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Lake and Reservoir Management Volume 33, 2017 - Issue 4: Lake of the Woods
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Original Articles

Land cover classification of the Lake of the Woods/Rainy River Basin by object-based image analysis of Landsat and lidar data

Leif G. OlmansonDepartment of Forest Resources, University of Minnesota, 1530 Cleveland Avenue North, St. Paul, MNCorrespondence[email protected]
&
Marvin E. BauerDepartment of Forest Resources, University of Minnesota, 1530 Cleveland Avenue North, St. Paul, MN
Pages 335-346 | Published online: 09 Nov 2017

References

  • Bauer M, Knight J, Olmanson L, Voth M, Dunsmoor J. 2013. Twin Cities metropolitan area land cover and impervious surface area classification by remote sensing: 2011 update. final report to the Metropolitan Council. St. Paul (MN).
  • Blaschke T. 2010. Object based image analysis for remote sensing. ISPRS J Photogramm. 65:2–16.
  • Congalton R, and K. Green. 2009. Assessing the accuracy of remotely sensed data: principles and practices. 2nd ed. Boca Raton (FL): CRC/Taylor & Francis.
  • DeSellas AM, Paterson AM, Clark BJ, Baratono NG, Sellers TJ. 2009. State of the Basin report: for the Lake of the Woods and Rainy River Basin. Prepared in cooperation with Lake of the Woods Water Sustainability Foundation, Ontario Ministry of the Environment, Environment Canada, and Minnesota Pollution Control Agency.
  • Evans IS. 1972. General geomorphometry, derivatives of altitude, and descriptive statistics. In: Chorley RJ. Spatial analysis in geomorphology. New York (NY): Harper & Row. pp. 17–90.
  • Foody G. 2002. Status of land cover classification accuracy assessment. Remote Sens Environ. 80:185–201.
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  • Jensen J R. 2005. Introductory digital image processing. A remote sensing perspective. 3rd ed. Upper Saddle River (NJ): Prentice-Hall.
  • Liaw A, Wiener M. 2002. Classification and regression by randomForest. R News 2/3:18–22. Available from http://CRAN.R-project.org/doc/Rnews/.
  • Platt RV, Rapoza L. 2008. An evaluation of an object-oriented paradigm for land use/land cover classification. Prof Geogr. 60:87–100.
  • Yuan F, Bauer ME, Heinert NJ, Holden GR. 2005a. Multi‐level land cover mapping of the Twin Cities (Minnesota) metropolitan area with multi‐seasonal Landsat TM/ETM+ data. Geocarto Int. 20:5–13.
  • Yuan F, Sawaya KE, Loeffelholz B, Bauer ME. 2005b. Land cover classification and change analysis of the Twin Cities (Minnesota) metropolitan area by multitemporal Landsat remote sensing. Remote Sens Environ. 98:317–328.

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