Consistent classification of image time series with automatic adaptive signature generalization

Remote Sensing of Environment

Volumn 134, Issue , 2013, Pages 333-341

  Gray, Josh ^a   Song, Conghe ^a  

^a University of North Carolina at Chapel Hill   (United States)

Author keywords

Classification; Land cover; Landsat; LCLUC; Signature extension

Indexed keywords

ATMOSPHERIC CORRECTIONS; COMPUTATIONAL LIMITATIONS; IRREGULAR TIME SERIES; LAND COVER; LANDSAT; LCLUC; REMOTELY SENSED IMAGES; SIGNATURE EXTENSION;

CLASSIFICATION (OF INFORMATION); IMAGE RECONSTRUCTION; LANDFORMS;

TIME SERIES;

ACCURACY ASSESSMENT; ERROR ANALYSIS; IMAGE CLASSIFICATION; LAND COVER; LANDSAT; PARAMETERIZATION; PIXEL; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY; TIME SERIES;

EID: 84876310398     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2013.03.022     Document Type: Article

References (40)

1. Beven K., Kirkby M. A physically-based, variable contributing area model of basin hydrology. Hydrological Sciences Bulletin 1979, 24.
2. Botkin D., Estes J., MacDonal R., Wilson M. Studying the Earth's vegetation from space. Bioscience 1984, 34:508-514.
3. Chander G., Markham B.L., Helder D.L. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment 2009, 113:893-903.
4. Congalton R.G. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 1991, 37:35-46.
5. Coppin P., Bauer M. Change detection in forest ecosystems with remote sensing digital imagery. Remote Sensing Reviews 1996, 13:207-234.
6. Crews-Meyer K.A. Assessing landscape change and population-environment interactions via panel analysis. Geocarto International 2001, 16:71-82.
7. DeFries R., Foley J., Asner G. Land-use choices: Balancing human needs and ecosystem function. Frontiers in Ecology and the Environment 2004, 2:249-257.
8. Defries R.S., Townshend J.R.G. NDVI-derived land-cover classifications at a global-scale. International Journal of Remote Sensing 1994, 15:3567-3586.
9. Fiorella M., Ripple W.J. Determining successional stage of temperate coniferous forests with Landsat satellite data. Photogrammetric Engineering and Remote Sensing 1993, 59:239-246.
10. Foley J.A., DeFries R., Asner G.P., Barford C., Bonan G., Carpenter S.R. Global consequences of land use. Science 2005, 309:570-574.
11. Foody G.M. Status of land cover classification accuracy assessment. Remote Sensing of Environment 2002, 80:185-201.
12. Fortier J., Rogan J., Woodcock C.E., Runfola D.M. Utilizing temporally invariant calibration sites to classify multiple dates and types of satellite imagery. Photogrammetric Engineering and Remote Sensing 2011, 77:181-189.
13. Franklin S.E., Wulder M.A. Remote sensing methods in medium spatial resolution satellite data land cover classification of large areas. Progress in Physical Geography 2002, 26:173-205.
14. Fraser R.H., Olthof I., Pouliot D. Monitoring land cover change and ecological integrity in Canada's national parks. Remote Sensing of Environment 2009, 113:1397-1409.
15. Friedl M., McIver D., Hodges J., Zhang X., Muchoney D., Strahler A., et al. Global land cover mapping from MODIS: Algorithms and early results. Remote Sensing of Environment 2002, 83:287-302.
16. Gao F., De Colstoun E.B., Ma R., Weng Q., Masek J.G., Chen J., et al. Mapping impervious surface expansion using medium-resolution satellite image time series: A case study in the Yangtze River Delta, China. International Journal of Remote Sensing 2012, 33:7609-7628.
17. Hall F.G., Strebel D.E., Nickeson J.E., Goetz S.J. Radiometric rectification: Toward a common radiometric response among multidate, multisensor images. Remote Sensing of Environment 1991, 35:11-27.
18. Homer C., Huang C.Q., Yang L.M., Wylie B., Coan M. Development of a 2001 national land-cover database for the United States. Photogrammetric Engineering and Remote Sensing 2004, 70:829-840.
19. Jordan C.F. Derivation of leaf-area index from quality of light on forest floor. Ecology 1969, 50:663-667.
