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Original Articles

Does spatial resolution matter? A multi-scale comparison of object-based and pixel-based methods for detecting change associated with gas well drilling operations

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Pages 1633-1651 | Received 25 May 2012, Accepted 30 Jul 2012, Published online: 31 Oct 2012

References

  • Baatz , M. and Schäpe , A. 2000 . “ Multiresolution Segmentation – An Optimization Approach for High Quality Multi-Scale Image Segmentation ” . In Angewandte Geographische Informationsverarbeitung XII , Edited by: Strobl , J. , Blaschke , T. and Griesebener , G. 12 – 23 . Berlin : Herbert Wichmann Verlag .
  • Blaschke , T. 2010 . Object Based Image Analysis for Remote Sensing . ISPRS Journal of Photogrammetry and Remote Sensing , 65 : 2 – 16 .
  • Blaschke , T. , Lang , S. , Lorup , E. , Strobl , J. and Zeil , P. 2000 . “ Object-Oriented Image Processing in an Integrated GIS/Remote Sensing Environment and Perspectives for Environmental Applications ” . In Environmental Information for Planning, Politics, and the Public , Edited by: Cremers , A. and Greve , K. Vol. 2 , 555 – 70 . Marburg : Metropolis Verlag .
  • Chen , G. , Hay , G. J. , Carvalho , L. M. T. and Wulder , M. A. 2012 . Object-Based Change Detection . International Journal of Remote Sensing , 33 : 4434 – 57 .
  • Cohen , J. 1960 . A Coefficient of Agreement for Nominal Scales . Educational and Psychological Measurement , 20 : 37 – 46 .
  • Congalton , R. G. and Green , K. , eds. 2009 . Assessing the Accuracy of Remotely Sensed Data: Principles and Practices , 2nd , 182 Boca Raton , FL : CRC Press .
  • Crimmins , S. , Mynsberge , A. and Warner , T. A. 2009 . Estimating Woody Browse Abundance from Aerial Imagery . International Journal of Remote Sensing , 30 : 3283 – 9 . doi: 10.1080/01431160902777167
  • Dai , X. and Khorram , S. 1998 . The Effect of Image Misregistration on the Accuracy of Remotely Sensed Change Detection . IEEE Transactions on Geoscience and Remote Sensing , 36 : 1566 – 77 .
  • Dorren , L. K. A. , Maier , B. and Seijmonsbergen , A. C. 2003 . Improved Landsat-Based Forest Mapping in Steep Mountainous Terrain Using Object-Based Classification . Forest Ecology and Management , 183 : 31 – 46 .
  • Drăguţ , L. and Eisank , C. 2011 . Object Representations at Multiple Scales from Digital Elevation Models . Geomorphology , 129 : 183 – 9 .
  • ERDAS . 2011 . Erdas Imagine 2011 User Manual , Norcross , GA : ERDAS Inc .
  • Fenneman , N. M. 1917 . Physiographic Subdivisions of the United States . Proceedings of the National Academy of Sciences of the United States of America , 3 : 17 – 22 .
  • Fitzpatrick-Lins , K. 1981 . Comparison of Sampling Procedures and Data Analysis for a Land-Use and Land-Cover Map . Photogrammetric Engineering & Remote Sensing , 47 : 343 – 51 .
  • Franklin , S. E. , Lavigne , M. B. , Wulder , M. A. and Stenhouse , G. B. 2002 . Change Detection and Landscape Structure Mapping Using Remote Sensing . The Forestry Chronicle , 78 : 618 – 25 .
  • Gamanya , R. , De Maeyer , P. and De Dapper , M. 2009 . Object-Oriented Change Detection for the City of Harare, Zimbabwe . Expert Systems with Applications , 36 : 571 – 88 .
  • Giner , N. and Rogan , J. 2012 . A Comparison of Landsat ETM+ and High-Resolution Aerial Orthophotos to Map Urban/Suburban Forest Cover in Massachusetts, USA . Remote Sensing Letters , 3 : 667 – 76 .
  • Hay , G. J. and Castilla , G. 2008 . “ Geographic Object-Based Image Analysis (GEOBIA): A New Name for a New Discipline ” . In Object-Based Image Analysis , Edited by: Blaschke , T. , Lang , S. and Hay , G. J. Vol. In , Berlin : Springer .
  • Jensen , J. R. 2005 . Introductory Digital Image Processing: A Remote Sensing Perspective , 3rd , 526 Upper Saddle River , NJ : Prentice-Hall .
  • Jensen , J. R. , Im , J. , Hardin , P. and Jensen , R. R. 2009 . “ Image Classification ” . In SAGE Handbook of Remote Sensing , Edited by: Warner , T. A. , Nellis , M. D. and Foody , G. M. 267 – 81 . London : Sage .
  • Johansen , K. , Arroyo , L. A. , Phinn , S. and Witte , C. 2010 . Comparison of Geo-Object Based and Pixel-Based Change Detection of Riparian Environments Using High Spatial Resolution Multispectral Imagery . Photogrammetric Engineering & Remote Sensing , 76 : 123 – 36 .
  • Kim , M. , Madden , M. and Warner , T. A. 2009 . Forest Type Mapping Using Object-Specific Texture Measures from Multispectral IKONOS Imagery: Segmentation Quality and Image Classification Issues . Photogrammetric Engineering and Remote Sensing , 75 : 819 – 29 .
  • Kim , M. , Warner , T. A. , Madden , M. and Atkinson , D. 2011 . Multi-Scale Texture Segmentation and Classification of Salt Marsh Using Digital Aerial Imagery with Very High Spatial Resolution . International Journal of Remote Sensing , 32 : 2825 – 50 . doi: 10.1080/01431161003745608
