Validation of North American Forest Disturbance dynamics derived from Landsat time series stacks

Remote Sensing of Environment

Volumn 115, Issue 1, 2011, Pages 19-32

  Thomas, Nancy E ^a   Huang, Chengquan ^a   Goward, Samuel N ^a   Powell, Scott ^b   Rishmawi, Khaldoun ^a   Schleeweis, Karen ^a   Hinds, Adrienne ^a  

^a UNIVERSITY OF MARYLAND   (United States)

^b MONTANA STATE UNIVERSITY   (United States)

Author keywords

Accuracy assessment; Forest disturbance; Landsat time series stacks (LTSS); North American Forest Disturbance (NAFD); Time series; Vegetation change tracker (VCT)

Indexed keywords

ACCURACY ASSESSMENT; FOREST DISTURBANCES; LANDSAT; NORTH AMERICAN; VEGETATION CHANGE TRACKER (VCT);

DATA PROCESSING; FORESTRY; TIME SERIES; VEGETATION;

TIME SERIES ANALYSIS;

ACCURACY ASSESSMENT; CARBON; DATA SET; ENVIRONMENTAL DISTURBANCE; ERROR ANALYSIS; FOREST ECOSYSTEM; FOREST INVENTORY; IMAGERY; LANDSAT; MAPPING METHOD; RESOLUTION; TIME SERIES; VISUAL ANALYSIS;

DATA PROCESSING; FORESTRY; MAPPING; NORTH AMERICA; PLANNING; PLANTS; SATELLITES; TIME SERIES ANALYSIS;

NORTH AMERICA;

EID: 77958087598     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2010.07.009     Document Type: Article

References (33)

