Three-date landsat thematic mapper composite in seasonal land-cover change identification in a mid-latitudinal region of diverse climate and land use

Journal of Applied Remote Sensing

Volumn 6, Issue 1, 2012, Pages

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

^a UNIVERSITY OF NEW ENGLAND   (Australia)

Author keywords

aggregation; land use; referential refinement; transformation

Indexed keywords

AGGLOMERATION; AGGREGATES; CONSERVATION; LAND USE; MAPPING;

CLASSIFICATION ACCURACY; LAND-USE AND LAND COVER CLASSIFICATIONS; LANDSAT THEMATIC MAPPER; LANDSAT THEMATIC MAPPER IMAGES; REFERENTIAL REFINEMENT; REFINEMENT TECHNIQUES; SPECTRAL CHARACTERISTICS; TRANSFORMATION;

CLIMATE CHANGE;

EID: 84905482307     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.JRS.6.063595     Document Type: Article

References (57)

1. Bureau of Rural science (BRS), "Guidelines for land use mapping in Australia: principles, procedures and definitions," in A technical handbook supporting the Australian Collaborative Land Use Mapping Programme, 3rd ed., BRS Publication Sales, Canberra ACT (2006), http://adl.brs.gov.au/data/ warehouse/aclump9abc-007/aclump9abc-00711a08/ landUseMappingAustGuidelines-ed3. pdf.
2. R. J. Hobbs, "Effects of landscape fragmentation on ecosystem processes in the Western Australian wheatbel," Biol. Conserv. 64(3), 193-201 (1993), http://dx.doi.org/10.1016/ 0006-3207(93)90321-Q.
3. R. S. Reid et al., "Land-use and land-cover dynamics in response to change in climatic, biological and socio-political forces: the case of southwestern Ethiopia," Landscape Ecol. 15(4) 339-355 (2000), http://dx.doi.org/10.1023/A:1008177712995.
4. A. De Sherbinin, "A CIESIN thematic guide to Land-Use and Land-Cover Change (LUCC)," Center for Intern. Earth Science Information Network (CIESIN) Columbia University Palisades, NY, USA, (2002), http://sedac. ciesin. columbia. edu/guides/lu/CIESIN-LUCC-TG. Pdf.
5. C. Xiuwan, "Using remote sensing and GIS to analyse land cover change and its impacts on regional sustainable development," Int. J. Rem. Sens. 23(1), 107-124 (2002), http://dx.doi .org/10.1080/01431160010007051.
6. A. Falcucci, L. Maiorano, and L. Boitani, "Changes in land-use/land-cover patterns in Italy and their implications for biodiversity conservation," Landscape Ecol. 22(4), 617-631 (2007), http://dx.doi.org/10. 1007/s10980-006-9056-4.
7. P. Coppin et al., "Digital change detection methods in ecosystem monitoring, a review," Int. J. Rem. Sens. 25(9), 1565-1596 (2004), http://dx.doi.org/10.1080/0143116031000101675.
8. M. Pax-Lenney and C. E. Woodcock, "Monitoring agricultural lands in Egypt with multitemporal landsat TM imagery: how many images are needed?," Rem. Sens. Environ. 59(3), 522-529 (1997), http://dx.doi.org/10.1016/S0034- 4257(96)00124-1.
9. B. C. Reed et al., "Measuring phenological variability from satellite imagery," J. Vegetat. Sci. 5(5), 703-714 (1994), http://dx.doi.org/10.2307/3235884.
10. J. R. Schriever and R. G. Congalton, "Evaluating seasonal variability as an aid to cover-type mapping from landsat thematic mapper data in the Northeast," Photogramm. Eng. Rem. Sens. 61(3), 321-327 (1995
11. P. T. Wolter et al., "Improved forest classification in the northern lakes states using multitemporal landsat imagery," Photogramm. Eng. Rem. Sens. 61(9), 1129-1143(1995
12. T. Murakami, "Seasonal variation in classification accuracy of forest-cover types examined by a single band or band combinations," J. Forest Res. 9, 211-215 (2004), http://dx.doi.org/ 10.1007/s10310-004-0075-1.
13. E. H. Wilson and S. A. Sader, "Detection of forest harvest type using multiple dates of landsat TM imagery," Rem. Sens. Environ. 80(3), 385-396 (2002), http://dx.doi.org/10 .1016/S0034-4257(01)00318-2.
14. D. Peterson, K. Price, and E. Martinko, "Discriminating between cool season and warm season grassland cover types in northeastern Kansas," Int. J. Rem. Sens. 23(23), 5015-5030 (2002), http://dx.doi.org/10.1080/ 01431160210142833.
