An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks

Remote Sensing of Environment

Volumn 114, Issue 1, 2010, Pages 183-198

  Huang, Chengquan ^a   Goward, Samuel N ^a   Masek, Jeffrey G ^b   Thomas, Nancy ^a   Zhu, Zhiliang ^c   Vogelmann, James E ^d  

^a UNIVERSITY OF MARYLAND   (United States)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

^c U S GEOLOGICAL SURVEY   (United States)

^d EARTH RESOURCES OBSERVATION AND SCIENCE EROS CENTER   (United States)

Author keywords

Forest z score (FZ); Integrated forest z score (IFZ); Landsat time series stacks (LTSS); Vegetation change tracker (VCT)

Indexed keywords

ACCURACY ASSESSMENT; AUTOMATED ALGORITHMS; AUTOMATED APPROACH; CANOPY COVER; DISTURBANCE PATTERNS; FALSE ALARMS; FIELD ASSESSMENT; FINE TUNING; FOREST CHANGE; FOREST DISTURBANCES; FOREST Z-SCORE (FZ); INTEGRATED FOREST Z-SCORE (IFZ); LAND COVER; LANDSAT; LANDSAT IMAGERY; LANDSAT IMAGES; LANDSAT TIME SERIES STACKS (LTSS); LOW LEVEL; SELECTIVE LOGGING; TEMPORAL INTERVALS; TEMPORAL PROPERTY; URBAN DEVELOPMENT; VEGETATION CHANGE; VEGETATION CHANGE TRACKER (VCT);

FORESTRY; VEGETATION;

TIME SERIES;

ALGORITHM; AUTOMATION; FOREST CANOPY; FOREST COVER; FOREST ECOSYSTEM; LANDSAT; LOGGING (TIMBER); SATELLITE IMAGERY; THINNING; TIME SERIES;

FORESTRY; IMAGE ANALYSIS; PLANTS; SATELLITES;

NORTH AMERICA; UNITED STATES;

EID: 70350050130     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2009.08.017     Document Type: Article

References (67)

