Seasonal variation in land-cover classification accuracy in a diverse region

Photogrammetric Engineering and Remote Sensing

Volumn 78, Issue 3, 2012, Pages 271-280

  Sinha, Priyakant ^a   Kumar, Lalit ^a   Reid, Nick ^a  

^a UNIVERSITY OF NEW ENGLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CONSERVATION; RAIN;

HIGHLY ACCURATE; LAND COVER CLASSIFICATION; RAINFALL CONDITION; SEASONAL VARIATION; SPECTRAL VARIABILITY; SUBTROPICAL CLIMATES; WINTER CROPS; WINTER RAINFALL;

LAND USE;

ACCURACY ASSESSMENT; IMAGE CLASSIFICATION; LAND COVER; LAND USE CHANGE; LANDSAT; NDVI; RAINFALL; SEASONAL VARIATION; SPECTRAL ANALYSIS;

EID: 84857962342     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: 10.14358/PERS.78.3.271     Document Type: Article

References (51)

1. Agresti, A., 1996. An Introduction to Categorical Data Analysis, Wiley, New York, 312 p.
2. BoM, 2010, Bureau of Meteorology Australia, URL: http://www.bom.gov.au/nsw/ (last date accessed: 07 December 2011).
3. Bureau of Rural Sciences (BRS), 2006. Guidelines for Land Use Mapping in Australia: Principles, Procedures and Definition. Canberra, ACT 2601.
4. Bruzzone, L., and S.B. Serpico, 2000. A technique for feature selection in multiclass problems, International Journal of Remote Sensing, 21:549-563.
5. Chander, G., and B. Markham, 2003. Revised Landsat-5 TM radiometric calibration procedures and post classification dynamic ranges, IEEE Transaction on Geoscience and Remote Sensing, 41(11):2674-2677.
6. Chavez, P.S., Jr., and A.Y. Kwarteng, 1989. Extracting spectral contrast in Landsat Thematic Mapper image data using selective principal component analysis, Photogrammetric Engineering & Remote Sensing, 55(3):339-348.
7. Chilar, J., 2000. Land cover mapping of large areas from satellites: Status and research priorities, International Journal of Remote Sensing, 2:1093-1114.
8. Coppin, P., I. Jonckheere, K. Nackaerts, and B. Muys, 2004. Digital change detection methods in ecosystem monitoring: A review, International Journal of Remote Sensing, 25:1565-1596.
9. Congalton, R.G., 1991. A review of assessing the accuracy of classification of remotely sensed data, Remote Sensing of Environment, 37:33-46.
10. Congalton, R.G., and K. Green, 1999. Assessing the Accuracy of Remotely Sensed Data: Principle and Practices, Mapping Science Series, Lewis Publications, CRC Press.
11. Congalton, R.G., R.G. Oderwald, and R.A. Mead, 1983. Assessing Landsat classification accuracy using discrete multivariate analysis statistical techniques, Photogrammetric Engineering & Remote Sensing, 49(12):1671-1678.
12. Crist, E.P., and R.C. Cicone, 1984. Application of the tasseled cap concept to simulated Thematic Mapper data, Photogrammetric Engineering & Remote Sensing, 50(3):343-352.
13. DECC Report, (2008) The Bioregions of New South Wales-their biodiversity, conservation and history, Department of Environment and Climate Change, New South Wales, URL: http://www.environment.nsw.gov.au/bioregions/Bioregions.htm (last date accessed: 07 December 2011).
14. Eklundh, L., and A. Singh, 1993. A comparative analysis of standardized and unstandardized principal component analysis in remote sensing, International Journal of Remote Sensing, 14:1359-1370.
15. Eckhardt, D.W., J.P. Verdin, and G.R. Lyford, 1990. Automated update of an irrigated lands GIS using SPOT HRV imagery, Photogram-metric Engineering & Remote Sensing, 56(12):1515-1522.
16. Forman, R.T.T., 1995. Land Mosaics: The Ecology of Landscapes and Regions, Cambridge University Press, Cambridge, UK.
17. Fiorella, M., and W.J. Ripple, 1993. Determination succession stage of temperate coniferous forests with Landsat satellite data, Photogrammetric Engineering & Remote Sensing, 59(2):239-246.
18. Foody, G.M., 2003. Remote sensing of tropical forest environments: Towards the monitoring of environmental resources for sustainable development, International Journal of Remote Sensing, 24:4035-4046.
19. Foody, G.M., 2004. Thematic map comparison: Evaluating the statistical significance of differences in classification accuracy, Photogrammetric Engineering & Remote Sensing, 70(6): 627-633.
20. Fuller, R.M., G.B. Groom, and A.R. Jones, 1994. The land cover map of Great Britain: An automated classification of Landsat Thematic Mapper data, Photogrammetric Engineering & Remote Sensing, 60(5):553-562.
21. Gong, P., and PJ. Howarth, 1990. An assessment of some factors influencing multispectral land-cover classification, Photogrammetric Engineering & Remote Sensing, 56(5):597-603.
22. Guerschman, J.P., J.M. Paruelo, CD. Bella, M.C. Giallorenzi, and F. Pacin, 2003. Land cover classification in the Argentine Pampas using multi-temporal Landsat TM data, International Journal of Remote Sensing, 24(17):3381-3402.
23. Haack, B., and S. Jampoler, 1995. Colour composite comparisons for agricultural assessments, International Journal of Remote Sensing, 16(9):1589-1598.
24. Hall, J.P., 2001. Criteria and indicators of sustainable forest management, Environmental Monitoring and Assessment, 67: 109-119.