15. K. Green, D. Kempka, and L. Lackey, "Using Re. Sens. to detect and monitor land-cover and land-use change," Photogramm. Eng. Rem. Sens. 60(3), 331-337 (1994
16. J. Jensen, Introductory Digital Image Processing: A Remote Sensing Perspective, Pearson Prentice Hall, Upper Saddle River, NJ (2005
17. D. Lu et al., "Change detection techniques," Int. J. Rem. Sens. 25(12), 2365-2407 (2004), http://dx.doi.org/10.1080/0143116031000139863.
18. A. Miller, E. Bryant, and R. Birnie, "An analysis of land cover changes in the Northern forest of New England using multitemporal landsat MSS data," Int. J. Rem. Sens. 19(2), 245-265 (1998), http://dx.doi.org/10.1080/ 014311698216233.
19. L. Muñoz-Villers and J. López-Blanco, "Land use/cover changes using landsat TM/ETM images in a tropical and biodiverse mountainous area of central-eastern Mexico," Int. J. Rem. Sens. 29(1), 71-93 (2008), http://dx.doi.org/10.1080/01431160701280967.
20. M. Torres-Vera, R. Prol-Ledesma, and D. Garcia-Lopez, "Three decades of land use variations in Mexico city," Int. J. Rem. Sens. 30(1), 117-138 (2009), http://dx.doi.org/10.1080/ 01431160802261163.
21. S. Sader and J. Winne, "RGB-NDVI color composites for visualizing forest change dynamics," Int. J. Rem. Sens. 13(16), 3055-3067 (1992), http://dx.doi.org/10.1080/ 01431169208904102.
22. S. A. Sader et al., "Forest change monitoring of a remote-biosphere reserve," Int. J. Rem. Sens. 22(10), 1937-1950 (2001), http://dx.doi.org/ 10.1080/01431160117141.
23. D. J. Hayes and S. A. Sader, "Comparison of change-detection techniques for monitoring tropical forest clearing and vegetation regrowth in a time series," Photogramm. Eng. Rem. Sens. 67(9), 1067-1075 (2001
24. DECC Report, "The Bioregions of New South Wales-their biodiversity, conservation and history," Department of Environ. and Climate Change, New South Wales, (2008), http:// www.environment.nsw.gov.au/bioregions/ BioregionOverviews.htm (accessed August 2012
25. BoM, "Bureau of Meteorology Australia," (2010), http://www.bom.gov.au/nsw/ (accessed March 2012
26. J. T. Baxter and L. D. Russell, "Land use mapping requirements for natural resource management in the Murray-Darling basin," Project M305: Task 6. Department of Conservation and Natural Resources, Vicoria (1994
27. M. J. Hill et al., "Pasture land cover in eastern Australia from NOAA-AVHRR NDVI and classified Landsat TM," Rem. Sens. Environ. 67(1), 32-50 (1999), http://dx.doi.org/10 .1016/S0034-4257(98)00075-3.
28. G. Chander and B. Markham, "Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges," IEEE Trans. Geosci. Rem. Sens. 41(11), 2674-2677 (2003), http://dx.doi.org/10.1109/TGRS. 2003.818464.
29. J. C. Price, "Calibration of satellite radiometers and the comparison of vegetation indices" Rem. Sens. Environ. 21(1), 15-27 (1987), http://dx.doi.org/10.1016/0034-4257(87)90003-4.
30. J. Mas, "Monitoring land-cover changes: a comparison of change detection techniques," Int. J. Rem. Sens. 20(1), 139-152 (1999), http://dx.doi.org/10.1080/014311699213659.
31. D. Eckhardt, J. Verdin, and G. Lyford, "Automated update of an irrigated lands GIS using SPOT HRV imagery," Photogrammm Eng. Rem. Sens. 56(11), 1515-1522 (1990
32. J. R. Jensen et al., "Inland wetland change detection in the everglades water conservation area 2A using a time series of normalized remotely sensed data," Photogrammm Eng. Rem. Sens. 61(2), 199-209 (1995
33. M. F. Jasinski, "Sensitivity of the normalized difference vegetation index to subpixel canopy cover, soil albedo, and pixel scale," Rem. Sens. Environ. 32(2-3), 169-187 (1990), http://dx .doi.org/10.1016/0034-4257(90)90016- F.
34. B. C. Gao, "NDWI-a normalized difference water index for Re. Sens. of vegetation liquid water from space," Rem. Sens. Environ. 58(3), 257-266 (1996), http://dx.doi.org/10.1016/ S0034-4257(96)00067-3.
35. R. Myneni and G. Asrar, "Atmospheric effects and spectral vegetation indices," Rem. Sens. Environ. 47(3), 390-402 (1994), http://dx.doi.org/10. 1016/0034-4257(94)90106-6.
