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Volumn 27, Issue 4, 2012, Pages 329-345

The potential of spectral mixture analysis to improve the estimation accuracy of tropical forest biomass

Author keywords

above ground biomass; decomposition of mixed components; fraction endmembers; selective logging; spectral mixture analysis

Indexed keywords

ABOVEGROUND BIOMASS; LANDSAT THEMATIC MAPPER; NUMERICAL MODEL; PIXEL; SATELLITE IMAGERY; SELECTIVE LOGGING; SPECTRAL ANALYSIS; TROPICAL FOREST;

EID: 84863615576     PISSN: 10106049     EISSN: None     Source Type: Journal    
DOI: 10.1080/10106049.2011.634928     Document Type: Article
Times cited : (21)

References (51)
  • 1
    • 33751302290 scopus 로고    scopus 로고
    • Remote sensing of landscapes with spectral images
    • UK: Cambridge Univ. Press
    • Adams, J. B. and Gillespie, A. R. 2006. "Remote sensing of landscapes with spectral images". In A physical modeling approach, 362UK: Cambridge Univ. Press.
    • (2006) A physical modeling approach , pp. 362
    • Adams, J.B.1    Gillespie, A.R.2
  • 2
    • 0442282973 scopus 로고    scopus 로고
    • Canopy shadow in IKONOS satellite observations of tropical forests and savannas
    • Asner, G. P. and Warner, A. S. 2003. Canopy shadow in IKONOS satellite observations of tropical forests and savannas. Remote Sensing of Environment, 87: 521-533.
    • (2003) Remote Sensing of Environment , vol.87 , pp. 521-533
    • Asner, G.P.1    Warner, A.S.2
  • 3
    • 62049083812 scopus 로고    scopus 로고
    • Allometric equations for estimating the above-ground biomass in tropical lowland Dipterocarp forests
    • Basuki, T. M. 2009. Allometric equations for estimating the above-ground biomass in tropical lowland Dipterocarp forests. Forest Ecology and Management, 257: 1684-1694.
    • (2009) Forest Ecology and Management , vol.257 , pp. 1684-1694
    • Basuki, T.M.1
  • 5
    • 0033586413 scopus 로고    scopus 로고
    • The relationship between the biomass of Cameroonian tropical forests and radiation reflected in middle infrared wavelengths (3.0-5.0 μm)
    • Boyd, D. S., Foody, G. M. and Curran, P. J. 1999. The relationship between the biomass of Cameroonian tropical forests and radiation reflected in middle infrared wavelengths (3.0-5.0 μm). International Journal of Remote Sensing, 20: 1017-1023.
    • (1999) International Journal of Remote Sensing , vol.20 , pp. 1017-1023
    • Boyd, D.S.1    Foody, G.M.2    Curran, P.J.3
  • 6
    • 0008912416 scopus 로고    scopus 로고
    • Identifying and removing sources of imprecision in polynomial regression
    • Brauner, N. and Shacham, M. 1998. Identifying and removing sources of imprecision in polynomial regression. Mathematics and Computers Simulation, 48: 75-91.
    • (1998) Mathematics and Computers Simulation , vol.48 , pp. 75-91
    • Brauner, N.1    Shacham, M.2
  • 7
    • 0036132037 scopus 로고    scopus 로고
    • Measuring carbon in forests: current status and future challenges
    • Brown, S. 2002. Measuring carbon in forests: current status and future challenges. Environmental Pollution, 116: 363-372.
    • (2002) Environmental Pollution , vol.116 , pp. 363-372
    • Brown, S.1
  • 8
    • 0034655795 scopus 로고    scopus 로고
    • Global continuous fields of vegetation characteristics: a linear mixture model applied to multi-year 8 km AVHRR data
    • DeFries, R. S., Hansen, M. C. and Townshend, J. R.G. 2000. Global continuous fields of vegetation characteristics: a linear mixture model applied to multi-year 8 km AVHRR data. International Journal of Remote Sensing, 21: 1389-1414.
