Requirements for labelling forest polygons in an object-based image analysis classification

References

• Akaike , H. 1974 . A New Look at the Statistical Model Identification.” . IEEE Transactions on Automatic Control , 19 : 716 – 22 .
   Web of Science ®Google Scholar
• Anderson, J. R., E. E. Hardy, J. T. Roach, and R. E. Witmer. 1976. A Land Use and Land Cover Classification System for Use with Remote Sensor Data. Geological Survey Professional Paper 964, 41 pp. Washington, DC: United States Government Printing Office. Accessed June 26, 2012. http://landcover.usgs.gov/pdf/anderson.pdf (http://landcover.usgs.gov/pdf/anderson.pdf)
   Google Scholar
• Binkley , D. and Brown , T. C. 1993 . Forest Practices as Nonpoint Sources of Pollution in North America.” . Water Resources Bulletin , 29 : 729 – 40 .
   Google Scholar
• Bitterlich , W. 1947 . Die Winkelzahlmessung (Measurement of Basal Area per Hectare By Means Of Angle Measurement).” . Allgemeine Forst- und Holzwirtschaftliche Zeitung , 58 : 94 – 6 .
   Google Scholar
• Blaschke , T. 2010 . Object Based Image Analysis for Remote Sensing.” . ISPRS Journal of Photogrammetry and Remote Sensing , 65 : 2 – 16 .
   Web of Science ®Google Scholar
• Blaschke , T. and Strobl , J. 2001 . What's Wrong with Pixels? Some Recent Developments Interfacing Remote Sensing and GIS , Vol. 6, 12–17 , Heidelburg : Huthig GmbH & Co .
   Google Scholar
• Burnham , K. P. and Anderson , D. R. 2002 . Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach, Second Edition , 488 New York : Springer .
   Google Scholar
• Chavez , P. S. 1996 . Image-Based Atmospheric Corrections – Revisited and Improved.” . Photogrammetric Engineering & Remote Sensing , 62 : 1025 – 36 .
   Web of Science ®Google Scholar
• Congalton , R. G. 1988 . A Comparison of Sampling Schemes Used in Generating Error Matrices for Assessing the Accuracy of Maps Generated From Remotely Sensed Data.” . Photogrammetric Engineering & Remote Sensing , 54 : 593 – 600 .
   Web of Science ®Google Scholar
• Congalton , R. G. 1991 . A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data.” . Remote Sensing of Environment , 37 : 35 – 46 .
   Web of Science ®Google Scholar
• Congalton , R. G. and Biging , G. S. 1992 . A Pilot Study Evaluating Ground Reference Data Collection Efforts for Use in Forest Inventory.” . Engineering & Remote Sensing , 58 : 1669 – 71 .
   Web of Science ®Google Scholar
• Congalton , R. G. and Green , K. 2009 . Assessing the Accuracy of Remotely Sensed Data: Principles and Practices, Second Edition , 183 Boca Raton , FL : CRC Press .
   Google Scholar
• Congalton , R. G. , Green , K. and Teply , J. 1993 . Mapping Old Growth Forests on National Forest and Park Lands in the Pacific Northwest From Remotely Sensed Data.” . Photogrammetric Engineering & Remote Sensing , 59 : 529 – 35 .
   Web of Science ®Google Scholar
• Congalton , R. G. , Oderwald , R. G. and Mead , R. A. 1983 . Assessing Landsat Classification Accuracy Using Discrete Multivariate Statistical Techniques.” . Photogrammetric Engineering & Remote Sensing , 49 : 1671 – 8 .
   Web of Science ®Google Scholar
• Desclée , B. , Bogeart , P. and Defourny , P. 2006 . Forest Change Detection by Statistical Object-Based Method.” . Remote Sensing of Environment , 102 : 1 – 11 .
   Web of Science ®Google Scholar
• Drăguţ , L. and Blaschke , T. 2006 . Automated Classification of Landform Elements Using Object-Based Image Analysis.” . Geomorphology , 81 : 330 – 44 .
   Web of Science ®Google Scholar
• Ducey, M. J. 2001. “Pre-Cruise Planning. pp. 26–35 in K. Bennett, Technical Coordinator. 2001.” In Forest Measurement for Natural Resource Professionals, Workshop Proceedings, University of New Hampshire Cooperative Extension Natural Resource Network Report, 71 pp. Accessed February 21, 2012. http://extension.unh.edu/resources/files/Resource000398_Rep420.pdf (http://extension.unh.edu/resources/files/Resource000398_Rep420.pdf)
   Google Scholar
• Duveiller , G. , Defourny , P. , Desclée , B. and Mayaux , P. 2008 . Deforestation in Central Africa: Estimates at Regional, National and Landscape Levels by Advanced Processing of Systematically-Distributed Landsat Extracts.” . Remote Sensing of Environment , 112 : 1969 – 81 .
   Web of Science ®Google Scholar
• Efron , B. and Tibshirani , R. 1993 . An Introduction to the Bootstrap , Vol. 456 , Boca Raton , FL : CRC Press .
   Google Scholar
• Fitzpatrick-Linz , K. 1981 . Comparison on Sampling Procedures and Data Analysis for a Land-Use and Land-Cover Map.” . Photogrammetric Engineering & Remote Sensing , 47 : 343 – 51 .
   Web of Science ®Google Scholar
• Foody , G. M. 2002 . Status of Land Cover Classification Accuracy Assessment.” . Remote Sensing of Environment , 80 : 185 – 201 .
