111
Views
6
CrossRef citations to date
0
Altmetric
Original Articles

Application of Spectral and Environmental Variables to Map the Kissimmee Prairie Ecosystem Using Classification Trees

, &
Pages 299-323 | Published online: 15 May 2013

References

  • Abrahamson, W. G. and D. C. Hartnett, 1990, "Pine Flatwoods and Dry Prairies," in Ecosystems of Florida , Myers, R. L., Ronald, L., and J. J. Ewel (Eds.), Orlando, FL: University of Central Florida Press, 103-149.
  • Adams, J. B., Sabol, D. E., Kapos, V., Filho, R. A., Roberts, D., Smith, M. O., and A. R. Gillespie, 1995, "Classification of Multispectral Images Based on Fractions of Endmembers: Application to Land-Cover Change in the Brazilian Amazon," Remote Sensing of the Environment , 52(1):136-154.
  • Austin, M. P., 2002, "Spatial Prediction of Species Distribution: An Interface between Ecological Theory and Statistical Modeling," Ecological Modeling , 157(2-3):101-118.
  • Breiman, L., Friedman J., Olshen, R., and C. Stone, 1984, Classification and Regression Trees , Belmont, CA: Wadsworth International Group, Wadsworth Statistics and Probability Series, 356 p.
  • Bridges, E. L., 2006, "Landscape Ecology of Florida Dry Prairie in the Kissimmee River Region," in Land of Fire and Water: The Florida Dry Prairie Ecosystem. Proceedings of the Florida Dry Prairie Conference , 5-7 October 2004, Sebring, Florida, 14-42.
  • Brogaard, S. and R. Olafsdottir, 1997, "Ground Truths or Ground Lies? Environmental Sampling for Remote Sensing Application Exemplied by Vegetation Cover," Lund Electronic Reports in Physical Geography , 1 (October), 1-15.
  • Browder, J. A. and J. C. Ogden, 1999, "The Natural South Florida System II: Predrainage Ecology," Urban Ecosystems , 3(3-4):245-277.
  • Chavez, P. S. Jr., 1996, "Image-Based Atmospheric Corrections—Revisited and Improved," Photogrammetric Engineering & Remote Sensing , 62(9):1025-1036.
  • Clark, L. A. and D. Pregibon, 1992, "Tree-Based Models," in Statistical Models , S. T. J. Hastie (Ed.), Pacific Grove, CA: Wadsworth, 377-419.
  • Cohen, W. B., Spies, T. A., 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(4):721-746.
  • Congalton, R. G., 1991, "A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data," Remote Sensing of Environment , 37(1):35-46.
  • Cummins, K. W. and C. N. Dahm, 1995, "Restoring the Kissimmee," Restoration Ecology , 3(3):147-148.
  • Czaplewski, R. L., 1992, "Misclassification bias in areal estimates," Photogrammetric Engineering and Remote Sensing , 58:189-192.
  • Dahm, C. N., Cummins, K. W., Valett, H. M., and R. L. Coleman, 1995, "An Ecosystem View of the Restoration of the Kissimmee River," Restoration Ecology , 3(3):225-238.
  • De'Ath, G. and K. E. Fabricus, 2000, "Classification and Regression Trees: A Powerful Yet Simple Technique for Ecological Data Analysis," Ecology , 81(11):3178-3192.
  • De Colstoun, E. C. B., Story, M. H., Thompson, C., Commisso, K., Smith, T. G., and J. R. Irons, 2003, "National Park vegetation mapping using multitemporal Landsat 7 data and decision tree classifier," Remote Sensing of Environment , 85(3):316-327.
  • DeFries, R. S. and J. C. W. Chan, 2000, "Multiple Criteria for Evaluating Machine Learning Algorithms for Land Cover Classification from Satellite Data," Remote Sensing of Environment , 74(3):503-515.
  • DeFries, R. S. and J. R. G. Townshend, 1994, "NDVI-derived land cover classification at global scales," International Journal of Remote Sensing , 15(17):3567-3586.
  • Dymond, C. C., Mladenoff, D. J., and V. C. Radeloff, 2002, "Phenological Differences in Tasseled Cap Indices Improve Deciduous Forest Classification," Remote Sensing of Environment , 80(3):460-472.
  • FCFWRU (Florida Cooperative Fish and Wildlife Research Unit), 2000, "Florida Gap Analysis Project," University of Florida, Gainesville http://www.wec.ufl.edu/coop/GAP/
  • Finkl, C. W., 1995, "Water Resource Management in the Florida Everglades: Are ‘Lessons from Experience’ a Prognosis in the Future?" Journal of Soil and Water Conservation , 50(6):592-600.