    • (2000) International Journal of Remote Sensing , vol.21 , pp. 1389-1414
    • DeFries, R.S.1    Hansen, M.C.2    Townshend, J.R.G.3
  • 9
    • 0037986221 scopus 로고    scopus 로고
    • Predictive relations of tropical forest biomass from Landsat TM data and their transferability between region
    • Foody, G. M., Boyd, D. S. and Cutler, M. E.J. 2003. Predictive relations of tropical forest biomass from Landsat TM data and their transferability between region. Remote Sensing of Environment, 85: 463-474.
    • (2003) Remote Sensing of Environment , vol.85 , pp. 463-474
    • Foody, G.M.1    Boyd, D.S.2    Cutler, M.E.J.3
  • 10
    • 26444593283 scopus 로고    scopus 로고
    • Relationships between forest structure and vegetation indices in Atlantic rainforest
    • Freitas, S. R., Mello, M. C.S. and Cruz, C. B.M. 2005. Relationships between forest structure and vegetation indices in Atlantic rainforest. Forest Ecology and Management, 218: 353-362.
    • (2005) Forest Ecology and Management , vol.218 , pp. 353-362
    • Freitas, S.R.1    Mello, M.C.S.2    Cruz, C.B.M.3
  • 11
    • 34250856733 scopus 로고    scopus 로고
    • Forest biomass estimation through NDVI-composites. The role of remotely sensed data to assess Spanish forests as carbon sinks
    • González-Alonso, F. 2006. Forest biomass estimation through NDVI-composites. The role of remotely sensed data to assess Spanish forests as carbon sinks. International Journal of Remote Sensing, 27(24): 5409-5415.
    • (2006) International Journal of Remote Sensing , vol.27 , Issue.24 , pp. 5409-5415
    • González-Alonso, F.1
  • 12
    • 10844238130 scopus 로고    scopus 로고
    • Coupling spectral unmixing and trend analysis for monitoring long-term vegetation dynamics in Mediterranean rangelands
    • Hostert, P., Röder, A. and Hill, J. 2003. Coupling spectral unmixing and trend analysis for monitoring long-term vegetation dynamics in Mediterranean rangelands. Remote Sensing of Environment, 87: 183-197.
    • (2003) Remote Sensing of Environment , vol.87 , pp. 183-197
    • Hostert, P.1    Röder, A.2    Hill, J.3
  • 13
    • 0028668157 scopus 로고
    • Development of vegetation and soil indices for MODIS-EOS
    • Huete, A., Justice, C. and Liu, H. 1994. Development of vegetation and soil indices for MODIS-EOS. Remote Sensing of Environment, 49: 224-234.
    • (1994) Remote Sensing of Environment , vol.49 , pp. 224-234
    • Huete, A.1    Justice, C.2    Liu, H.3
  • 14
    • 0030613490 scopus 로고    scopus 로고
    • A comparison of vegetation indices over a global set of TM images for EOS-MODIS
    • Huete, A. R. 1997. A comparison of vegetation indices over a global set of TM images for EOS-MODIS. Remote Sensing of Environment, 59: 440-451.
    • (1997) Remote Sensing of Environment , vol.59 , pp. 440-451
    • Huete, A.R.1
  • 15
    • 0038622775 scopus 로고    scopus 로고
    • Linear mixture model applied to Amazonian vegetation classification
    • Lu, D., Moran, E. and Batistella, M. 2003. Linear mixture model applied to Amazonian vegetation classification. Remote Sensing of Environment, 87: 456-469.
    • (2003) Remote Sensing of Environment , vol.87 , pp. 456-469
    • Lu, D.1    Moran, E.2    Batistella, M.3
  • 16
    • 33646695357 scopus 로고    scopus 로고
    • Satellite estimation of aboveground biomass and impacts of forest stand structure
    • Lu, D., Batistella, M. and Moran, E. 2005. Satellite estimation of aboveground biomass and impacts of forest stand structure. Photogrammetric Engineering & Remote Sensing, 71(8): 967-974.
    • (2005) Photogrammetric Engineering & Remote Sensing , vol.71 , Issue.8 , pp. 967-974
    • Lu, D.1    Batistella, M.2    Moran, E.3
  • 17
    • 3543150133 scopus 로고    scopus 로고
    • Relationship between forest stand parameters and Landsat TM spectral responses in the Brazilian Amazon Basin
    • Lu, D. 2004. Relationship between forest stand parameters and Landsat TM spectral responses in the Brazilian Amazon Basin. Forest Ecology and Management, 198: 149-167.
