.
13. Holecheck, J.L., R.D. Piper, and C.H. Herbel, 1989. Range Management: Principles and Practices, Prentice Hall, Englewood Cliffs, New Jersey.
14. Huguenin, R.L., M.H. Wang, R. Biehl, S. Stoodley, and J.N. Rogers, 2004. Automated subpixel photobathymetry and water quality mapping, Photogrammetric Engineering & Remote Sensing, 70:111-123.
15. Jensen, M.E., J.P. Dibenedetto, J.A. Barber, C. Montagne, and P.S. Bourgeron, 2001. Spatial modeling of rangeland potential vegetation environments, Journal of Range Management, 54:528-536.
16. JiQun, Z., X. KaiQin, M. Watanabe, Y. YongHui, and C. XiuWan, 2004. Estimation of river discharge from non-trapezoidal open channel using Quickbird-2 satellite imagery, Hydrological Sciences Journal, 49:247-260.
17. Johnson, L.F., D.E. Roczen, S.K. Youkhana, R.R. Nemani, and D.F. Bosch, 2003. Mapping vineyard leaf area with multispectral satellite imagery, Computers and Electronics in Agriculture, 38:33-44.
18. Knick, S.T., J.T. Rotenberry, and T.J. Zarriello, 1997. Supervised classification of Landsat Thematic Mapper imagery in a semi-arid rangeland by nonparametric discriminate analysis, Photogrammetric Engineering & Remote Sensing, 63:79-86.
19. Laurenroth, W.K., 1979. Grassland primary production: North American grasslands in perspective, Perspectives in Grassland Ecology (N. French, editor), Springer-Verlag, New York, pp. 3-24.
20. Lawrence, R.L., and A. Wright, 2001. Rule-based classification systems using classification and regression tree (CART) analysis, Photogrammetric Engineering & Remote Sensing, 67:1137-1142.
21. Lee, D.S., J. Shan, and J.S. Bethel, 2003. Class-guided building extraction from Ikonos imagery, Photogrammetric Engineering & Remote Sensing, 69:143-150.
22. Maeder, J, S. Narumalani, D.C. Rundquist, R.L. Perk, J. Schalles, K. Hutchins, and J. Keck, 2002. Classifying and mapping general coral-reef structure using Ikonos data, Photogrammetric Engineering & Remote Sensing, 68:1297-1305.
23. Metternicht, G., 2004. Role of high-resolution satellite sensors: Precision farming today, GIM International, 18:40-43.
24. Muller, E., H. Decamps, and K. D. Michael, 1993. Contribution of space remote sensing to river studies, Freshwater Biology, 29:301-312.
25. Murphy, R. K., 1993. History, Nesting Biology, and Predation Ecology of Raptors in the Missouri Couteau of Northwestern North Dakota. Ph. D. dissertation, Montana State University, Bozeman, Montana.
26. National Aeronautics and Space Administration, 2004. Landsat 7 Science Data Users Handbook, URL: http://ltpwww.gsfc.nasa.gov/ IAS/handbook/ handbook_toc.html (last date accessed: 14 November 2005).
27. Palandro, D., S. Andrefouet, P. Dustan, and F.E. Muller-Karger, 2003. Change detection in coral reef communities using Ikonos satellite sensor imagery and historical photographs, International Journal of Remote Sensing, 24:873-878.
28. Pearse, C.K., 1971. Grazing in the middle-east: Past, present and future, Journal of Range Management, 24:13-16.
29. Petrie, G., 2001. Commercial high resolution space imagery: A very long gestation and a troubled birth!!, GeoInformatics, 4: 12-17.
30. Price, K.P., T.J. Crooks, and E.A. Martinko, 2001. Grasslands across time and scale: A remote sensing perspective, Photogrammetric Engineering & Remote Sensing, 67:414-420.
31. Price, K.P., X. Guo, and J.M. Stiles, 2002. Comparison of Landsat TM and ERS-2 SAR data for discriminating among grassland types and treatments in eastern Kansas, Computers and Electronics in Agriculture, 37:157-171.
32. Quinton, W.L., M. Hayashi, and A. Pietroniro, 2003. Connectivity and storage functions of channel fens and flat bogs in northern basins, Hydrological Processes, 17:3665-3684.
33. Rolling, R., and T. Dhuyvetter, 2003. Soil Survey of Burke County, ND, USDA Natural Resources Conservation Service, Washington, D.C. 384 p.
34. Sawaya, K.E., L.G. Olmanson, N.J. Heinert, P.L. Brezonik, and M.E. Bauer, 2003. Extending satellite remote sensing to local scales: Land and water resource monitoring using high-resolution imagery, Remote Sensing of Environment, 88:144-156.
35. Semlitsch, R.D., and J.R. Bodie, 1998. Are small, isolated wetlands expendable?, Conservation Biology, 12:1129-1133.
36. Smith, K., 1998. Lostwood National Wildlife Refuge Comprehensive Conservation Plan, U. S. Fish and Wildlife Service, Region 6, Lostwood National Wildlife Refuge.
37. Sudkem J.G., D.H. Johnson, B.R. Euliss, and M. Tooze, 2002. Monitoring black-tailed prairie dog colonies with high-resolution satellite imagery, Wildlife Society Bulletin, 30:405-411.
38. Sugumaran, R., D. Zerr, and T. Prato, 2002. Improved urban land cover mapping using multi-temporal Ikonos images for local government planning, Canadian Journal of Remote Sensing, 28: 90-95.
39. Thenkabail, P.S., E.A. Enclona, M.S. Ashton, C. Legg, and M.J. de Dieu, 2004. Hyperion, Ikonos, ALI, and ETM+ sensors in the study of African rainforests, Remote Sensing of Environment, 90:23-43.
40. Thomson, K.P.B., C. Gosselin, B.W. Adams, and I. Sutherland, 1985. Thematic Mapper data used in rangeland management in rough fescue grasslands in western Canada, Canadian Journal of Remote Sensing, 11:162-176.
41. Vina, A., A.J. Peters, and L. Ji, 2003. Use of multispectral Ikonos imagery for discriminating between conventional and conservation agricultural tillage practices, Photogrammetric Engineering & Remote Sensing, 69(5):537-544.
42. Williams, R.E., B.E. Allred, R.M. DeNio, and H.E. Paulsen, 1968. Conservation development and use of the world's rangelands, Journal of Range Management, 21:355-360.