1. Bechtold W.A., Patterson P.L. The enhanced forest inventory and analysis program - National sampling design and estimation procedures 2005, U.S. Department of Agriculture, Forest Service, Southern Research Station, Asheville, NC.
2. The first State of the Carbon Cycle Report (SOCCR): The North American carbon budget and implications for the global carbon cycle. A report by the U.S. Climate Change Science Program and the Subcommittee on Global Change Research 2007, Climate Change Science Program, National Oceanic and Atmospheric Administration, National Climatic Data Center, Asheville, NC, USA, 242 pp. A.W. King, L. Dilling, G.P. Zimmerman, D.M. Fairman, R.A. Houghton, G. Marland, A.Z. Rose, T.J. Wilbanks (Eds.).
3. Cochran W.G. Sampling techniques 1977, Wiley, New York.
4. Cohen W.B., Fiorella M., Gray J., Helmer E.H., Anderson K. An efficient and accurate method for mapping forest clear-cuts in the Pacific Northwest using Landsat imagery. Photogrammetric Engineering and Remote Sensing 1998, 64:293-300.
5. Congalton R. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 1991, 37:35-46.
6. Congalton R.G., Green K. Assessing the accuracy of remotely sensed data: Principles and practices 1999, Lewis Publishers, Boca Raton, (2004).
7. Foreman E.K. Survey sampling principles 1991, Marcel Dekker, Inc, New York.
8. Gao F., Masek J., Wolfe R. An automated registration and orthorectification package for Landsat and Landsat-like data processing. Journal of Applied Remote Sensing 2009, 3:033515.
9. Goward S.N., Masek J.G., Cohen W., Moisen G., Collatz G.J., Healey S., Houghton R., Huang C., Kennedy R., Law B., Turner D., Powell S., Wulder M. Forest disturbance and North American carbon flux. EOS Transactions, American Geophysical Union 2008, 89:105-106.
10. Huang C., Goward S.N., Masek J.G., Gao F., Vermote E.F., Thomas N., Schleeweis K., Kennedy R.E., Zhu Z., Eidenshink J.C., Townshend J.R.G. Development of time series stacks of Landsat images for reconstructing forest disturbance history. International Journal of Digital Earth 2009, 2:195-218.
11. Huang C., Goward S.N., Schleeweis K., Thomas N., Masek J.G., Zhu Z. Dynamics of national forests assessed using the Landsat record: Case studies in Eastern U.S. Remote Sensing of Environment 2009, 113:1430-1442.
12. Huang C., Goward S.N., Masek J.G., Thomas N., Zhu Z., Vogelmann J.E. An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks. Remote Sensing of Environment 2010, 114:183-198.
13. Huang C., Townshend J.R.G., Liang S., Kalluri S.N.V., DeFries R.S. Impact of sensor's point spread function on land cover characterization: Assessment and deconvolution. Remote Sensing of Environment 2002, 80:203-212.
14. Janssen L.L.F., van der Wel F.J.M. Accuracy assessment of satellite derived land-cover data: A review. Photogrammetric Engineering and Remote Sensing 1994, 67:1067-1075.
15. Kennedy R.E., Cohen W.B., Moisen G.G., Goward S.N., Wulder M., Powell S.L., Masek J.G., Huang C., Healey S.P. A sample design for Landsat-based estimation of national trends in forest disturbance and regrowth. NASA joint workshop on biodiversity, terrestrial ecology, and related applied sciences. August 21-25, 2006, College Park, MD 2006.
16. Kennedy, R. E., Cohen, W. B., Moisen, G. G., Goward, S. N., Wulder, M. A., Powell, S. L., et al. (in preparation). A Landsat-based sampling design for estimating three decades of forest disturbance dynamics in the contiguous United States.
17. Knight J.F., Lunetta R.S. An experimental assessment of minimum mapping unit size. IEEE Transactions on Geoscience and Remote Sensing 2003, 41:2132-2134.
18. Lillesand T.W., Kiefer R.W. Remote sensing and image interpretation 1994, Wiley, New York, pp. 157.
19. Lu D., Mausel P., Brondízio E., Moran E. Change detection techniques. International Journal of Remote Sensing 2004, 25:2365-2407.
20. Lunetta R.S., Johnson D.M., Lyon J.G., Crotwell J. Impacts of imagery temporal frequency on land-cover change detection monitoring. Remote Sensing of Environment 2004, 89:444-454.
21. Masek J.G., Vermote E.F., Saleous N.E., Wolfe R., Hall F.G., Huemmrich K.F., Feng G., Kutler J., Teng-Kui L. A Landsat surface reflectance dataset for North America, 1990-2000. IEEE Geoscience and Remote Sensing Letters 2006, 3:68-72.
22. Masek J.G., Huang C., Cohen W., Kutler J., Hall F., Wolfe R.E. Mapping North American forest disturbance from a decadal Landsat record: Methodology and initial results. Remote Sensing of Environment 2008, 112:2914-2926.
23. Nelson M.D., Healey S.P., Moser W.K., Hansen M.H. Combining satellite imagery with forest inventory data to assess damage severity following a major blowdown event in northern Minnesota, USA. International Journal of Remote Sensing 2009, 30:5089-5108.
24. Richards J.A. Remote sensing digital image analysis: An introduction 1993, Springer-Verlag, Berlin.
25. Smith W.B. Forest inventory and analysis: A national inventory and monitoring program. Environmental Pollution 2002, 116:S233-S242.
26. Stehman S.V. Practical implications of design-based sampling inference for thematic map accuracy assessment. Remote Sensing of Environment 2000, 72:35-45.
27. Stehman S.V., Czaplewski R.L. Design and analysis for thematic map accuracy assessment: Fundamental principles. Remote Sensing of Environment 1998, 64:331-344.
28. Stehman S.V., Wickham J.D., Smith J.H., Yang L. Thematic accuracy of the 1992 National Land-Cover Data for the eastern United States: Statistical methodology and regional results. Remote Sensing of Environment 2003, 86:500-516.
29. Townshend J.R.G., Justice C.O., Gurney C., McManus J. The impact of misregistration on change detection. IEEE Transactions on Geoscience and Remote Sensing 1992, 30:1054-1060.
30. Forest inventory and analysis national core field guide, version 4.0 2007, USDA, United States Department of Agriculture Forest Service.
31. The forest inventory and analysis database: Database description and users' manual version 3.0 for phase 2 2008, USDA, United States Department of Agriculture Forest Service.
32. Vogelmann J.E., Howard S.M., Yang L., Larson C.R., Wylie B.K., Van Driel J.N. Completion of the 1990's National Land Cover Data set for the conterminous United States. Photogrammetric Engineering and Remote Sensing 2001, 67:650-662.
33. Wofsy S.C., Harris R.C. The North American Carbon Program (NACP). Washington D.C.: NACP committee of the US interagency carbon cycle science program, global change research program 2002, 82.