Preface: Spatial accuracy in remote sensing

References

• Atkinson , P. M. 2009 . Issues of uncertainty in super-resolution mapping and their implications for the design of an inter-comparison study . International Journal of Remote Sensing , 30 : 5293 – 5308 .
   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
• Czaplewski , R. L. and Patterson , P. L. 2003 . Classification accuracy for stratification with remotely sensed data . Forest Science , 49 : 402 – 408 .
   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
• Foody , G. M. 2008 . Harshness in image classification accuracy assessment . International Journal of Remote Sensing , 29 : 3137 – 3158 .
   Web of Science ®Google Scholar
• Foody , G. M. 2009 . Sample size determination for image classification accuracy assessment and comparison . International Journal of Remote Sensing , 30 : 5273 – 5291 .
   Web of Science ®Google Scholar
• Ge , Y. , Bai , H. , Cao , F. , Li , S. , Feng , X. and Li , D. 2009 . Rough set-derived measures in image classification accuracy assessment . International Journal of Remote Sensing , 30 : 5323 – 5344 .
   Web of Science ®Google Scholar
• Gonçalves , L. M.S. , Fonte , C. C. , Julio , E. N.B.S. and Caetano , M. 2009 . A method to incorporate uncertainty in the classification of remote sensing images . International Journal of Remote Sensing , 30 : 5489 – 5503 .
   Web of Science ®Google Scholar
• Gomez , D. , Biging , G. and Montero , J. 2008 . Accuracy statistics for judging soft classification . International Journal of Remote Sensing , 29 : 693 – 709 .
   Web of Science ®Google Scholar
• Goodchild , M. F. . Spatial Uncertainty . Proceedings of the Eighth International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences . Spatial accuracy 2.0 , Edited by: Zhang , J. and Goodchild , M. F. Vol. 1 , pp. 1 – 7 . Liverpool : World Academic Union .
   Google Scholar
• Goodchild , M. F. and Gopal , S. , eds. 1989 . Accuracy of Spatial Databases , London : Taylor and Francis .
   Google Scholar
• Homer , C. , Dewitz , J. , Fry , J. , Coan , M. , Hossain , N. , Larson , C. , Herold , N. , Mckerrow , A. , Vandriel , J. N. and Wickham , J. 2007 . Completion of the 2001 National Land Cover Database for the Conterminous United States . Photogrammetric Engineering and Remote Sensing , 73 : 337 – 341 .
   Web of Science ®Google Scholar
• Huang , H. , Chen , M. , Liu , Q. , Liu , Q. , Zhang , Y. , Zhao , L. Q. and Qin , W. 2009 . A realistic structure model for large-scale surface leaving radiance simulation of forest canopy and accuracy assessment . International Journal of Remote Sensing , 30 : 5421 – 5439 .
   Web of Science ®Google Scholar
• Heuvelink , G. B.M. 1998 . Error Propagation in Environmental Modelling with GIS , London : Taylor and Francis .
   Google Scholar
• Justice , C. , Belward , A. , Morisette , J. , Lewis , P. , Privette , J. and Baret , F. 2000 . Developments in the ‘validation’ of satellite sensor products for the study of the land surface . International Journal of Remote Sensing , 21 : 3383 – 3390 .
   Web of Science ®Google Scholar
• Kyriakidis , P. and Dungan , J. 2002 . A geostatistical approach for mapping thematic classification accuracy and evaluating the impact of inaccurate spatial data on ecological predictions . Environmental and Ecological Statistics , 8 : 311 – 330 .
   Web of Science ®Google Scholar
• Liu , C. , Frazier , P. and Kumar , L. 2007 . Comparative assessment of the measures of thematic classification accuracy . Remote Sensing of Environment , 107 : 606 – 616 .
   Web of Science ®Google Scholar
• Liu , D. and Chun , Y. 2009 . The effects of different classification models on error propagation in land cover change detection . International Journal of Remote Sensing , 30 : 5345 – 5364 .
