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

International Journal of Remote Sensing

Volumn 29, Issue 8, 2008, Pages 2317-2337

  Sha, Z ^a   Bai, Y ^b   Xie, Y ^a   Yu, M ^b   Zhang, L ^c  

^a EASTERN MICHIGAN UNIVERSITY   (United States)

^b INSTITUTE OF BOTANY   (China)

^c INSTITUTE OF MICROBIOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ECOLOGY; FUZZY LOGIC; IMAGE RESOLUTION; SATELLITE IMAGERY;

BIO-CLASS; BIO-S CLASSES; HYBRID FUZZY CLASSIFIER; SPEC-CLASSES;

VEGETATION;

COMMUNITY ECOLOGY; FUZZY MATHEMATICS; GRASSLAND; LANDSAT THEMATIC MAPPER; SPECTRAL ANALYSIS; VEGETATION MAPPING;

ASIA; CHINA; EURASIA; FAR EAST; NEI MONGGOL; XILIN BASIN;

EID: 41549155598     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160701408436     Document Type: Article

References (34)

1. 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, pp. 385-396.
2. Černá, L. and Chytrý, M. (2005) Supervised classification of plant communities with artificial neural networks. Journal of Vegetation Science, 16, pp. 407-414.
3. Chavez, P. S. Jr. (1996) Image-based atmospheric corrections-revisited and improved. Photogrammetric Engineering and Remote Sensing, 62, pp. 1025-1036.
4. 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. Proceedings of SPIE series, Ecosystems Dynamics, Ecosystem-Society Interactions, and Remote Sensing Applications for Semi-Arid and Arid Land, pp. 674-685.
5. 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, pp. 84-97.
6. 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, pp. 223-232.
7. 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, pp. 373-386.
8. ERDAS (2000) ERDAS field guide (5th ed.), ERDAS, Atlanta
9. ESRI (2005)
10. 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, pp. 196-202.
11. Gao, J. (2006) Quantification of grassland properties: How it can benefit from geoinformatic technologies?. International Journal of Remote Sensing, 27, pp. 1351-1365.
12. Hanson, H. C. and Dahl, E. (1957) The use of basic principles in the classification of range vegetation. Journal of Range Management, 10, pp. 26-33.
13. 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, pp. 814-826.
14. Higdon, R. and Schafer, D. W. (2001) Maximum likelihood computations for regression with measurement error. Computational Statistics and Data Analysis, 35, pp. 283-299.
15. 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, pp. 443-455.
16. 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, pp. 401-411.
17. Li, B., Yon, S. P. and Li, Z. H. (1988) Vegetation and its utilization in Xilinhe Basin. Research on Grassland Ecosystem, 3, pp. 84-183.
18. 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, pp. 567-585.
19. 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, pp. 87-94.
20. 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, pp. 2687-2700.
21. 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, pp. 369-383.
22. 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, pp. 502-509.
23. 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, pp. 39-51.
24. 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, pp. 78-85.
25. Sohn, Y. and Rebello, N. S. (2002) Supervised and unsupervised spectral angle classifiers. Photogrammetric Engineering and Remote Sensing, 68, pp. 1271-1280.
26. 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, pp. 709-718.
27. Stuart, N., Barratt, T. and Place, C. (2006) Classifying the neotropical savannas of Belize using remote sensing and ground survey. Journal of Biogeography, 33, pp. 476-490.
28. The Inner Mongolia and Ninxia Survey Team of CAS (1985) Vegetation in Inner Mongolia, China Science Press, Beijing
29. 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, pp. 133-149.
30. 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, pp. 6295-6305.
31. 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, pp. 17-31.
32. 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, pp. 322-336.
33. 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, pp. 371-375.
34. 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, pp. 2721-2738.