  • Florida Department of Environmental Protection, 2005, "Kissimmee Prairie State Preserve: Unit Management Plan," http://www.dep.state.fl.us/parks/planning/plans.htm
  • Frank, T. D., 1988, "Mapping Dominant Vegetation Communities in the Colorado Rocky Mountain Front Range with Landsat Thematic Mapper and Digital Terrain Data," Photogrammetric Engineering and Remote Sensing , 54(12):1727-1734.
  • Franklin, J., 1995, "Predictive Vegetation Mapping: Geographic Modelling of Biospatial Patterns in Relation to Environmental Gradients," Progress in Physical Geography , 19(4):474-499.
  • Franklin, J., 1998, "Predicting the Distribution of Shrub Species in Southern California from Climate and Terrain-Derived Variables," Journal of Vegetation Science , 9(5):733-748.
  • FREAC (Florida Resources and Environmental Analysis Center at the Institute of Science and Public Affairs), 1990, "Florida Natural Areas Inventory Community Guide," Florida State University. http://www.fnai.org/naturalcommguide.cfm
  • Friedl, M. A. and C. Brodley, 1997, "Decision Tree Classification of Land Cover from Remotely Sensed Data," Remote Sensing of Environment , 61(3):399-409.
  • Garrard, C., 2003, "Using ArcView in Conjunction with Statistical Software for Predictive Modeling," RS/GIS Laboratory, Utah State University, Logan, Utah. http://www.gis.usu.edu/~chrisg/avext/
  • Goetz, S. J., Wright, R. K., Smith, A. J., Zinecker, E., 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(1-2):195-208.
  • Guisan, A. and N. Zimmermann, 2000, "Predictive Habitat Distribution models in Ecology," Ecological Modeling , 135(2-3):147-186.
  • Hansen, M. C., DeFries, R. S., Townshend, J. R. G., and R. Sohlberg, 2000, "Global Land Cover Classification at 1 km Spatial Resolution Using a Classification Tree Approach," International Journal of Remote Sensing , 21(6-7):1331-1364.
  • Huang, C., Wylie, B., Yang, L., Homer, C., and G. Zylstra, 2001, "Derivation of a Tasselled Cap Transformation Based on Landsat 7 at-Satellite Reflectance," International Journal of Remote Sensing , 23(8):1741-1748.
  • Ichoku, C. and A. Karnieli, 1996, "A Review of Mixture Modeling Techniques for Sub-pixel Land Cover Estimation," Remote Sensing Reviews , 13:161-186.
  • Joy, S. M., Reich, R. M., and R. T. Reynolds, 2003, "A Non-parametric, Supervised Classification of Vegetation Types on the Kaibab National Forest using Decision Trees," International Journal of Remote Sensing , 24(9):1835-1852.
  • Kalkhan, M. A., Reich, R. M., and T. J. Stohlgren, 1998, "Assessing the Accuracy of Landsat Thematic Mapper Classification Using Double Sampling," International Journal of Remote Sensing , 19:2049-2060.
  • Kauth, R. J. and S. G. Thomas, 1976, "The Tasselled Cap—a Graphic Description of the Spectral-Temporal Development of Agricultural Crops as Seen by Landsat," In Symposium on Machine Processing of Remotely Sensed Data , West Lafayette, IN: Laboratory for Applications of Remote Sensing, 41-51.
  • Kautz, R. S., Gilbert, D. T., and G. M. Mauldin, 1993, "Vegetative cover in Florida based on 1985-1989 Landsat Thematic Mapper Imagery," Florida Scientist , 56(3):135-154.
  • Kerr, J. T. and M. Ostrovsky, 2003, "From Space to Species: Ecological Applications for Remote Sensing," Trends in Ecology and Evolution , 18(6):299-305.
  • Lawrence, R., Bunn, A., Powell, S. and M. Zambon, 2004, "Classification of Remotely Sensed Imagery Using Stochastic Gradient Boosting as a Refinement of Classification Tree Analysis," Remote Sensing of Environment , 90(3):331-336.
  • Lawrence, R. L. and A. Wright, 2001, "Rule-based Classification Systems Using Classification and Regression Tree (CART) Analysis," Photogrammetric Engineering & Remote Sensing , 67(10):1137-1142.
  • Le Hegarat-Mascle, S., Quesney, D., Vidal-Madjar, D., Taconet, O., Normand, M. and C. Loumagne, 2000, "Land Cover discrimination from Multitemporal ERS Images and Multispectral Landsat Images: A Study Case in an Agricultural Area in France," International Journal of Remote Sensing , 21(3): 435-456.
