Improving change vector analysis by cross-correlogram spectral matching for accurate detection of land-cover conversion

References

• Allen , T. R. and Kupfer , J. A. 2000 . Application of Spherical Statistics to Change Vector Analysis of Landsat Data: Southern Appalachian Spruce-Fir Forests . Remote Sensing of Environment , 74 : 482 – 93 .
   Web of Science ®Google Scholar
• Avissar , R. and Pielke , R. A. 1989 . A Parameterization of Heterogeneous Land Surfaces for Atmospheric Numerical Models and Its Impact on Regional Meteorology . Monthly Weather Review , 117 : 2113 – 36 .
   Web of Science ®Google Scholar
• Bayarjargal , Y. , Karnieli , A. , Bayasgalan , M. , Khudulmur , S. , Gandush , C. and Tucker , C. J. 2006 . A Comparative Study of NOAA-AVHRR Derived Drought Indices Using Change Vector Analysis . Remote Sensing of Environment , 105 : 9 – 22 .
   Web of Science ®Google Scholar
• Borak , J. S. , Lambin , E. F. and Strahler , A. H. 2000 . The Use of Temporal Metrics for Land Cover Change Detection at Coarse Spatial Scales . International Journal of Remote Sensing , 21 : 1415 – 32 .
   Web of Science ®Google Scholar
• Bruzzone , L. and Prieto , D. F. 2000 . Automatic Analysis of the Difference Image for Unsupervised Change Detection . IEEE Transactions on Geoscience and Remote Sensing , 38 : 1171 – 82 .
   Web of Science ®Google Scholar
• Bruzzone , L. and Prieto , D. F. 2002 . An Adaptive Semiparametric and Context-Based Approach to Unsupervised Change Detection in Multi-Temporal Remote-Sensing Images . IEEE Transactions on Image Processing , 11 : 452 – 66 .
   PubMed Web of Science ®Google Scholar
• Celik , T. and Ma , K. K. 2010 . Unsupervised Change Detection for Satellite Images Using Dual-Tree Complex Wavelet Transform . IEEE Transactions on Geoscience and Remote Sensing , 48 : 1199 – 210 .
   Web of Science ®Google Scholar
• Chen , J. , Gong , P. , He , C. , Pu , R. and Shi , P. 2003 . Land-Use/Land-Cover Change Detection Using Improved Change-Vector Analysis . Photogrammetric Engineering & Remote Sensing , 69 : 369 – 79 .
   Web of Science ®Google Scholar
• Chen , J. , önsson , P. J , Tamura , M. , Gu , Z. , Matsushita , B. and Eklundh , L. 2004 . A Simple Method for Reconstructing a High-Quality NDVI Time-Series Data Set Based on the Savitzky-Golay Filter . Remote Sensing of Environment , 91 : 332 – 44 .
   Web of Science ®Google Scholar
• Chen , Y. , Li , X. and Xie , F. 2001 . NDVI Changes in China Between 1989 and 1999 Using Change Vector Analysis Based on Time Series Data . Journal of Geographical Science , 11 : 383 – 92 .
   Google Scholar
• Coppin , P. , Jonckheere , I. , Nackaerts , K. , Muys , B. and Lambin , E. 2004 . Digital Change Detection Methods in Ecosystem Monitoring: A Review . International Journal of Remote Sensing , 25 : 1565 – 96 .
   Web of Science ®Google Scholar
• Datt , B. 2000 . Identification of Green and Dry Vegetation Components with a Cross-Correlogram Spectral Matching Technique . International Journal of Remote Sensing , 21 : 2133 – 9 .
   Web of Science ®Google Scholar
• Dimyati , M. , Mizuno , K. , Kobayashi , S. and Kitamura , T. 1996 . An Analysis of Land Use/Cover Change Using the Combination of MSS Landsat and Land Use Map- a Case Study in Yogyakarta, Indonesia . International Journal of Remote Sensing , 17 : 931 – 44 .
   Web of Science ®Google Scholar
• Ferrier , G. 1999 . Application of Imaging Spectrometer Data in Identifying Environmental Pollution Caused by Mining at Rodalquilar, Spain . Remote Sensing of Environment , 68 : 125 – 37 .
   Web of Science ®Google Scholar
• Ferrier , G. , White , K. , Griffiths , G. , Bryant , R. and Stefouli , M. 2002 . The Mapping of Hydrothermal Alteration Zones on the Island of Lesvos, Greece Using an Integrated Remote Sensing Dataset . International Journal of Remote Sensing , 23 : 341 – 56 .