    • (2004) Forest Ecology and Management , vol.198 , pp. 149-167
    • Lu, D.1
  • 18
    • 0032311806 scopus 로고    scopus 로고
    • Investigation of the utility of spectral vegetation indices for determining information on coniferous forests
    • McDonald, A. J., Gemmell, F. M. and Lewis, P. E. 1998. Investigation of the utility of spectral vegetation indices for determining information on coniferous forests. Remote Sensing of Environment, 66: 250-272.
    • (1998) Remote Sensing of Environment , vol.66 , pp. 250-272
    • McDonald, A.J.1    Gemmell, F.M.2    Lewis, P.E.3
  • 19
    • 16544375361 scopus 로고    scopus 로고
    • Hyperspectral band depth analysis for a better estimation of grass biomass (Cenchrus ciliaris) measured under controlled laboratory conditions
    • Mutanga, O. and Skidmore, A. K. 2004. Hyperspectral band depth analysis for a better estimation of grass biomass (Cenchrus ciliaris) measured under controlled laboratory conditions. International Journal of Applied Earth Observation and Geoinformation, 5: 87-96.
    • (2004) International Journal of Applied Earth Observation and Geoinformation , vol.5 , pp. 87-96
    • Mutanga, O.1    Skidmore, A.K.2
  • 20
    • 1842599743 scopus 로고    scopus 로고
    • NASA, Available from: [Accessed on 30 June 2005]
    • NASA. 2005. Landsat 7 science data users handbook [online] Available from: http://ltpwww.gsfc.nasa.gov/IAS/handbook/handbook_toc.html [Accessed on 30 June 2005]
    • (2005) Landsat 7 science data users handbook [online]
  • 22
    • 8844261993 scopus 로고    scopus 로고
    • Estimation of aboveground biomass in logged and primary lowland rainforests using 3-D photogrammetric analysis
    • Okuda, T. 2004. Estimation of aboveground biomass in logged and primary lowland rainforests using 3-D photogrammetric analysis. Forest Ecology and Management, 203: 63-75.
    • (2004) Forest Ecology and Management , vol.203 , pp. 63-75
    • Okuda, T.1
  • 23
    • 33845914584 scopus 로고    scopus 로고
    • Sub-pixel mapping of urban land cover using multiple endmember spectral mixture analysis: Manaus, Brazil
    • Powell, R. B. 2007. Sub-pixel mapping of urban land cover using multiple endmember spectral mixture analysis: Manaus, Brazil. Remote Sensing of Environment, 106: 253-267.
    • (2007) Remote Sensing of Environment , vol.106 , pp. 253-267
    • Powell, R.B.1
  • 24
    • 18144423162 scopus 로고    scopus 로고
    • Synthesis of remote sensing approaches for forest carbon estimation: reporting to the Kyoto Protocol
    • Patenaude, G., Milne, R. and Dawson, T. P. 2005. Synthesis of remote sensing approaches for forest carbon estimation: reporting to the Kyoto Protocol. Environmental Science and Policy, 8: 161-178.
    • (2005) Environmental Science and Policy , vol.8 , pp. 161-178
    • Patenaude, G.1    Milne, R.2    Dawson, T.P.3
  • 25
    • 0027063079 scopus 로고
    • GEMI: a non-linear index to monitor global vegetation from satellites
    • Pinty, B. and Verstraete, M. M. 1992. GEMI: a non-linear index to monitor global vegetation from satellites. Vegetatio, 101: 15-20.
    • (1992) Vegetatio , vol.101 , pp. 15-20
    • Pinty, B.1    Verstraete, M.M.2
  • 26
    • 39749167939 scopus 로고    scopus 로고
    • Spectral mixture analysis for mapping abundance of urban surface components from the Terra/ASTER data
    • Pu, R. 2008. Spectral mixture analysis for mapping abundance of urban surface components from the Terra/ASTER data. Remote Sensing of Environment, 112: 939-954.
    • (2008) Remote Sensing of Environment , vol.112 , pp. 939-954
    • Pu, R.1
  • 27
    • 0036221284 scopus 로고    scopus 로고
    • A comparison of methods for monitoring multi temporal vegetation change using Thematic Mapper imagery
    • Rogan, J., Franklin, J. and Roberts, D. A. 2002. A comparison of methods for monitoring multi temporal vegetation change using Thematic Mapper imagery. Remote Sensing of Environment, 80: 143-156.
