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Volumn 12, Issue 8, 2015, Pages 1650-1654

Use of vegetation change tracker and support vector machine to map disturbance types in greater yellowstone ecosystems in a 1984-2010 landsat time series

Author keywords

Disturbance type mapping; Greater Yellowstone Ecosystem (GYE); Landsat time series; support vector machine (SVM); vegetation change tracker (VCT)

Indexed keywords

ALGORITHMS; ECOLOGY; FIRES; FORESTRY; HARVESTING; SUPPORT VECTOR MACHINES; TIME SERIES; VEGETATION;

EID: 85027949249     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2015.2418159     Document Type: Article
Times cited : (45)

References (34)
  • 1
    • 0000835022 scopus 로고
    • Revegetation following forest cutting: Mechanisms for return to steady-state nutrient cycling
    • May
    • P. Marks and F. Bormann, "Revegetation following forest cutting: Mechanisms for return to steady-state nutrient cycling," Science, vol. 176, no. 4037, pp. 914-915, May 1972.
    • (1972) Science , vol.176 , Issue.4037 , pp. 914-915
    • Marks, P.1    Bormann, F.2
  • 2
    • 80755167699 scopus 로고    scopus 로고
    • Simulating the impacts of disturbances on forest carbon cycling in North America: Processes, data, models, and challenges
    • Nov. 8
    • S. Liu et al., "Simulating the impacts of disturbances on forest carbon cycling in North America: Processes, data, models, and challenges," J. Geophys. Res.-Biogeosci., vol. 116, no. G4, pp. 1-22, Nov. 8, 2011.
    • (2011) J. Geophys. Res.-Biogeosci. , vol.116 , Issue.G4 , pp. 1-22
    • Liu, S.1
  • 3
    • 77957740234 scopus 로고    scopus 로고
    • Disturbance and landscape dynamics in a changing world 1
    • M. G. Turner, "Disturbance and landscape dynamics in a changing world 1," Ecology, vol. 91, pp. 2833-2849, 2010.
    • (2010) Ecology , vol.91 , pp. 2833-2849
    • Turner, M.G.1
  • 4
    • 70350050130 scopus 로고    scopus 로고
    • An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks
    • Jan.
    • C. Huang et al., "An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks," Remote Sens. Environ., vol. 114, no. 1, pp. 183-198, Jan. 2010.
    • (2010) Remote Sens. Environ. , vol.114 , Issue.1 , pp. 183-198
    • Huang, C.1
  • 5
    • 77956882349 scopus 로고    scopus 로고
    • Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr-Temporal segmentation algorithms
    • Dec.
    • R. E. Kennedy, Z. Yang, andW. B. Cohen, "Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr-Temporal segmentation algorithms," Remote Sens. Environ., vol. 114, no. 12, pp. 2897-2910, Dec. 2010.
    • (2010) Remote Sens. Environ. , vol.114 , Issue.12 , pp. 2897-2910
    • Kennedy, R.E.1    Yang, Z.2    Cohen, W.B.3
  • 6
    • 79953176953 scopus 로고    scopus 로고
    • Mapping wildfire and clearcut harvest disturbances in boreal forests with Landsat time series data
    • Jun.
    • T. A. Schroeder,M. A.Wulder, S. P. Healey, and G. G.Moisen, "Mapping wildfire and clearcut harvest disturbances in boreal forests with Landsat time series data," Remote Sens. Environ., vol. 115, no. 6, pp. 1421-1433, Jun. 2011.
    • (2011) Remote Sens. Environ. , vol.115 , Issue.6 , pp. 1421-1433
    • Schroeder, T.A.1    Wulder, M.A.2    Healey, S.P.3    Moisen, G.G.4
  • 7
    • 84155176808 scopus 로고    scopus 로고
    • Reconstructing disturbance history using satellite-based assessment of the distribution of land cover in the Russian Far East
    • Mar.
    • T. Loboda et al., "Reconstructing disturbance history using satellite-based assessment of the distribution of land cover in the Russian Far East," Remote Sens. Environ., vol. 118, pp. 241-248, Mar. 2012.
    • (2012) Remote Sens. Environ. , vol.118 , pp. 241-248
    • Loboda, T.1
  • 8
