Using a hybrid fuzzy classifier (HFC) to map typical grassland vegetation in Xilin River Basin, Inner Mongolia, China

References

• Berberoglu , S. , Curran , P. J. , Lloyd , C. D. and Atkinson , P. M. 2000 . The integration of spectral and textural information using neural networks for land cover mapping in the Mediterranean. . Computers and Geosciences , 26 : 385 – 396 .
   Web of Science ®Google Scholar
• Černá , L. and Chytrý , M. 2005 . Supervised classification of plant communities with artificial neural networks. . Journal of Vegetation Science , 16 : 407 – 414 .
   Web of Science ®Google Scholar
• Chavez , P. S. Jr. 1996 . Image‐based atmospheric corrections – revisited and improved. . Photogrammetric Engineering and Remote Sensing , 62 : 1025 – 1036 .
   Web of Science ®Google Scholar
• Chen , S. , Xiao , X. , Liu , J. and Zhuang , D. 2003 . “ Observation of land use/cover change of the Xilin River Basin, Inner Mongolia, using multi‐temporal Landsat images. ” . In Proceedings of SPIE series, Ecosystems Dynamics, Ecosystem‐Society Interactions, and Remote Sensing Applications for Semi‐Arid and Arid Land 674 – 685 . Hangzhou, China
   Google Scholar
• Cingolani , A. M. , Renison , D. , Zak , M. R. and Cabido , M. R. 2004 . Mapping vegetation in a heterogeneous mountain rangeland using landsat data: an alternative method to define and classify land‐cover units. . Remote Sensing of Environment , 92 : 84 – 97 .
   Web of Science ®Google Scholar
• de Leeuw , J. , Liu , X. , Schmidt , K. , Skidmore , A. K. , Jia , H. and Yang , L. 2006 . Comparing accuracy assessments to infer superiority of image classification methods. . International Journal of Remote Sensing , 27 : 223 – 232 .
   Web of Science ®Google Scholar
• Debba , P. , Carranza , E. J. M. , Stein , A. , VAn Ruitenbeek , F. J. A. and Van Der Meer , F. D. 2005 . Optimal field sampling for targeting minerals using hyperspectral data. . Remote Sensing of Environment , 99 : 373 – 386 .
   Web of Science ®Google Scholar
• ERDAS . 2000 . ERDAS field guide (5^th ed.) , Atlanta : ERDAS .
   Google Scholar
• ESRI . 2005 . PC ArcGIS desktop help (ver. 9.1), Redland, CA
   Google Scholar
• Gad , S. and Kusky , T. 2006 . Lithological mapping in the Eastern Desert of Egypt, the Barramiya area, using Landsat thematic mapper (TM). . Journal of African Earth Sciences , 44 : 196 – 202 .
   Web of Science ®Google Scholar
• Gao , J. 2006 . Quantification of grassland properties: how it can benefit from geoinformatic technologies? . International Journal of Remote Sensing , 27 : 1351 – 1365 .
   Web of Science ®Google Scholar
• Hanson , H. C. and Dahl , E. 1957 . The use of basic principles in the classification of range vegetation. . Journal of Range Management , 10 : 26 – 33 .
   Google Scholar
• Hea , C. , Zhang , Q. , Li , Y. , Li , X. and Shi , P. 2005 . Zoning grassland protection area using remote sensing and cellular automata modelling – a case study in Xilingol steppe grassland in northern China. . Journal of Arid Environments , 63 : 814 – 826 .
   Web of Science ®Google Scholar
• Higdon , R. and Schafer , D. W. 2001 . Maximum likelihood computations for regression with measurement error. . Computational Statistics and Data Analysis , 35 : 283 – 299 .
   Web of Science ®Google Scholar
• Laba , M. , Ogurcak , D. , Hill , E. , Fegraus , E. , Fiore , J. , DeGloria , S. D. , Gregory , S. K. and Braden , J. 2002 . Conventional and fuzzy accuracy assessment of the New York Gap Analysis Project land cover map. . Remote Sensing of Environment , 81 : 443 – 455 .
   Web of Science ®Google Scholar
• Langley , S. K. , Cheshire , H. M. and Humes , K. S. 2001 . A comparison of single date and multitemporal satellite image classifications in a semi‐arid grassland. . Journal of Arid Environments , 49 : 401 – 411 .
   Web of Science ®Google Scholar
• Li , B. , Yon , S. P. and Li , Z. H. 1988 . Vegetation and its utilization in Xilinhe Basin. . Research on Grassland Ecosystem , 3 : 84 – 183 .