  • Liu , D. and Xia , F. 2010 . Assessing Object-Based Classification: Advantages and Limitations . Remote Sensing Letters , 1 : 187 – 94 . doi: 10.1080/01431161003743173
  • Malinverni , E. S. , Tassetti , A. N. , Mancini , A. , Zingaretti , P. , Frontoni , E. and Bernardini , A. 2011 . Hybrid Object-Based Approach for Land Use/Land Cover Mapping Using High Spatial Resolution Imagery . International Journal of Geographic Information Science , 25 : 1025 – 43 .
  • Matinfar , H. R. , Sarmadian , F. , Alavi Panah , S. K. and Heck , R. J. 2007 . Comparisons of Object-Oriented and Pixel-Based Classification of Land Use/Land Cover Types Based on Landsat ETM+ Spectral Bands (Case Study: Arid Region of Iran) . American-Eurasian Journal of Agriculture and Environmental Science , 2 : 448 – 56 .
  • Myint , S. W. , Gober , P. , Brazel , A. , Grossman-Clarke , S. and Weng , Q. 2011 . Per-Pixel vs. Object-Based Classification of Urban Land Cover Extraction Using High Spatial Resolution Imagery . Remote Sensing of Environment , 115 : 1145 – 61 .
  • Newman , M. E. , Mclaren , K. P. and Wilson , B. S. 2011 . Comparing the Effects of Classification Techniques on Landscape-Level Assessments: Pixel-Based Versus Object-Based Classification . International Journal of Remote Sensing , 32 : 4055 – 73 .
  • Platt , R. V. and Goetz , A. F. H. 2004 . A Comparison of AVIRIS and Synthetic Landsat Data for Land Use Classification at the Urban Fringe . Photogrammetric Engineering & Remote Sensing , 70 : 813 – 19 .
  • Platt , R. V. and Rapoza , L. 2008 . An Evaluation of an Object-Oriented Paradigm for Land Use/Land Cover Classification . The Professional Geographer , 60 : 87 – 100 .
  • Pontius , R. G. Jr and Millones , M. 2011 . Death to Kappa: Birth of Quantity Disagreement and Allocation Disagreement for Accuracy Assessment . International Journal of Remote Sensing , 32 : 4407 – 29 .
  • Pringle , R. M. , Syfert , M. , Webb , J. K. and Shine , R. 2009 . Quantifying Historical Changes in Habitat Availability for Endangered Species: Use of Pixel- and Object-Based Remote Sensing . Journal of Applied Ecology , 46 : 544 – 53 .
  • Rakshit , R. 2012 . A Survey of Accuracy Measures in Object-Based Image Analysis Maps , Clark University . PhD thesis
  • 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 .
  • Singh , A. 1989 . Digital Change Detection Techniques Using Remotely-Sensed Data . International Journal of Remote Sensing , 10 : 989 – 1003 .
  • Stehman , S. V. and Foody , G. M. 2009 . “ Accuracy Assessment ” . In The SAGE Handbook of Remote Sensing , Edited by: Warner , T. A. , Nellis , M. D. and Foody , G. M. 297 – 309 . Thousand Oaks , CA : Sage Publications .
  • Swain , P. H. and Davis , S. M. 1978 . Remote Sensing: The Quantitative Approach , New York : McGraw-Hill .
  • Townsend , F. 1986 . The Enhancement of Computer Classifications by Logical Smoothing . Photogrammetric Engineering & Remote Sensing , 52 : 213 – 21 .
  • Townsend , P. A. , Helmers , D. P. , Kingdon , C. C. , Mcneil , B. E. , De Beurs , K. M. and Eshleman , K. N. 2009 . Changes in the Extent of Surface Mining and Reclamation in the Central Appalachians Detected Using a 1976–2006 Landsat Time Series . Remote Sensing of Environment , 113 : 62 – 72 .
  • Trimble . 2011 . ECognition Developer 8.64.1 User Guide , Munich : Trimble Germany .
  • Tucker , C. J. 1979 . Red and Photographic Infrared Linear Combinations for Monitoring Vegetation . Remote Sensing of Environment , 8 : 127 – 50 .
  • United States Census Bureau. 2000. Census 2000 Decennial Census Data http://factfinder.census.gov/home/saff/main.html?_lang=en (http://factfinder.census.gov/home/saff/main.html?_lang=en) (Accessed: 12 May 2011 ).
  • Van Oort , P. A. J. 2007 . Interpreting the Change Detection Error Matrix . Remote Sensing of Environment , 108 : 1 – 8 . doi: 10.1016/j.rse.2006.10.012
  • Warner , T. A. 2010 . “ Remote Sensing Analysis: From Project Design to Implementation ” . In Chap. 17Manual of Geospatial Sciences , 2nd , Edited by: Bossler , J. D. , McMaster , R. B. , Rizos , C. and Campbell , J. B. 301 – 18 . London : Taylor and Francis .
  • Warner , T. A. , Almutairi , A. and Lee , J. Y. 2009a . “ Remote Sensing of Land Cover Change ” . In The SAGE Handbook of Remote Sensing , Edited by: Warner , T. A. , Nellis , M. D. and Foody , G. M. 459 – 72 . Thousand Oaks , CA : Sage Publications .
  • Warner , T. , Nellis , M. D. and Foody , G. M. 2009b . “ Remote Sensing Data Selection Issues ” . In The SAGE Handbook of Remote Sensing , Edited by: Warner , T. A. , Nellis , M. D. and Foody , G. M. 4 – 17 . Thousand Oaks , CA : Sage Publications .
  • Yang , W. and Merchant , J. W. 1997 . Impacts of Upscaling Techniques on Land Cover Representation in Nebraska, U.S.A . Geocarto International , 12 : 27 – 39 .

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