    • (2002) Remote Sensing of Environment , vol.80 , pp. 143-156
    • Rogan, J.1    Franklin, J.2    Roberts, D.A.3
  • 28
    • 0042890290 scopus 로고    scopus 로고
    • A review of remote sensing technology in support of the Kyoto Protocol
    • Rosenqvist, Å. 2003. A review of remote sensing technology in support of the Kyoto Protocol. Environmental Science and Policy, 6: 441-455.
    • (2003) Environmental Science and Policy , vol.6 , pp. 441-455
    • Rosenqvist, A.1
  • 29
    • 0024855912 scopus 로고
    • Tropical forest biomass and successional age class relationship to vegetation index derived from LANDSAT TM data
    • Sader, S. A. 1989. Tropical forest biomass and successional age class relationship to vegetation index derived from LANDSAT TM data. Remote Sensing Environment, 28: 143-156.
    • (1989) Remote Sensing Environment , vol.28 , pp. 143-156
    • Sader, S.A.1
  • 31
    • 0038044681 scopus 로고    scopus 로고
    • Reduced-impact logging in Indonesian Borneo: some results confirming the need for new silvicultural prescriptions
    • Sist, P. 2003. Reduced-impact logging in Indonesian Borneo: some results confirming the need for new silvicultural prescriptions. Forest Ecology and Management, 179: 415-427.
    • (2003) Forest Ecology and Management , vol.179 , pp. 415-427
    • Sist, P.1
  • 32
    • 0035837463 scopus 로고    scopus 로고
    • Estimation of urban vegetation abundance by spectral mixture analysis
    • Small, C. 2001. Estimation of urban vegetation abundance by spectral mixture analysis. International Journal of Remote Sensing, 22(7): 1305-1334.
    • (2001) International Journal of Remote Sensing , vol.22 , Issue.7 , pp. 1305-1334
    • Small, C.1
  • 33
    • 0442314452 scopus 로고    scopus 로고
    • High spatial resolution spectral mixture analysis of urban reflectance
    • Small, C. 2003. High spatial resolution spectral mixture analysis of urban reflectance. Remote Sensing of Environment, 88: 170-186.
    • (2003) Remote Sensing of Environment , vol.88 , pp. 170-186
    • Small, C.1
  • 34
    • 4544358166 scopus 로고    scopus 로고
    • The Landsat ETM+ spectral mixing space
    • Small, C. 2004. The Landsat ETM+ spectral mixing space. Remote Sensing of Environment, 93: 1-17.
    • (2004) Remote Sensing of Environment , vol.93 , pp. 1-17
    • Small, C.1
  • 35
    • 13444288180 scopus 로고    scopus 로고
    • A global analysis of urban reflectance
    • Small, C. 2005. A global analysis of urban reflectance. International Journal of Remote Sensing, 26(4): 661-681.
    • (2005) International Journal of Remote Sensing , vol.26 , Issue.4 , pp. 661-681
    • Small, C.1
  • 36
    • 32244436793 scopus 로고    scopus 로고
    • Estimation and vicarious validation of urban vegetation abundance by spectral mixture analysis
    • Small, C. and Lu, J. W.T. 2006. Estimation and vicarious validation of urban vegetation abundance by spectral mixture analysis. Remote Sensing of Environment, 100: 441-456.
    • (2006) Remote Sensing of Environment , vol.100 , pp. 441-456
    • Small, C.1    Lu, J.W.T.2
  • 37
    • 0040141594 scopus 로고    scopus 로고
    • An alternative approach for detecting and monitoring selectively logged forests in the Amazon
    • Souza, C., Jr. and Barreto, P. 2000. An alternative approach for detecting and monitoring selectively logged forests in the Amazon. International Journal of Remote Sensing, 21(1): 173-179.
    • (2000) International Journal of Remote Sensing , vol.21 , Issue.1 , pp. 173-179
    • Souza Jr., C.1    Barreto, P.2
  • 38
    • 0442329984 scopus 로고    scopus 로고
    • Mapping forest degradation in the Eastern Amazon from SPOT 4 through spectral mixture models
    • Souza, Jr. C. 2003. Mapping forest degradation in the Eastern Amazon from SPOT 4 through spectral mixture models. Remote Sensing of Environment, 87: 494-506.