1. Ackerman S.A., Moeller C.C., Gumley L.E., Strabala K.I., Menzel W.P., and Frey R.A. Discriminating clear sky from clouds with MODIS. Journal of Geophysical Research D: Atmospheres 103 (1998) 32,141-32,157
2. Arvidson T., Gasch J., and Goward S.N. Landsat 7's long-term acquisition plan-An innovative approach to building a global imagery archive. Remote Sensing of Environment 78 (2001) 13-26
3. Arvidson T., Goward S., Gasch J., and Williams D. Landsat-7 long-term acquisition plan: Development and validation. Photogrammetric Engineering and Remote Sensing 72 (2006) 1137-1146
4. Chander G., Helder D.L., Markham B.L., Dewald J.D., Kaita E., Thome K.J., Micijevic E., and Ruggles T.A. Landsat-5 TM reflective-band absolute radiometric calibration. IEEE Transactions on Geoscience and Remote Sensing 42 (2004) 2747-2760
5. Chander G., and Markham B. Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges. IEEE Transactions on Geoscience and Remote Sensing 41 (2003) 2674-2677
6. Chavez P.S. Image-based atmospheric corrections-Revisited and improved. Photogrammetric Engineering & Remote Sensing 62 (1996) 1025-1036
7. Chen X., Zhu Z., Ohlen D., Huang C., and Shi H. Use of multiple spectral indices to estimate burn severity in the Black Hills of South Dakota. Pecora 17-The future of land imaging ... going operational. November 18-20, 2008, Denver, Colorado (2008)
8. Cohen W.B., Fiorella M., Bray J., Helmer E., and Anderson K. An efficient and accurate method for mapping forest clearcuts in the Pacific Northwest using Landsat imagery. Photogrammetric Engineering & Remote Sensing 64 (1998) 293-300
9. Cohen W.B., Maiersperger T.K., Fiorella M., Spies T.A., Alig R.J., and Oetter D.R. Characterizing 23 years (1972-95) of stand replacement disturbance in western Oregon forests with Landsat imagery. Ecosystems 5 (2002) 122-137
10. Colwell J.E. Vegetation canopy reflectance. Remote Sensing of Environment 3 (1974) 174-183
11. Congalton R. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 37 (1991) 35-46
12. Congalton R.G., and Mead R.A. A quantitative method to test for consistency and correctness in photo interpretation. Photogrammetric Engineering & Remote Sensing 49 (1983) 69-74
13. Coppin P., and Bauer M. Digital change detection in forested ecosystems with remote sensing imagery. Remote Sensing Reviews 13 (1996) 234-237
14. Coppin P., Lambin E., Jonckheere I., Nackaerts K., and Muys B. Digital change detection methods in ecosystem monitoring: A review. International Journal of Remote Sensing 25 (2004) 1565-1596
15. Crist E.P., and Cicone R.C. A physically-based transformation of Thematic Mapper data -The TM Tasseled Cap. IEEE Trans. on Geosciences and Remote Sensing GE-22 (1984) 256-263
16. Davis J.C. Statistics and data analysis in geology (1986), John Wiley & Sons, Inc, New York 646
17. Dodge A., and Bryant E. Forest type mapping with satellite data. Journal of Forestry 74 (1976) 23-40
18. Escuin S., Navarro R., and Fernandez P. Fire severity assessment by using NBR (Normalized Burn Ratio) and NDVI (Normalized Difference Vegetation Index) derived from LANDSAT TM/ETM images. International Journal of Remote Sensing 29 (2008) 1053-1073
19. Gao F., Masek J., and Wolfe R. An automated registration and orthorectification package for Landsat and Landsat-like data processing. Journal of Applied Remote Sensing 3 (2009) 033515 10.1117/1.3104620
20. Goward S., Irons J., Franks S., Arvidson T., Williams D., and Faundeen J. Historical record of Landsat global coverage: Mission operations, NSLRSDA, and international cooperator stations. Photogrammetric Engineering and Remote Sensing 72 (2006) 1155-1169
21. Goward S.N., Huemmrich K.F., and Waring R.H. Visible-near infrared spectral reflectance of landscape components in western Oregon. Remote Sensing of Environment 47 (1994) 190-203
22. 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., and Wulder M. Forest disturbance and North American carbon flux. EOS Transactions, American Geophysical Union 89 (2008) 105-106
23. Goward S.N., and Williams D.L. Landsat and earth systems science: Development of terrestrial monitoring. Photogrammetric Engineering & Remote Sensing 63 (1997) 887-900
24. Healey S.P., Cohen W.B., Zhiqiang Y., and Krankina O.N. Comparison of tasseled cap-based Landsat data structures for use in forest disturbance detection. Remote Sensing of Environment 97 (2005) 301