   Web of Science ®Google Scholar
• Friedl , M. A. , McIver , D. K. , Hodges , J. C. F. , Zhang , X. Y. , Muchoney , D. , Strahler , A. H. Woodcock , C. E. 2002 . Global Land Cover Mapping From MODIS: Algorithms and Early Results . Remote Sensing of Environment , 83 : 287 – 302 .
   Web of Science ®Google Scholar
• Fung , T. and LeDrew , E. 1988 . The Determination of Optimal Threshold Levels for Change Detection Using Various Accuracy Indices . Photogrammetric Engineering & Remote Sensing , 54 : 1449 – 54 .
   Web of Science ®Google Scholar
• Ghosh , A. , Mishra , N. S. and Ghosh , S. 2011 . Fuzzy Clustering Algorithms for Unsupervised Change Detection in Remote Sensing Images . Information Sciences , 181 : 699 – 715 .
   Web of Science ®Google Scholar
• Gillanders , S. N. , Coops , N. C. , Wulder , M. A. , Gergel , S. E. and Nelson , T. 2008 . Multitemporal Remote Sensing of Landscape Dynamics and Pattern Change: Describing Natural and Anthropogenic Trends . Progress in Physical Geography , 32 : 503 – 28 .
   Web of Science ®Google Scholar
• Henderson-Sellers , A. and Pitman , A. J. 1992 . Land Surface Schemes for Future Climate Models: Specification, Aggregation and Heterogeneity . Journal of Geophysical Research , 97 : 2687 – 96 .
   Web of Science ®Google Scholar
• Huete , A. , Didan , K. , Miura , T. and Rodriguez , E. 2002 . Overview of the Radiometric and Biophysical Performance of the MODIS Vegetation Indices . Remote Sensing of Environment , 83 : 195 – 213 .
   Web of Science ®Google Scholar
• Huete , A. , Liu , H. K. , Batchily , K. and Van Leeuwen , W. 1997 . A Comparison of Vegetation Indices Over a Global Set of Tm Images for EOS-MODIS . Remote Sensing of Environment , 59 : 440 – 51 .
   Web of Science ®Google Scholar
• Jakubauskas , M. , David , R. and Kastens , J. 2002 . Crop Identification Using Harmonic Analysis of Time-Series AVHRR NDVI Data . Computers and Electronics in Agriculture , 37 : 127 – 39 .
   Web of Science ®Google Scholar
• Jakubauskas , M. E. , Legates , D. R. and Kastens , J. H. 2001 . Harmonic Analysis of Time-Series AVHRR NDVI Data . Photogrammetric Engineering & Remote Sensing , 67 : 461 – 70 .
   Web of Science ®Google Scholar
• John , R. J. 2005 . Introductory Digital Image Processing: A Remote Sensing Perspective , 3rd , Upper Saddle River , NJ : Prentice Hall .
   Google Scholar
• Lambin , E. F. , Geist , H. and Rindfuss , R. R. 2006 . “ Introduction: Local Processes with Global Impacts ” . In Land-Use and Land-Cover Change, Local Processes and Global Impacts , Edited by: Lambin , E. F. and Geist , H. New York : Springer .
   Google Scholar
• Lambin , E. F. and Strahler , A. H. 1994a . Change-Vector Analysis in Multitemporal Space: A Tool to Detect and Categorize Land-Cover Change Processes Using High Temporal-Resolution Satellite Data . Remote Sensing of Environment , 48 : 231 – 44 .
   Web of Science ®Google Scholar
• Lambin , E. F. and Strahler , A. H. 1994b . Indicators of Land-Cover Change for Change Vector Analysis in Multitemporal Space at Coarse Spatial Scales . International Journal of Remote Sensing , 15 : 2009 – 119 .
   Web of Science ®Google Scholar
• Liu , J. and Deng , X. 2010 . Progress of the Research Methodologies on the Temporal and Spatial Process of LUCC . Chinese Science Bulletin , 55 : 1 – 9 .
   Web of Science ®Google Scholar
• Liu , J. , Liu , M. , Tian , H. , Zhuang , D. , Zhang , Z. , Zhang , W. , Tang , X. and Deng , X. 2005 . Spatial and Temporal Patterns of China's Cropland During 1990–2000: An Analysis Based on Landsat TM Data . Remote Sensing of Environment , 98 : 442 – 56 .
   Web of Science ®Google Scholar
• Liu , J. , Liu , M. , Zhuang , D. , Zhang , Z. and Deng , X. 2003 . Study on Spatial Pattern of Land-Use Change in China During 1995–2000 . Science in China Series D-Earth Sciences , 46 : 373 – 84 .