  • Lehmann, A., Overton, McC. J., and J. R. Leathwick, 2002, "GRASP: Generalized Regression Analysis and Spatial Prediction," Ecological Modelling , 160(1-2):165-183.
  • Mahesh, P. and P. Mather, 2001, "Decision Tree-Based Classification of Remotely Sensed Data," paper presented at the 22nd Asian Conference on Remote Sensing, Centre for Remote Imaging, Sensing, and Processing (CRISP), Singapore. http://www.crisp.nus.edu.sg/~acrs2001/pdf/046PAL.PDF
  • Mahesh, P. and P. Mather, 2003, "An Assessment of the Effectiveness of Decision Tree Methods for Land Cover Classification," Remote Sensing of Environment , 84(4):554-565.
  • Main, M. B. and M. J. Barry, 2002, "Influence of Season of Fire on Flowering of Wet Prairie Grasses in South Florida, USA," Wetlands , 22(2):430-434.
  • Mather, P., 2004, Computer Processing of Remotely Sensed Images , Hoboken, NJ: John Wiley and Sons, Ltd., 3rd Ed.
  • McIver, D. K. and M. A. Friedl, 2002, "Using Prior Probabilities in Decision-Tree Classification of Remote Sensing Data," Remote Sensing of Environment , 81(2-3):253-261.
  • Mertes, L. A. K., Smith, M. O., and J. B. Adams, 1993, "Estimating Suspended Sediment Concentrations in Surface Waters of the Amazon River Wetlands from Landsat Image," Remote Sensing of Environment , 43(3):281-301.
  • Muchoney, D. M., Borak, J., Chi, H., Friedl, M., Gopal, S., Hodges, J., Morrow, N., and A. H. Strahler, 2000, "Application of the MODIS Global Supervised Classification Model to Vegetation and Land Cover Mapping of Central America," Journal of Remote Sensing , 21(6-7):1115-1138.
  • Muchoney, D. M. and A. H. Strahler, 2002, "Pixel- and Site-Based Calibration and Validation Methods for Evaluating Supervised Classification of Remote Sensing," Remote Sensing of Environment , 81(2):290-299.
  • Myers, R. L., 1985, "Fire and the Dynamic Relationship between Florida Sandhill and Sand Pine Scrub Vegetation," Bulletin of the Torrey Botanical Club , 12(3):241-252.
  • Patterson, M. W. and S. R. Yool, 1998, "Mapping Fire-Induced Vegetation Mortality Using Landsat Thematic Mapper Data: A Comparison of Linear Transformation Techniques," Remote Sensing of Environment , 65: 132-142.
  • Pontius, R. G., Jr., 2000, "Quantification Error versus Location Error in Comparison of Categorical Maps," Photogrammetric Engineering and Remote Sensing , 66(8):1011-1016.
  • Raclot, D. Colin, F., and C. Puech, 2005, "Updating Land Cover Classification Using a Rule-Based Decision System," International Journal of Remote Sensing , 26(7):1309-1321.
  • Richards, J. A., Landgrebe, D. A., and P. H. Swain, 1982, "A Means for Utilizing Ancillary Information in Multispectral Classification (of remotely sensed data)," Remote Sensing of Environment , 12:463-477.
  • Roberts, D. A., Gardner, M., Church, R., Ustin, S., Scheer, G., and R. O. Green, 1998, "Mapping Chaparral in the Santa Monica Mountains Using Multiple Endmember Spectral Mixture Models," Remote Sensing of Environment , 65(3):267-279.
  • Rogan, J. and D. Chen, 2004, "Remote Sensing Technology for Mapping and Monitoring Land-Cover and Land-Use Change," Progress in Planning , 61(4): 301-325.
  • Rogan, J., Franklin, J., Stow, D., Miller, J., Roberts, D. A., and C. Woodcock, 2008, "Mapping Land Cover Modifications over Large Areas: A Comparison of Machine Learning Techniques," Remote Sensing of Environment , 112:2272-2283.
  • Rogan, J. and J. Miller, 2006, "Integrating GIS and Remotely Sensed Data for Mapping Forest Disturbance and Change," in Understanding Forest Disturbance and Spatial Pattern , Wulder, M. A. and S. E. Franklin (Eds.), Boca Raton, FL: CRC Press, 133-170.
  • Rogan, J., Miller, J., Stow, D., Franklin, J., Levien, L., and C. Fisher, 2003, "Land-Cover Change Monitoring with Classification Trees Using Landsat TM and Ancillary Data," Photogrammetric Engineering and Remote Sensing , 69(7):793-804.