25. Hirsch A.I., Little W.S., Houghton R.A., Scott N.A., and White J.D. The net carbon flux due to deforestation and forest re-growth in the Brazilian Amazon: Analysis using a process-based model. Global Change Biology 10 (2004) 908-924
26. Houghton R.A. Why are estimates of the terrestrial carbon balance so different?. Global Change Biology 9 (2003) 500-509
27. 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., and Townshend J.R.G. Development of time series stacks of Landsat images for reconstructing forest disturbance history. International Journal of Digital Earth 2 (2009) 195-218
28. Huang C., Goward S.N., Schleeweis K., Thomas N., Masek J.G., and Zhu Z. Dynamics of national forests assessed using the Landsat record: Case studies in eastern U.S. Remote Sensing of Environment 113 (2009) 1430-1442
29. Huang C., Song K., Kim S., Townshend J.R.G., Davis P., Masek J., and Goward S.N. Use of a dark object concept and support vector machines to automate forest cover change analysis. Remote Sensing of Environment 112 (2008) 970-985
30. Huang, C., Thomas, N., Goward, S.N., Masek, J., Zhu, Z., Townshend, J.R.G. & Vogelmann, J.E. (in press). Automated masking of cloud and cloud shadow for forest change analysis. International Journal of Remote Sensing.
31. Huang C., Wylie B., Homer C., Yang L., and Zylstra G. Derivation of a tasseled cap transformation based on Landsat 7 at-satellite reflectance. International Journal of Remote Sensing 23 (2002) 1741-1748
32. Huemmrich K.F., and Goward S.N. Vegetation canopy PAR absorptance and NDVI: An assessment for ten tree species with the SAIL model. Remote Sensing of Environment 61 (1997) 254-269
33. Hutchison K.D., Roskovensky J.K., Jackson J.M., Heidinger A.K., Kopp T.J., Pavolonis M.J., and Frey R. Automated cloud detection and classification of data collected by the Visible Infrared Imager Radiometer Suite (VIIRS). International Journal of Remote Sensing 26 (2005) 4681-4706
34. Irish R.R. Landsat 7 automatic cloud cover assessment. Proceedings of SPIE: Algorithms for multispectral, hyperspectral, and ultraspectral imagery VI. April 24-26, 2000, Orlando, U.S.A (2000) 348-355
35. Irish R.R., Barker J.L., Goward S.N., and Arvidson T. Characterization of the landsat-7 ETM + automated cloud-cover assessment (ACCA) algorithm. Photogrammetric Engineering and Remote Sensing 72 (2006) 1179-1188
36. Janssen L.L.F., and Wel F. Accuracy assessment of satellite derived land cover data: a review. IEEE Photogrammetric Engineering & Remote Sensing 60 (1994) 419-426
37. Jensen J.R. Introductory digital image processing: A remote sensing perspective (1996), Prentice-Hall, Englewood Cliffs, New Jersey 379
38. Kauth R.J., and Thomas G.S. The tasseled cap-A graphic description of the spectral-temporal development of agricultural crops as seen in Landsat. Proceedings on the Symposium on Machine Processing of Remotely Sensed Data. June 29 -- July 1, 1976, West Lafayette, Indiana (1976) 41-51
39. Kennedy R.E., Cohen W.B., and Schroeder T.A. Trajectory-based change detection for automated characterization of forest disturbance dynamics. Remote Sensing of Environment 110 (2007) 370-386
40. Kramer H.J. Observation of the earth and its environment: Survey of missions and sensors (2002), Springer, Berlin 1510
41. Law B.E., Van Tuyl S., Ritts W.D., Cohen W.B., Turner D., Campbell J., and Sun O.J. Disturbance and climate effects on carbon stocks and fluxes across Western Oregon USA. Global Change Biology 10 (2004) 1429-1444
42. Li M., Huang C., Zhu Z., Shi H., Lu H., and Peng S. Assessing rates of forest change and fragmentation in Alabama, USA, using the vegetation change tracker model. Forest Ecology & Management 257 (2009) 1480-1488
43. Li, M., Huang, C., Zhu, Z., Shi, H., Lu, H. & Peng, S. (in press). Use of remote sensing coupled with a vegetation change tracker model to assess rates of forest change and fragmentation in Mississippi, USA. International Journal of Remote Sensing.
44. Liu S., Loveland T.R., and Kurtz R.M. Contemporary carbon dynamics in terrestrial ecosystems in the Southeastern Plains of the United States. Environmental Management 33 (2004) S442-S456
45. Lu D., Mausel P., Brondízio E., and Moran E. Change detection techniques. International Journal of Remote Sensing 25 (2004) 2365-2407
46. Lunetta R.S., Johnson D.M., Lyon J.G., and Crotwell J. Impacts of imagery temporal frequency on land-cover change detection monitoring. Remote Sensing of Environment 89 (2004) 444-454