20. Kennedy R.E., Yang Z., Cohen W.B. Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. Landtrendr - Temporal segmentation algorithms. Remote Sensing of Environment 2010, 114:2897-2910.
21. Loveland T., Sohl T., Stehman S., Gallant A., Sayler K., Napton D. A strategy for estimating the rates of recent United States land-cover changes. Photogrammetric Engineering and Remote Sensing 2002, 68:1091-1099.
22. Lu D., Mausel P., Brondizio E., Moran E. Change detection techniques. International Journal of Remote Sensing 2004, 25:2365-2407.
23. Mertens B., Lambin E.F. Land-cover-change trajectories in southern Cameroon. Annals of the Association of American Geographers 2000, 90:467-494.
24. Minter T.C. Methods of extending crop signatures from one area to another. NASA Johnson Space Center 1978, 1-2:757-800.
25. Olthof I., Butson C., Fraser R. Signature extension through space for northern landcover classification: A comparison of radiometric correction methods. Remote Sensing of Environment 2005, 95:290-302.
26. Pax-Lenney M., Woodcock C., Macomber S., Gopal S., Song C. Forest mapping with a generalized classifier and Landsat TM data. Remote Sensing of Environment 2001, 77:241-250.
27. Pilon P., Howarth P., Bullock R., Adeniyi P. An enhanced classification approach to change detection in semi-arid environments. Photogrammetric Engineering and Remote Sensing 1988, 54:1709-1716.
28. Ridd M., Liu J. A comparison of four algorithms for change detection in an urban environment. Remote Sensing of Environment 1998, 63:95-100.
29. Rogan J., Franklin J., Stow D., Miller J., Woodcock C., Roberts D. Mapping land-cover modifications over large areas: A comparison of machine learning algorithms. Remote Sensing of Environment 2008, 112:2272-2283.
30. Rouse J.W., Haas R.H., Schell J.A., Deering D.W. Monitoring vegetation systems in the Great Plains with ERTS. Third earth resources technology satellite-1 Symposium-Volume I: Technical presentations 1973, S.C. Freden, E.P. Mercanti, M.A. Becker (Eds.).
31. Sader S. Spatial characteristics of forest clearing and vegetation regrowth as detected by Landsat Thematic Mapper imagery. Photogrammetric Engineering and Remote Sensing 1995, 61:1145-1151.
32. Sexton J.O., Urban D.L., Donohue M.J., Song C. Long-term land cover dynamics by multi-temporal classification across the Landsat-5 record. Remote Sensing of Environment 2013, 128:246-258.
33. Singh A. Digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing 1989, 10:989-1003.
34. Song C., Woodcock C.E., Seto K.C., Lenney M.P., Macomber S.A. Classification and change detection using Landsat TM data: When and how to correct atmospheric effects?. Remote Sensing of Environment 2001, 75:230-244.
35. Stehman S. Estimating the kappa coefficient and its variance under stratified random sampling. Photogrammetric Engineering and Remote Sensing 1996, 62:401-407.
36. Stehman S. Basic probability sampling designs for thematic map accuracy assessment. International Journal of Remote Sensing 1999, 29:2423-2441.
37. Stehman S.V., Wickham J.D. Pixels, blocks of pixels, and polygons: Choosing a spatial unit for thematic accuracy assessment. Remote Sensing of Environment 2011, 115:3044-3055.
38. Townshend J., Justice C., Gurney C., McManus J. The impact of misregistration on change detection. IEEE Transactions on Geoscience and Remote Sensing 1992, 30:1054-1060.
39. Vogelmann J.E., Howard S.M., Yang L.M., Larson C.R., Wylie B.K., Van Driel N. Completion of the 1990s national land cover data set for the conterminous United States from Landsat thematic mapper data and ancillary data sources. Photogrammetric Engineering and Remote Sensing 2001, 67:650-662.
40. Woodcock C.E., Macomber S.A., Pax-Lenney M., Cohen W.B. Monitoring large areas for forest change using Landsat: Generalization across space, time and Landsat sensors. Remote Sensing of Environment 2001, 78:194-203.