25. Helmer, E.H., S. Brown, and W.B. Cohen, 2000. Mapping montane tropical forest successional stage and land use with multi-date Landsat imagery, International Journal of Remote Sensing, 21(11):2163-2183.
26. Jensen, J.R., K. Rutchey, M.S. Koch, and S. Natumalani, 1995. Inland wetland change detection in the Everglades water conservation area 2A using a time series of normalized remotely sensed data, Photogrammetric Engineering & Remote Sensing, 61(2):199-209.
27. Kauth, R.J., and G.S. Thomos, 1976. The tasseled cap- A graphic description of the spectral-temporal development of agricultural crops as seen by Landsat, Proceedings of the Symposium on Machine Processing of Remotely Sensed Data, LARS, West Lafayette, Indiana, pp. 41-51.
28. Laba, M., S.D. Smith, and S.D. Degloria, 1997. Landsat based land cover mapping in the lower Yuna river watershed in the Dominican Republic, International Journal of Remote Sensing, 18:3011-3025.
29. Langford, M., and W. Bell, 1997. Land cover mapping in a tropical hillsides environment: A case study in the Cauca region of Colombia, International Journal of Remote Sensing, 18:1289-1306.
30. Lillesand, T.M., and R.W. Kiefer, 1994. Remote Sensing and Image Interpretation, Wiley, New York.
31. Liu, C., P. Frazier, and L. Kumar, 2007. Comparative assessment of the measures of thematic classification accuracy, Remote Sensing of Environment, 107:606-616.
32. Lu, D., M. Batistella, and E. Moran, 2007. Land-cover classification in Brazilian Amazon with the integration of Landsat ETM+ and Radarsat data, International Journal of Remote Sensing, 28:5447-5459.
33. Mausel, P.W., W.J. Kramber, and J.K. Lee, 1990. Optimum band selection for supervised classification of multispectral data, Photogrammetric Engineering & Remote Sensing, 56(1):55-60.
34. Mas, J.F., 1999. Monitoring land-cover changes: A comparison of change detection techniques, International Journal of Remote Sensing, 20:139-152.
35. Miller, A.B., E.S. Bryant, and R.W. Birnie, 1998. An analysis of land cover changes in the northern forest of New England using multi-temporal Landsat MSS data, International Journal of Remote Sensing, 19:245-265.
36. Murakami, T., 2004. Seasonal variation in classification accuracy of forest-cover types examined by a single band or band combinations, Journal of Forest Research, 9:211-215.
37. Pax-Lenney, M., and C.E. Woodcock, 1997. Monitoring agricultural lands in Egypt with multitemporal Landsat TM imagery: How many images are needed?, Remote Sensing of Environment, 59:522-529.
38. Price, J., 1987. Calibration of satellite radiometers and the comparison of vegetation indices, Remote Sensing of Environment, 21:15-27.
39. Rahman, S., H. Rahman, and M. Keramat, 2007. Study on the seasonal changes of land cover and their impact on surface albedo in the northwestern part of Bangladesh using remote sensing, International Journal of Remote Sensing, 28(5):1001-1022.
40. Ready, P.J., and P.A. Wintz, 1973, Information extraction, SNR improvement and data compression in multi-spectral imagery, IEEE Transactions on Communication, COIM- 21(10):1123-1130.
41. Reid, R.S., R.L. Kruska, N. Muthui, A. Taye, S. Wotton, C.J. Wilson, and W. Mulatu, 2000. Land-use and land-cover dynamics in response to change in climatic, biological and socio-political forces: The case of southwestern Ethiopia, Landscape Ecology, 15:339-355.
42. Richard, Y., and I. Poccard, 1998. A statistical study of NDVI sensitivity to seasonal and interannual rainfall variations in Southern Africa, International Journal of Remote Sensing, 19:2907-2920.
43. Schriever, J.R., and R.G. Congalton, 1995. Evaluating seasonal variability as an aid to covertype mapping from Landsat Thematic Mapper data in the northeast, Photogrammetric Engineering & Remote Sensing, 61(3):321-327.
44. Shoshany, M., P. Kutiel, H. Lavee, and M. Eichler, 1994. Remote sensing of vegetation cover along a climatological gradient, ISPRS Journal of Photogrammetry and Remote Sensing, 49:2-10.
45. Singh, A., and A. Harrison, 1985. Standardized principal components, International Journal of Remote Sensing, 6:883-896.
46. Smits, P.C., S.G. Dellepiane, and R.A. Schowengerdt, 1999. Quality assessment of image classification algorithms for land-cover mapping: A review and a proposal for a cost- based approach, International Journal of Remote Sensing, 20:1461-1486.
47. Stenback, J.M., and R.G. Congalton, 1990. Using Thematic Mapper imagery to examine forest understory, Photogrammetric Engineering & Remote Sensing. 56(12):1285-1290.
48. Story, M., and R.G. Congalton, 1986. Accuracy Assessment: A user's perspective, Photogrammetric Engineering & Remote Sensing, 52(3):397-399.
49. Tucker, C.J., 1979. Red and photographic infrared linear combinations for monitoring vegetation, Remote Sensing of Environment, 8:127-150.
50. Turner, B.L., W.B. Mayer, and D.L. Skole, 1994. Global land-use/land-cover change: Towards an integrated study, AMBIO, 23:91-95.
51. Wolter, P.T., D.J. Mladenoff, G.E. Host, and T.R. Crow, 1995. Improved forest classification in the northern lake states using multi-temporal Landsat imagery, Photogrammetric Engineering & Remote Sensing, 61(11):1129-1143.