47. Luo Y., Trishchenko A.P., and Khlopenkov K.V. Developing clear-sky, cloud and cloud shadow mask for producing clear-sky composites at 250-meter spatial resolution for the seven MODIS land bands over Canada and North America. Remote Sensing of Environment 112 (2008) 4167-4185
48. Markham B.L., and Barker J.L. Landsat MSS and TM post-calibration dynamic ranges, exoatmospheric reflectances and at-satellite temperatures. EOSAT Landsat Technical Notes 1 (1986) 3-8
49. Markham B.L., Storey J.C., Williams D.L., and Irons J.R. Landsat sensor performance: History and current status. Geoscience and Remote Sensing, IEEE Transactions on 42 (2004) 2691-2694
50. Masek J.G., Huang C., Cohen W., Kutler J., Hall F., and Wolfe R.E. Mapping North American forest disturbance from a decadal Landsat record: Methodology and initial results. Remote Sensing of Environment 112 (2008) 2914-2926
51. Pacala S.W., Hurtt G.C., Baker D., Peylin P., Houghton R.A., Birdsey R.A., Heath L., Sundquist E.T., Stallard R.F., Ciais P., Moorcroft P., Caspersen J.P., Shevliakova E., Moore B., Kohlmaier G., Holland E., Gloor M., Harmon M.E., Fan S.M., Sarmiento J.L., Goodale C.L., Schimel D., and Field C.B. Consistent land- and atmosphere-based U.S. carbon sink estimates. Science 292 (2001) 2316-2320
52. Peterken G.F. Structural dynamics of forest stands and natural processes. In: Evans J. (Ed). The forest handbook Vol 1 (2001), Blackwell Science, Malden, MA 83-104
53. Rollins M.G. LANDFIRE: A nationally consistent vegetation, wildland fire, and fuel assessment. International Journal of Wildland Fire 18 (2009) 235-249
54. Schimel D.S., and Braswell B.H. Continental scale variability in ecosystem processes: Models, data, and the role of disturbance. Ecological Monographs 67 (1997) 251-271
55. Simpson J.J., and Gobat J.I. Improved cloud detection for daytime AVHRR scenes over land. Remote Sensing of Environment 55 (1996) 21-49
56. Singh A. Digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing 10 (1989) 989-1003
57. Skole D.L., Salas W.A., and Taylor V. Global observation of forest cover: Fine resolution data and product design strategy, report of a workshop (1998), CNES, Paris, France
58. Smithson P., Addison K., and Atkinson K. Fundamentals of the physical environment (2008), Routledge, London 776
59. Stehman S.V., and Czaplewski R.L. Design and analysis for thematic map accuracy assessment: Fundamental principles. Remote Sensing of Environment 64 (1998) 331-344
60. Stehman S.V., Wickham J.D., Smith J.H., and 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 86 (2003) 500-516
61. Stowe L.L., Davis P.A., and McClain E.P. Scientific basis and initial evaluation of the CLAVR-1 global clear/cloud classification algorithm for the advanced very high resolution radiometer. Journal of Atmospheric and Oceanic Technology 16 (1999) 656-681
62. Thomas, N., Huang, C., Goward, S.N., Powell, S., Rishmawi, K., Schleeweis, K. & Hinds, A. (In preparation). Assessment of NAFD forest change products derived from Landsat Time Series Stacks (LTSS).
63. Thornton P.E., Clark K.L., Falge E., Ellsworth D.S., Goldstein A.H., Monson R.K., Hollinger D., Falk M., Chen J., Sparks J.P., Law B.E., and Gholz H.L. Modeling and measuring the effects of disturbance history and climate on carbon and water budgets in evergreen needleleaf forests. Agricultural and Forest Meteorology 113 (2002) 185-222
64. Townshend J.R., Justice C.O., Skole D.L., Belward A., Janetos A., Gunawan I., Goldammer J.G., and Lee B. Meeting the goals of GOFC. In: Gutman G., Janetos A.C., Justice C.O., Moran E.F., Mustard J.F., Rindfuss R.R., Skole D., Turner II B.L., and Cochrane M.A. (Eds). Land Change Science (2004), Kluwer Academic Publishers, Dordrecht 31-51
65. Townshend J.R.G., and Justice C.O. Selecting the spatial resolution of satellite sensors required for global monitoring of land transformations. International Journal of Remote Sensing 9 (1988) 187-236
66. Townshend J.R.G., Justice C.O., and McManus J. The impact of misregistration on change detection. IEEE Transactions on Geoscience and Remote Sensing 30 (1992) 1054-1060
67. Vermote E.F., Tanre D., Deuze J.L., Herman M., and Morcrette J.J. Second simulation of the satellite signal in the solar spectrum, 6S: An overview. IEEE Transactions on Geoscience and Remote Sensing 35 (1997) 675-686