    • 84898062309 scopus 로고    scopus 로고
    • An automated approach to map the history of forest disturbance from insect mortality and harvest with Landsat time-series data
    • C. S. Neigh, D. K. Bolton, M. Diabate, J. J. Williams, and N. Carvalhais, "An automated approach to map the history of forest disturbance from insect mortality and harvest with Landsat time-series data," Remote Sens., vol. 6, no. 4, pp. 2782-2808, 2014.
    • (2014) Remote Sens. , vol.6 , Issue.4 , pp. 2782-2808
    • Neigh, C.S.1    Bolton, D.K.2    Diabate, M.3    Williams, J.J.4    Carvalhais, N.5
  • 9
    • 0037138473 scopus 로고    scopus 로고
    • An assessment of support vector machines for land cover classification
    • C. Huang, L. Davis, and J. Townshend, "An assessment of support vector machines for land cover classification," Int. J. Remote Sens., vol. 23, no. 4, pp. 725-749, 2002.
    • (2002) Int. J. Remote Sens. , vol.23 , Issue.4 , pp. 725-749
    • Huang, C.1    Davis, L.2    Townshend, J.3
  • 10
    • 13644256120 scopus 로고    scopus 로고
    • Support vector machines for classification in remote sensing
    • M. Pal and P. Mather, "Support vector machines for classification in remote sensing," Int. J. Remote Sens., vol. 26, pp. 1007-1011, 2005.
    • (2005) Int. J. Remote Sens. , vol.26 , pp. 1007-1011
    • Pal, M.1    Mather, P.2
  • 11
    • 71549131289 scopus 로고    scopus 로고
    • Landscape-scale patterns of forest pest and pathogen damage in the Greater Yellowstone Ecosystem
    • J. A. Hatala, R. L. Crabtree, K. Q. Halligan, and P. R. Moorcroft, "Landscape-scale patterns of forest pest and pathogen damage in the Greater Yellowstone Ecosystem," Remote Sens. Environ., vol. 114, no. 2, pp. 375-384, 2010.
    • (2010) Remote Sens. Environ. , vol.114 , Issue.2 , pp. 375-384
    • Hatala, J.A.1    Crabtree, R.L.2    Halligan, K.Q.3    Moorcroft, P.R.4
  • 12
    • 0346342964 scopus 로고    scopus 로고
    • Land use and land cover change in the Greater Yellowstone Ecosystem: 1975-1995
    • Jun.
    • A. W. Parmenter et al., "Land use and land cover change in the Greater Yellowstone Ecosystem: 1975-1995," Ecol. Appl., vol. 13, no. 3, pp. 687-703, Jun. 2003.
    • (2003) Ecol. Appl. , vol.13 , Issue.3 , pp. 687-703
    • Parmenter, A.W.1
  • 13
    • 33751546791 scopus 로고    scopus 로고
    • Surprises and lessons from the 1988 Yellowstone fires
    • M. G. Turner, W. H. Romme, and D. B. Tinker, "Surprises and lessons from the 1988 Yellowstone fires," Frontiers Ecol. Environ., vol. 1, no. 7, pp. 351-358, 2003.
    • (2003) Frontiers Ecol. Environ. , vol.1 , Issue.7 , pp. 351-358
    • Turner, M.G.1    Romme, W.H.2    Tinker, D.B.3
  • 14
    • 67349151070 scopus 로고    scopus 로고
    • Dynamics of national forests assessed using the Landsat record: Case studies in eastern United States
    • Jul.
    • C. Huang et al., "Dynamics of national forests assessed using the Landsat record: Case studies in eastern United States," Remote Sens. Environ., vol. 113, no. 7, pp. 1430-1442, Jul. 2009.
    • (2009) Remote Sens. Environ. , vol.113 , Issue.7 , pp. 1430-1442
    • Huang, C.1
  • 15
    • 59949099213 scopus 로고    scopus 로고
    • Assessing rates of forest change and fragmentation in Alabama, USA, using the vegetation change tracker model
    • Mar.
    • M. Li et al., "Assessing rates of forest change and fragmentation in Alabama, USA, using the vegetation change tracker model," Forest Ecol. Manage., vol. 257, no. 6, pp. 1480-1488, Mar. 2009.
    • (2009) Forest Ecol. Manage. , vol.257 , Issue.6 , pp. 1480-1488
    • Li, M.1
  • 16
    • 77449087792 scopus 로고    scopus 로고
    • Use of remote sensing coupled with a vegetation change tracker model to assess rates of forest change and fragmentation in Mississippi, USA