    • (2003) Remote Sensing of Environment , vol.87 , pp. 494-506
    • Souza Jr., C.1
  • 39
    • 25844499182 scopus 로고    scopus 로고
    • Combining spectral and spatial information to map canopy damage from selective logging and forest fires
    • Souza, Jr., C.M., Roberts, D. A. and Cocrane, M. A. 2005. Combining spectral and spatial information to map canopy damage from selective logging and forest fires. Remote Sensing of Environment, 98: 329-343.
    • (2005) Remote Sensing of Environment , vol.98 , pp. 329-343
    • Souza Jr., C.M.1    Roberts, D.A.2    Cocrane, M.A.3
  • 40
    • 0034655779 scopus 로고    scopus 로고
    • Satellite estimation of tropical secondary forest above-ground biomass data from Brazil and Bolivia
    • Steininger, M. K. 2000. Satellite estimation of tropical secondary forest above-ground biomass data from Brazil and Bolivia. International Journal of Remote Sensing, 21(6-7): 1139-1157.
    • (2000) International Journal of Remote Sensing , vol.21 , Issue.6-7 , pp. 1139-1157
    • Steininger, M.K.1
  • 42
    • 0030615372 scopus 로고    scopus 로고
    • Optimization of endmembers for spectral mixture analysis
    • Tompkins, S. 1997. Optimization of endmembers for spectral mixture analysis. Remote Sensing of Environment, 59: 472-489.
    • (1997) Remote Sensing of Environment , vol.59 , pp. 472-489
    • Tompkins, S.1
  • 43
    • 58149105396 scopus 로고    scopus 로고
    • Extracting urban vegetation characteristics using spectral mixture analysis and decision tree classifications
    • Tooke, T. R. 2009. Extracting urban vegetation characteristics using spectral mixture analysis and decision tree classifications. Remote Sensing of Environment, 113: 398-407.
    • (2009) Remote Sensing of Environment , vol.113 , pp. 398-407
    • Tooke, T.R.1
  • 44
    • 13644266973 scopus 로고    scopus 로고
    • A land cover distribution composite image from coarse spatial images using an unmixing method
    • Uenishi, T. M. 2005. A land cover distribution composite image from coarse spatial images using an unmixing method. International Journal of Remote Sensing, 26(5): 871-886.
    • (2005) International Journal of Remote Sensing , vol.26 , Issue.5 , pp. 871-886
    • Uenishi, T.M.1
  • 48
    • 77949301973 scopus 로고    scopus 로고
    • Improved strategy for estimating stem volume and forest biomass using moderate resolution remote sensing data and GIS
    • Wijaya, A. 2010. Improved strategy for estimating stem volume and forest biomass using moderate resolution remote sensing data and GIS. Journal of Forestry Research, 21(1): 1-12.
    • (2010) Journal of Forestry Research , vol.21 , Issue.1 , pp. 1-12
    • Wijaya, A.1
  • 49
    • 0037333517 scopus 로고    scopus 로고
    • Sensitivity of vegetation indices to atmospheric aerosols: continental-scale observations in Northern Asia
    • Xiao, X. 2003. Sensitivity of vegetation indices to atmospheric aerosols: continental-scale observations in Northern Asia. Remote Sensing of Environment, 84: 385-392.
    • (2003) Remote Sensing of Environment , vol.84 , pp. 385-392
    • Xiao, X.1
  • 50
    • 5044238043 scopus 로고    scopus 로고
    • + data across a managed landscape in northern Wisconsin, USA
    • + data across a managed landscape in northern Wisconsin, USA. Remote Sensing of Environment, 93: 402-411.
    • (2004) Remote Sensing of Environment , vol.93 , pp. 402-411
    • Zheng, D.1
  • 51
    • 34548862889 scopus 로고    scopus 로고
    • Combining remote sensing imagery and forest age inventory for biomass mapping
    • Zheng, G. 2007. Combining remote sensing imagery and forest age inventory for biomass mapping. Journal of Environmental Management, 85: 616-623.
    • (2007) Journal of Environmental Management , vol.85 , pp. 616-623
    • Zheng, G.1


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