   Google Scholar
• Li , F. R. , Kang , L. F. , Zhang , H. , Zhao , L. Y. , Shirato , Y. and Taniyama , I. 2005 . Changes in intensity of wind erosion at different stages of degradation development in grasslands of Inner Mongolia, China. . Journal of Arid Environments , 62 : 567 – 585 .
   Web of Science ®Google Scholar
• Liang , E. , Vennetier , M. , Lin , J. and Shao , X. 2003 . Relationships between tree increment, climate and above‐ground biomass of grass: a case study in the typical steppe, north China. . Acta Oecologica , 24 : 87 – 94 .
   Web of Science ®Google Scholar
• Lo , C. P. and Choi , J. 2004 . A hybrid approach to urban land use/cover mapping using Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images. . International Journal of Remote Sensing , 25 : 2687 – 2700 .
   Web of Science ®Google Scholar
• Lu , D. 2005 . Integration of vegetation inventory data and Landsat TM image for vegetation classification in the western Brazilian Amazon. . Forest Ecology and Management , 213 : 369 – 383 .
   Web of Science ®Google Scholar
• Nordberg , M. L. and Evertson , J. 2003 . Monitoring change in mountainous dry‐heath vegetation at a regional scale Using multitemporal Landsat TM data. . Ambio , 32 : 502 – 509 .
   PubMed Web of Science ®Google Scholar
• Salovaara , K. J. , Thessler , S. , Malik , R. N. and Tuomisto , H. 2005 . Classification of Amazonian primary rain forest vegetation using Landsat ETM+ satellite imagery. . Remote Sensing of Environment , 97 : 39 – 51 .
   Web of Science ®Google Scholar
• Shrestha , D. P. and Zinck , J. A. 2001 . Land use classification in mountainous areas: integration of image processing, digital elevation data and field knowledge – application to Nepal. . International Journal of Applied Earth Observation and Geoinformation , 3 : 78 – 85 .
   Google Scholar
• Sohn , Y. and Rebello , N. S. 2002 . Supervised and unsupervised spectral angle classifiers. . Photogrammetric Engineering and Remote Sensing , 68 : 1271 – 1280 .
   Web of Science ®Google Scholar
• Sohn , Y. and Qi , J. 2005 . Mapping detailed biotic communities in the Upper San Pedro Valley of southeastern Arizona using Landsat 7 ETM+ data and supervised spectral angle classifier. . Photogrammetric Engineering and Remote Sensing , 71 : 709 – 718 .
   Web of Science ®Google Scholar
• Stuart , N. , Barratt , T. and Place , C. 2006 . Classifying the neotropical savannas of Belize using remote sensing and ground survey. . Journal of Biogeography , 33 : 476 – 490 .
   Web of Science ®Google Scholar
• The Inner Mongolia and Ninxia Survey Team of CAS . 1985 . Vegetation in Inner Mongolia , Beijing : China Science Press .
   Google Scholar
• Tong , C. , Wu , J. , Yong , S. and Yong , W. 2004 . A landscape‐scale assessment of steppe degradation in the Xilin River Basin, Inner Mongolia, China. . Journal of Arid Environments , 59 : 133 – 149 .
   Web of Science ®Google Scholar
• Wang , Z. and Han , X. 2005 . Diurnal variation in methane emissions in relation to plants and environmental variables in the Inner Mongolia marshes. . Atmospheric Environment , 39 : 6295 – 6305 .
   Web of Science ®Google Scholar
• Wang , Q. and Tenhunen , J. D. 2004 . Vegetation mapping with multitemporal NDVI in North Eastern China Transect (NECT). . International Journal of Applied Earth Observation and Geoinformation , 6 : 17 – 31 .
   Google Scholar
• Xu , M. , Watanachaturaporn , P. , Varshney , P. K. and Arora , M. K. 2005 . Decision tree regression for soft classification of remote sensing data. . Remote Sensing of Environment , 97 : 322 – 336 .
   Web of Science ®Google Scholar
• Zha , Y. , Gao , J. , Ni , S. , Liu , Y. , Jiang , J. and Wei , Y. 2003 . A spectral reflectance‐based approach to quantification of grassland cover from Landsat TM imagery. . Remote Sensing of Environment , 87 : 371 – 375 .
   Web of Science ®Google Scholar
• Zhang , J. and Foody , G. M. 1998 . A fuzzy classification of sub‐urban land cover from remotely sensed imagery. . International Journal of Remote Sensing , 19 : 2721 – 2738 .
   Web of Science ®Google Scholar