  • Rogan, J. and S. R. Yool, 2001, "Mapping Fire-Induced Vegetation Depletion in the Peloncillo Mountains, Arizona and New Mexico," International Journal of Remote Sensing , 22(16):3101-3121.
  • Schriever, J. R. and R. G. Congalton, 1995, "Evaluating Seasonal Variability as an Aid to Cover-Type Mapping from Landsat Thematic Mapper Data in the Northeast," Photogrammetric Engineering and Remote Sensing , 61(3):321-327.
  • Segurado, P. and M. B. Araujo, 2004, "An Evaluation of Methods for Modeling Species Distribution," Journal of Biogeography , 31(10):1555-1568.
  • Slocum, M. G., Platt, W. J., and H. C. Cooley, 2003, "Effects of Differences in Prescribed Fire Regimes on Patchiness and Intensity of Fires in Subtropical Savannas of Everglades National Park, Florida," Restoration Ecology , 11(1):91-102.
  • South Florida Ecosystem Restoration Task Force, 2003, "Coordinating Success: Strategy for the restoration of the South Florida ecosystem," in 2003 Integrated Financial Report , Miami, FL: South Florida Ecosystem Restoration Task Force, 2:22-23.
  • Strahler, A. H., 1980, "The Use of Prior Probabilities in Maximum Likelihood Classification of Remotely Sensed Data," Remote Sensing of Environment . 10:135-163.
  • Strahler, A. H., Woodcock, C. E., and J. A. Smith, 1986, "On the Nature of Models in Remote Sensing," Remote Sensing of the Environment , 20:121-139.
  • Sullivan, J., 1994, "Palmetto Prairie," in Fire Effects Information System , Missoula, MT: U.S. Forest Service, Rocky Mountain Research Station, Fire Sciences Laboratory. http://www.fs.fed.us/database/feis
  • Treitz, P. and P. Howarth, 2000, "Integrating Spectral, Spatial, and Terrain Variables for Forest Ecosystem Classification," Photogrammetric Engineering & Remote Sensing , 66(3):305-317.
  • Treitz, P. and J. Rogan, 2004, "Remote-Sensing for Mapping and Monitoring Land-Cover and Land-Use Change—an Introduction," Progress in Planning , 61(4):269-279.
  • U.S. Environmental Protection Agency, 2002, "Florida Restores Wetlands in Kissimmee Prairie Preserve State Park," Biweekly Restoration Update , 6.
  • USFWS (United States Fish and Wildlife Service), 2003, "Multiple Species Recovery Plan for South Florida: Dry Prairie," Vero Beach, FL: South Florida Ecological Services Office. http://www.fws.gov/southeast/vbpdfs/commun/dp.pdf
  • Versluis, A. and J. Rogan, 2009, "Mapping Land-Cover Change in a Haitian Watershed Using a Combined Spectral Mixture Analysis and Classification Tree Procedure," Geocarto International , 25(2):1-19.
  • Vogelmann, J. E., Sohl, T. L., Campbell, P. E., and D. M. Shaw, 1998, "Regional Land Cover Characterization Using Landsat Thematic Mapper Data and Ancillary Data Sources," Environmental Monitoring and Assessment , 51(1-2):415-428.
  • Wolter, P. T., Mladenoff, D. J., Host, G. E., and T. R. Crow, 1995, "Improved Forest Classification in the Northern Lake States Using Multi-temporal Landsat Imagery," Photogrammetric Engineering & Remote Sensing , 61(9):1129-1143.
  • Woodcock, C. E., Macomber, S., Ryherd, S., Wu, Y., Harward, V. J., Levitan, J., and R. Warbington, 1994, "Mapping Forest Vegetation Using Landsat TM Imagery and a Canopy Reflectance Model," Remote Sensing of Environment , 50(3):240-254.
  • Wulder, M., 1998, "Optical Remote-Sensing Techniques for the Assessment of Forest Inventory and Biophysical Parameters," Progress in Physical Geography , 22(4):449-476.
  • Wulder, M., Loubier, E., and D. Richardson, 2002, "Landsat-7 ETM+ Orthoimage Coverage of Canada," Canadian Journal of Remote Sensing , 28(5):667-671.
  • Zambon, M., Lawrence, R., Bunn, A., and S. Powell, 2006, "Effect of Alternative Splitting Rules on Image Processing Using Classification Tree Analysis," Photogrammetric Engineering & Remote Sensing , 72(1):25-30.
  • Zaniewski, A. E., Lehmann, A., and J. McC. Overton, 2002, "Predicting Species Distribution Using Presence-Only Data: A Case Study of Native New Zealand ferns," Ecological Modelling , 157(2-3):259-278.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.