   Web of Science ®Google Scholar
• Gopal , S. and Woodcock , C. 1994 . Theory and Methods for Accuracy Assessment of Thematic Maps Using Fuzzy Sets.” . Photogrammetric Engineering & Remote Sensing , 60 : 181 – 8 .
   Web of Science ®Google Scholar
• Held , M. E. and Wistendahl , W. A. 1978 . The Use of the Bitterlich Sampling Technique in an Athens County, Ohio Forest.” . Ohio Journal of Science , 78 : 26 – 8 .
   Web of Science ®Google Scholar
• Husch , B. , Beers , T. W. and Kershaw , J. A. Jr. 2003 . Forest Mensuration, Fourth Edition , 443 Hoboken , NJ : Wiley .
   Google Scholar
• Johnson , V. S. , Litvaitis , J. A. , Lee , T. D. and Frey , S. D. 2006 . The Role of Spatial and Temporal Scale in Colonization and Spread of Invasive Shrubs in Early Successional Habitats.” . Forest Ecology and Management , 228 : 124 – 34 .
   Web of Science ®Google Scholar
• Justice, D., A. Deely, and F. Rubin. 2002. Final report: New Hampshire land cover assessment. Accessed October 5, 2010 www.granit.unh.edu (http://www.granit.unh.edu)
   Google Scholar
• Kauth , R. J. and Thomas , G. S. 1976 . “ The Tasselled Cap – a Graphic Description of the Spectral-Temporal Development of Agricultural Crop as Seen by LANDSAT ” . In Proceedings of LARS Symposium on Machine Processing of Remotely Sensed Data, West Lafayette, IN, June 29–July 1
   Google Scholar
• Mitchell , W. A. , Hughes , H. G. and Marcy , L. E. 1995 . Prism sampling: Section 6.2.3, U.S. Army Corps of Engineers Wildlife Resources Management Manual. Technical Report EL-95-24 , Vicksburg , MS : US Army Engineer Waterways Experiment Station .
   Google Scholar
• Radoux , J. , Bogaert , R. , Fasbender , D. and Defourny , P. 2011 . Thematic Accuracy Assessment of Geographic Object-Based Image Classification.” . International Journal of Geographical Information Science , 25 : 895 – 911 .
   Web of Science ®Google Scholar
• Riitters , K. H. , Wickham , J. D. , ’Neill , R. V. O , Jones , K. B. , Smith , E. R. , Coulston , J. W. , Wade , T. G. and Smith , J. H. 2002 . Fragmentation of Continental United States Forests.” . Ecosystems , 5 : 815 – 22 .
   Web of Science ®Google Scholar
• Robertson , L. D. and King , D. J. 2011 . Comparison of Pixel- and Object-Based Classification in Land Cover Change Mapping.” . International Journal of Remote Sensing , 32 : 1505 – 29 .
   Web of Science ®Google Scholar
• Rouse , J. W. , Haas , R. H. , Schell , J. A. and Deering , D. W. 1974 . “ Monitoring vegetation systems in the Great Plains with ERTS ” . In Proceedings of the Third ERTS-1 Symposium, NASA SP-351, December 10–14 , 309 – 17 . Washington , DC : NASA .
   Google Scholar
• Squires , E. R and Wistendahl , W. A. 1976 . Sample Unit Selection for Studies of Herbaceous Oldfield Vegetation.” . Ohio Journal of Science , 76 : 185 – 8 .
   Google Scholar
• Stehman , S. V. 1995 . Thematic Map Accuracy Assessment From the Perspective of Finite Population Sampling.” . International Journal of Remote Sensing , 16 : 589 – 93 .
   Web of Science ®Google Scholar
• Stehman , S. V. and Czaplewski , R. L. 1998 . Design and Analysis for Thematic Map Accuracy Assessment: Fundamental Principles.” . Remote Sensing of Environment , 64 : 331 – 44 .
   Web of Science ®Google Scholar
• Thompson , S. K. 2002 . Sampling, Second Edition , 400 Hoboken , NJ : Wiley .
   Google Scholar
• Vitousek , P. M. 1994 . Beyond Global Warming: Ecology and Global Change.” . Ecology , 75 : 1861 – 76 .
   Web of Science ®Google Scholar
• Warner , T. A. , Lee , J. Y. and McGraw , J. B. 1998 . “ Delineation and identification of individual trees in the Eastern Deciduous Forest ” . In Proceedings of the International Forum on Automated Interpretation of High Spatial Resolution Imagery for Forestry, Victoria, BC, February 10–12
   Google Scholar
• Wiant , H. V. J. R. , Yandle , D. O. and Andreas , R. 1984 . Is BAF 10 a Good Choice for Point Sampling?” . Northern Journal of Applied Forestry , 2 : 23 – 5 .
   Google Scholar
• With , K. A. 2002 . The Landscape Ecology of Invasive Spread.” . Conservation Biology , 16 : 1192 – 203 .
   Web of Science ®Google Scholar
• Wolter , P. T. , Mladenoff , D. J. , Host , G. E. and Crow , T. R. 1995 . Improved Forest Classification in the Northern Lake States Using Multi-Temporal Landsat Imagery.” . Photogrammetric Engineering & Remote Sensing , 61 : 1129 – 43 .
   Web of Science ®Google Scholar
• Xiuwan , C . 2002 . Using Remote Sensing and GIS to Analyse Land Cover Change and Its Impacts on Regional Sustainable Development.” . International Journal of Remote Sensing , 23 : 107 – 24 .
   Web of Science ®Google Scholar