36. T. Fung and W. Siu, "Environmental quality and its changes, an analysis using NDVI," Intern. J. Rem. Sens. 21(5), 1011-1024 (2000), http://dx.doi.org/10.1080/ 014311600210407.
37. R. S. Lunetta et al., "Impacts of vegetation dynamics on the identification of land-cover change in a biologically complex community in North Carolina, USA," Rem. Sens. Environ. 82(2-3), 258-270 (2002), http://dx.doi.org/10.1016/S0034-4257(02)00042-1.
38. E. P. Crist and R. C. Cicone, "Application of the tasseled cap concept to simulated thematic mapper data (transformation for MSS crop and soil imagery)," Photogrammm Eng. Rem. Sens. 50(3), 343-352 (1984
39. T. M. Lillesand and R. Keifer, Remote sensing and data interpretation, pp. 550-580, John Wiley and Sons, New York (1994
40. A. Knight, D. Tindall, and B. Wilson, "A multitemporal multiple density slice method for wetland mapping across the state of Queensland, Australia," Int. J. Rem. Sens. 30(13), 3365-3392 (2009), http://dx.doi.org/10.1080/01431160802562180.
41. W. B. Cohen et al., "An efficient and accurate method for mapping forest clearcuts in the Pacific Northwest using landsat imagery," Photogrammm Eng. Rem. Sens. 64(4), 293-300 (1998
42. I. Ashdown, "Accurate modeling of LED colors: a scientific approach," LED's Magazine, 21-23 (2005), .
43. C. Mongkolsawat and P. Thirangoon, "Land cover change detection using digital analysis of remotely sensed satellite data: a methodological stud," ACRS (2003
44. R. G. Congalton, R. G. Oderwald, and R. A. Mead, "Assessing landsat classification accuracy using discrete multivariate analysis statistical technique," Photogrammm Eng. Rem. Sens. 49(12), 1671-1678 (1983
45. R. G. Congalton, "A review of assessing the accuracy of classifications of remotely sensed data," Rem. Sens. Environ. 37(1), 35-46 (1991), http://dx.doi.org/10.1016/0034-4257(91) 90048-B.
46. P. Smits, S. Dellepiane, and R. Schowengerdt, "Quality assessment of image classification algorithms for land-cover mapping: a review and a proposal for a cost-based approach," Int. J. Rem. Sens. 20(8), 1461-1486 (1999)
47. J. Cohen, "A coefficient of agreement for nominal scales," Educat. Psychol. Meas. 20, 37-46 (1960), http://dx.doi.org/10.1177/ 001316446002000104.
48. P. Gong and P. Howarth, "An assessment of some factors influencing multispectral landcover classification," Photogrammm Eng. Rem. Sens. 56(5), 597-603 (1990
49. R. G. Congalton and K. Green, "Assessing the accuracy of remotely sensed data: principle and practices," pp. 105-119, Taylor and Francis Groups, CRC Press, Boca Raton, FL (2008
50. D. P. Rao et al., "IRS-1 A application for land use/land cover mapping in India," Curr. Sci. 61(3-4), 153-161 (1991
51. J. Adinarayana and N. R. Krishna, "Integration of multiseasonal remotely-sensed images for improved landuse classification of a hilly watershed using geographical information system," Int. J. Rem. Sens. 17(9), 1679-1688 (1996), http://dx.doi.org/10.1080/014311 69608948731.
52. Y. Richard and I. Poccard, "A statistical study of NDVI sensitivity to seasonal and interannual rainfall variations in Southern Africa," Int. J. Rem. Sens. 19(15), 2907-2920 (1998), http://dx.doi.org/10.1080/ 014311698214343.
53. S. Rahman, H. Rahman, and M. Keramat, "Study on the seasonal changes of land cover and their impact on surface albedo in the northwestern part of Bangladesh using remote sensing," Int. J. Rem. Sens. 28(5), 1001-1022 (2007), http://dx.doi.org/10.1080/01431160 600810880.
54. A. Agresti, An Introduction to Categorical Data Analysis, p. 312, Wiley, New York, NY (1996
55. G. M. Foody, "Remote Sensing of tropical forest environments: towards the monitoring of environmental resources for sustainable development," Int. J. Rem. Sens. 24(20), 4035-4046 (2003), http://dx.doi.org/10.1080/0143116031000103853.
56. P. Sinha, L. Kumar, and N. Reid, "Seasonal variation in land-cover classification accuracy in a diverse region," Photogramm. Eng. Rem. Sens. 78(3), 271-280 (2012
57. G. Morgan and J. Terrey, Nature Conservation in Western New South Wale National Parks Association, Sydney (1992).