   Web of Science ®Google Scholar
• Lu , D. and Weng , Q. 2007 . A survey of image classification methods and techniques for improving classification performance . International Journal of Remote Sensing , 28 : 823 – 870 .
   Web of Science ®Google Scholar
• Lunetta , R. S. and Lyon , J. G. , eds. 2004 . Remote Sensing and GIS Accuracy Assessment , Boca Raton, FL : CRC Press .
   Google Scholar
• Pontius , R. G. and Connors , J. . Expanding the conceptual, mathematical and practical methods for map comparison . Proceedings of the 7th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences . Edited by: Catano , M. and Painho , M. pp. 64 – 79 . Lisbon : Instituto Geografico Portugues .
   Google Scholar
• Sarmento , P. , CarrÃo , H. , Caetano , M. and Stehman , S. V. 2009 . Incorporating reference classification uncertainty into the analysis of land cover accuracy . International Journal of Remote Sensing , 30 : 5309 – 5321 .
   Web of Science ®Google Scholar
• Steele , B. M. 2005 . Maximum posterior probability estimators of map accuracy . Remote Sensing of Environment , 99 : 254 – 270 .
   Web of Science ®Google Scholar
• Stehman , S. V. 2009 . Sampling design for accuracy assessment of land cover . International Journal of Remote Sensing , 30 : 5243 – 5272 .
   Web of Science ®Google Scholar
• Stehman , S. V. , Wickham , J. D. , Yang , L. and Smith , J. H. . Assessing the accuracy of large-area land cover maps: experiences from the multiple-resolution land-cover characteristics (MRLC) project . Proceedings of the 4th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences . Edited by: Heuvelink , G. B. M. and Lemmens , M. J. P. M. pp. 601 – 608 . Delft : Delft University Press .
   Google Scholar
• Stein , A. , Hamm , N. A.S. and Ye , Q. 2009 . Handling uncertainties in image mining for remote sensing studies . International Journal of Remote Sensing , 30 : 5365 – 5382 .
   Web of Science ®Google Scholar
• Tao , X. , Yan , B. , Wang , K. , Wu , D. , Fan , W. , Xu , X. and Liang , S. 2009 . Scale transformation of Leaf Area Index product retrieved from multiresolution remotely sensed data: analysis and case studies . International Journal of Remote Sensing , 30 : 5383 – 5395 .
   Web of Science ®Google Scholar
• Tong , X. , Shi , W. and Deng , S. 2009 . A probability-based multi-measure feature matching method in map conflation . International Journal of Remote Sensing , 30 : 5453 – 5472 .
   Web of Science ®Google Scholar
• van Oort , P. A.J. 2007 . Interpreting the change detection error matrix . Remote Sensing of Environment , 108 : 1 – 7 .
   Web of Science ®Google Scholar
• Wang , H. , Zhang , W. , Zhou , G. , Yan , G. and Clinton , N. 2009 . Image-based 3D corn reconstruction for retrieval of geometrical structural parameters . International Journal of Remote Sensing , 30 : 5505 – 5513 .
   Web of Science ®Google Scholar
• Wen , J. , Liu , Q. , Liu , Q. , Xiao , Q. and Li , X. 2009 . Scale effect and scale correction of land-surface albedo in rugged terrain . International Journal of Remote Sensing , 30 : 5397 – 5420 .
   Web of Science ®Google Scholar
• Wu , Z. , Yi , L. and Zhang , G. 2009 . Uncertainty analysis of object location in multi-source remote sensing imagery classification . International Journal of Remote Sensing , 30 : 5473 – 5487 .
   Web of Science ®Google Scholar
• Zhang , J. , Kyriakidis , P. and Kelly , R. 2009 . Geostatistical approaches to conflation of continental snow data . International Journal of Remote Sensing , 30 : 5441 – 5451 .
   Web of Science ®Google Scholar