Change Estimates by Map Comparison: A Method to Reduce Erroneous Changes Due to Positional Error

A common method to assess land use/cover change (LUCC) is the comparison of digital maps of an area within a geographic information system (GIS). However, positional errors of the maps involved in the comparison affect this assessment and much of the change shown by means of this comparison may be an artifact due to these errors. This note presents a simple method to improve change estimates by detecting and correcting erroneous changes resulting from positional errors. It allows an important reduction of error in change area estimates and is likely to be useful in LUCC assessment studies.

[1]  Cidália Maria Parreira da Costa Fonte.  Entidades geográficas difusas. Metódos de construção e processamento , 2004 .

[2]  D. Green,et al.  Integrating Photointerpretation and GIS for Vegetation Mapping and Monitoring: Some Issues of Error , 1999 .

[3]  D. Dean,et al.  Combining location and classification error sources for estimating multi-temporal database accuracy , 2001 .

[4]  Mapping,et al.  Fundamentals of geographic information systems : a compendium , 1989 .

[5]  Gilberto Câmara,et al.  Spring: integrating remote sensing and gis by object-oriented data modelling , 1996, Comput. Graph..

[6]  J. Palmer,et al.  FOREST RESOURCES ASSESSMENT 1990: SURVEY OF TROPICAL FOREST COVER AND STUDY OF CHANGE PROCESSES , 1998 .

[7]  R. Pontius.  QUANTIFICATION ERROR VERSUS LOCATION ERROR IN COMPARISON OF CATEGORICAL MAPS , 2000 .

[8]  M. Vasconcelos,et al.  Land cover change in two protected areas of Guinea-Bissau (1956-1998) , 2002 .

[9]  Yee Leung,et al.  A Locational Error Model for Spatial Features , 1998, Int. J. Geogr. Inf. Sci..

[10]  J. Mas,et al.  Assessing land use/cover changes: a nationwide multidate spatial database for Mexico , 2004 .

[11]  R. G. Pontlus.  Quantification Error Versus Location Error in Comparison of Categorical Maps , 2006 .

[12]  Wenzhong Shi.  A Generic Statistical Approach for Modelling Error of Geometric Features in GIS , 1998, Int. J. Geogr. Inf. Sci..

[13]  G. Foody.  Thematic map comparison: Evaluating the statistical significance of differences in classification accuracy , 2004 .

[14]  Y. Shimabukuro.  Using shade fraction image segmentation to evaluate deforestation in Landsat Thematic Mapper images , 1998 .

[15]  R. G. Pontius.  Statistical Methods to Partition Effects of Quantity and Location During Comparison of Categorical Maps at Multiple Resolutions , 2002 .

[16]  Alex Hagen,et al.  Fuzzy set approach to assessing similarity of categorical maps , 2003, Int. J. Geogr. Inf. Sci..

[17]  R. Alexander,et al.  Vegetation Mapping: From Patch to Planet , 2000 .

[18]  Wenzhong Shi,et al.  Modelling error propagation in vector-based overlay analysis , 2004 .

[19]  Roger White,et al.  Hierarchical fuzzy pattern matching for the regional comparison of land use maps , 2001, Int. J. Geogr. Inf. Sci..

[20]  Y. Shimabukuro,et al.  Fraction images in multitemporal change detection , 2004 .