    • M. Li et al., "Use of remote sensing coupled with a vegetation change tracker model to assess rates of forest change and fragmentation in Mississippi, USA," Int. J. Remote Sens., vol. 30, no. 24, pp. 6559-6574, 2009.
    • (2009) Int. J. Remote Sens. , vol.30 , Issue.24 , pp. 6559-6574
    • Li, M.1
  • 17
    • 84881554220 scopus 로고    scopus 로고
    • United States forest disturbance trends observed using Landsat time series
    • Sep. 1
    • J. Masek et al., "United States forest disturbance trends observed using Landsat time series," Ecosystems, vol. 16, no. 6, pp. 1087-1104, Sep. 1, 2013.
    • (2013) Ecosystems , vol.16 , Issue.6 , pp. 1087-1104
    • Masek, J.1
  • 19
    • 84856432755 scopus 로고    scopus 로고
    • Yellowstone bioregional assessment: Understanding the ecology and land use of Greater Yellowstone
    • Bozeman, MT, USA, Tech. Rep.
    • A. Hansen, "Yellowstone bioregional assessment: Understanding the ecology and land use of Greater Yellowstone," Montana State Univ., Bozeman, MT, USA, Tech. Rep. 2006.
    • (2006) Montana State Univ.
    • Hansen, A.1
  • 20
    • 31144469238 scopus 로고    scopus 로고
    • A Landsat surface reflectance data set for North America, 1990-2000
    • Jan.
    • J. G. Masek et al., "A Landsat surface reflectance data set for North America, 1990-2000," IEEE Geosci. Remote Sens. Lett., vol. 3, no. 1, pp. 68-72, Jan. 2006.
    • (2006) IEEE Geosci. Remote Sens. Lett. , vol.3 , Issue.1 , pp. 68-72
    • Masek, J.G.1
  • 21
    • 39749188900 scopus 로고    scopus 로고
    • Use of a dark object concept and support vector machines to automate forest cover change analysis
    • Mar.
    • C. Huang et al., "Use of a dark object concept and support vector machines to automate forest cover change analysis," Remote Sens. Environ., vol. 112, no. 3, pp. 970-985, Mar. 2008.
    • (2008) Remote Sens. Environ. , vol.112 , Issue.3 , pp. 970-985
    • Huang, C.1
  • 22
    • 77956872756 scopus 로고    scopus 로고
    • Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync-Tools for calibration and validation
    • Dec.
    • W. B. Cohen, Z. Yang, and R. Kennedy, "Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync-Tools for calibration and validation," Remote Sens. Environ., vol. 114, no. 12, pp. 2911-2924, Dec. 2010.
    • (2010) Remote Sens. Environ. , vol.114 , Issue.12 , pp. 2911-2924
    • Cohen, W.B.1    Yang, Z.2    Kennedy, R.3
  • 23
    • 79955702502 scopus 로고    scopus 로고
    • LIBSVM: A library for support vector machines
    • Apr.
    • C.-C. Chang and C.-J. Lin, "LIBSVM: A library for support vector machines," Proc. ACM Trans. Intell. Syst. Technol., vol. 2, no. 3, p. 27, Apr. 2011.
    • (2011) Proc. ACM Trans. Intell. Syst. Technol. , vol.2 , Issue.3 , pp. 27
    • Chang, C.-C.1    Lin, C.-J.2
  • 25
    • 85028201357 scopus 로고    scopus 로고
    • Evaluate sensitivities of burn-severity mapping algorithms for different ecosystems and fire histories in the United States. Final report to the joint fire science program
    • Sioux Falls, SD
    • Z. Zhu, C. C. Key, D. Ohlen, and N. Benson, "Evaluate sensitivities of burn-severity mapping algorithms for different ecosystems and fire histories in the United States. Final report to the joint fire science program," USGS, Nat. Center Earth Resources Observ. Sci., Sioux Falls, SD, 2006.
    • (2006) USGS, Nat. Center Earth Resources Observ. Sci.
    • Zhu, Z.1    Key, C.C.2    Ohlen, D.3    Benson, N.4
  • 26
    • 41549107697 scopus 로고    scopus 로고
    • Project for monitoring trends in burn severity
    • J. Eidenshink et al., "Project for monitoring trends in burn severity," Fire Ecol., vol. 3, no. 1, pp. 3-21, 2007.
    • (2007) Fire Ecol. , vol.3 , Issue.1 , pp. 3-21
    • Eidenshink, J.1
  • 27