   Web of Science ®Google Scholar
• Loveland , T. R. , Reed , B. C. , Brown , J. F. , Ohlen , D. O. , Zhu , Z. , Yang , L. and Merchant , J. W. 2000 . Development of a Global Land Cover Characteristics Database and IGBP DISCover from 1 Km AVHRR Data . International Journal of Remote Sensing , 21 : 1303 – 30 .
   Web of Science ®Google Scholar
• Lunetta , R. S. , Knight , J. F. , Ediriwickrema , J. , Lyon , J. G. and Worthy , L. D. 2006 . Land-Cover Change Detection Using Multi-Temporal MODIS NDVI Data . Remote Sensing of Environment , 105 : 142 – 54 .
   Web of Science ®Google Scholar
• Lupo , F. , Reginster , I. and Lambin , E. F. 2001 . Monitoring Land-Cover Changes in West Africa with SPOT Vegetation: Impact of Natural Disasters in 1998–1999 . International Journal of Remote Sensing , 22 : 2633 – 9 .
   Web of Science ®Google Scholar
• Malila , W. A. 1980 . “ Change Vector Analysis: An Approach for Detecting Forest Changes with Landsat ” . In Proceedings of the 6th Annual Symposium on Machine Processing of Remotely Sensed Data , 326 – 35 . West Lafayette , IN : Purdue University .
   Google Scholar
• Morisette , J. T. and Khorram , S. 2000 . Accuracy Assessment Curves for Satellite-Based Change Detection . Photogrammetric Engineering and Remote Sensing , 66 : 875 – 80 .
   Web of Science ®Google Scholar
• Redo , D. J. and Millington , A. C. 2011 . A Hybrid Approach to Mapping Land-Use Modification and Land-Cover Transition from MODIS Time-Series Data: A Case Study from the Bolivian Seasonal Tropics . Remote Sensing of Environment , 115 : 353 – 72 .
   Web of Science ®Google Scholar
• Schmid , T. , Koch , M. and Gumuzzio , J. 2005 . Multisensor Approach to Determine Changes of Wetland Characteristics in Semiarid Environments (Central Spain) . IEEE Transactions on Geoscience and Remote Sensing , 43 : 2516 – 25 .
   Web of Science ®Google Scholar
• Tan , M. , Li , X. , Xie , H. and Lu , C. 2005 . Urban Land Expansion and Arable Land Loss in China: A Case Study of Beijing-Tianjin-Hebei Region . Land Use Policy , 22 : 187 – 96 .
   Web of Science ®Google Scholar
• Tucker , J. , Townshend , J. R. and Goff , T. E. 1985 . African Land-Cover Classification Using Satellite Data . Science , 227 : 369 – 75 .
   PubMed Web of Science ®Google Scholar
• Van Der Meer , F. 2000 . Spectral Curve Shape Matching with a Continuum Removed CCSM Algorithm . International Journal of Remote Sensing , 21 : 3179 – 85 .
   Web of Science ®Google Scholar
• Van Der Meer , F. and Bakker , W. 1997 . CCSM: Cross Correlogram Spectral Matching . International Journal of Remote Sensing , 18 : 1197 – 201 .
   Web of Science ®Google Scholar
• Wang , L. , Chen , J. , Gong , P. , Shimazaki , H. and Tarnura , M. 2009 . Land Cover Change Detection with a Cross-Correlogram Spectral Matching Algorithm . International Journal of Remote Sensing , 30 : 3259 – 73 .
   Web of Science ®Google Scholar
• Wolfe , R. E. , Nishihama , M. , Fleig , A. J. , Kuyper , J. A. , Roy , D. P. , Storey , J. C. and Patt , F. S. 2002 . Achieving Sub-Pixel Geolocation Accuracy in Support of MODIS Land Science . Remote Sensing of Environment , 83 : 31 – 49 .
   Web of Science ®Google Scholar
• Yao , S. , Chen , Z. and Zhu , Y. 2006 . The Urban Agglomerations of China , 157 – 72 . Hefei : University of Science and Technology of China Press .
   Google Scholar
• Zhan , X. , Sohlberg , R. A. , Townshend , J. R. G. , DiMiceli , C. , Carroll , M. L. , Eastman , J. C. , Hansen , M. C. and DeFries , R. S. 2002 . Detection of Land Cover Changes Using MODIS 250 M Data . Remote Sensing of Environment , 83 : 336 – 50 .
   Web of Science ®Google Scholar
• Zhang , X. , Sun , R. , Zhang , B. and Tong , Q. 2008 . Land Cover Classification of the North China Plain Using MODIS_EVI Time Series . ISPRS Journal of Photogrammetry & Remote Sensing , 63 : 476 – 84 .
   Web of Science ®Google Scholar