    • 84865431524 scopus 로고    scopus 로고
    • Spatial and temporal patterns of forest disturbance and regrowth within the area of the northwest forest plan
    • Jul.
    • R. E. Kennedy et al., "Spatial and temporal patterns of forest disturbance and regrowth within the area of the northwest forest plan," Remote Sens. Environ., vol. 122, pp. 117-133, Jul. 2012.
    • (2012) Remote Sens. Environ. , vol.122 , pp. 117-133
    • Kennedy, R.E.1
  • 28
    • 77958087598 scopus 로고    scopus 로고
    • Validation of North American forest disturbance dynamics derived from Landsat time series stacks
    • Jan.
    • N. E. Thomas et al., "Validation of North American forest disturbance dynamics derived from Landsat time series stacks," Remote Sens. Environ., vol. 115, no. 1, pp. 19-32, Jan. 2011.
    • (2011) Remote Sens. Environ. , vol.115 , Issue.1 , pp. 19-32
    • Thomas, N.E.1
  • 29
    • 0034023040 scopus 로고    scopus 로고
    • Practical implications of design-based sampling inference for thematic map accuracy assessment
    • Apr.
    • S. V. Stehman, "Practical implications of design-based sampling inference for thematic map accuracy assessment," Remote Sens. Environ., vol. 72, no. 1, pp. 35-45, Apr. 2000.
    • (2000) Remote Sens. Environ. , vol.72 , Issue.1 , pp. 35-45
    • Stehman, S.V.1
  • 30
    • 0141457417 scopus 로고    scopus 로고
    • Thematic accuracy of the 1992 national land-cover data for the eastern United States: Statistical methodology and regional results
    • Aug. 30
    • S. V. Stehman, J. D. Wickham, J. H. Smith, and L. Yang, "Thematic accuracy of the 1992 national land-cover data for the eastern United States: Statistical methodology and regional results," Remote Sens. Environ., vol. 86, no. 4, pp. 500-516, Aug. 30, 2003.
    • (2003) Remote Sens. Environ. , vol.86 , Issue.4 , pp. 500-516
    • Stehman, S.V.1    Wickham, J.D.2    Smith, J.H.3    Yang, L.4
  • 31
    • 84897951081 scopus 로고    scopus 로고
    • Good practices for estimating area and assessing accuracy of land change
    • May
    • P. Olofsson et al., "Good practices for estimating area and assessing accuracy of land change," Remote Sens. Environ., vol. 148, pp. 42-57, May 2014.
    • (2014) Remote Sens. Environ. , vol.148 , pp. 42-57
    • Olofsson, P.1
  • 32
    • 84870202759 scopus 로고    scopus 로고
    • Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation
    • Feb.
    • P. Olofsson, G. M. Foody, S. V. Stehman, and C. E. Woodcock, "Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation," Remote Sens. Environ., vol. 129, pp. 122-131, Feb. 2013.
    • (2013) Remote Sens. Environ. , vol.129 , pp. 122-131
    • Olofsson, P.1    Foody, G.M.2    Stehman, S.V.3    Woodcock, C.E.4
  • 33
    • 79956324768 scopus 로고    scopus 로고
    • Death to Kappa: Birth of quantity disagreement and allocation disagreement for accuracy assessment
    • R. G. Pontius Jr and M. Millones, "Death to Kappa: Birth of quantity disagreement and allocation disagreement for accuracy assessment," Int. J. Remote Sens., vol. 32, no. 15, pp. 4407-4429, 2011.
    • (2011) Int. J. Remote Sens. , vol.32 , Issue.15 , pp. 4407-4429
    • Pontius, R.G.1    Millones, M.2
  • 34
    • 77953160102 scopus 로고    scopus 로고
    • Whitebark pine vulnerability to climate-driven mountain pine beetle disturbance in the Greater Yellowstone Ecosystem
    • Jun.
    • J. A. Logan, W. W. Macfarlane, and L. Willcox, "Whitebark pine vulnerability to climate-driven mountain pine beetle disturbance in the Greater Yellowstone Ecosystem," Ecol. Appl., vol. 20, no. 4, pp. 895-902, Jun. 2010.
    • (2010) Ecol. Appl. , vol.20 , Issue.4 , pp. 895-902
    • Logan, J.A.1    Macfarlane, W.W.2    Willcox, L.3


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