메뉴 건너뛰기




Volumn 73, Issue 10, 2007, Pages 1141-1148

Estimating grassland biomass using SVM band shaving of hyperspectral data

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL CAMERAS; ESTIMATION; INFRARED RADIATION; SUPPORT VECTOR MACHINES; VEGETATION;

EID: 35148867868     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: 10.14358/PERS.73.10.1141     Document Type: Article
Times cited : (97)

References (41)
  • 1
    • 4544266860 scopus 로고    scopus 로고
    • Object-based retrieval of biophysical canopy variables using artificial neural nets and radiative transfer models
    • Atzberger, C., 2004. Object-based retrieval of biophysical canopy variables using artificial neural nets and radiative transfer models, Remote Sensing of Environment, 93(1-2):53-67.
    • (2004) Remote Sensing of Environment , vol.93 , Issue.1-2 , pp. 53-67
    • Atzberger, C.1
  • 2
    • 0035031849 scopus 로고    scopus 로고
    • Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density
    • Broge, N.H., and E. Leblanc, 2001. Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density, Remote Sensing of Environment, 76(2):156-172.
    • (2001) Remote Sensing of Environment , vol.76 , Issue.2 , pp. 156-172
    • Broge, N.H.1    Leblanc, E.2
  • 3
    • 0034651854 scopus 로고    scopus 로고
    • A technique for feature selection in multiclass problems
    • Bruzzone, L., and S.B. Serpico, 2000. A technique for feature selection in multiclass problems, International Journal of Remote Sensing, 21(3):549-563.
    • (2000) International Journal of Remote Sensing , vol.21 , Issue.3 , pp. 549-563
    • Bruzzone, L.1    Serpico, S.B.2
  • 4
    • 25844463683 scopus 로고    scopus 로고
    • Vegetation water content estimation for corn and soybeans using spectral indices derived from MODIS near- and short-wave infrared bands
    • Chen, D.Y., J.F. Huang, and T.J. Jackson, 2005. Vegetation water content estimation for corn and soybeans using spectral indices derived from MODIS near- and short-wave infrared bands, Remote Sensing of Environment, 98(2-3):225-236.
    • (2005) Remote Sensing of Environment , vol.98 , Issue.2-3 , pp. 225-236
    • Chen, D.Y.1    Huang, J.F.2    Jackson, T.J.3
  • 5
    • 0024855907 scopus 로고
    • The application of a weighted infrared-red vegetation index for estimating Leaf Area Index by correcting for soil moisture
    • Clevers, J.G.P.W., 1989. The application of a weighted infrared-red vegetation index for estimating Leaf Area Index by correcting for soil moisture, Remote Sensing of Environment, 29(1):25-37.
    • (1989) Remote Sensing of Environment , vol.29 , Issue.1 , pp. 25-37
    • Clevers, J.G.P.W.1
  • 6
    • 1242294185 scopus 로고    scopus 로고
    • Imaging spectrometry for agricultural applications
    • F.D. Van der Meer and S.M. De Jong, editors, Kluwer Academic Publishers, Dordrecht, pp
    • Clevers, J.G.P.W., and R.E.E. Jongschaap, 2001. Imaging spectrometry for agricultural applications, Imaging Spectrometry: Basic Principles and Prospective Applications (F.D. Van der Meer and S.M. De Jong, editors), Kluwer Academic Publishers, Dordrecht, pp. 157-199.
    • (2001) Imaging Spectrometry: Basic Principles and Prospective Applications , pp. 157-199
    • Clevers, J.G.P.W.1    Jongschaap, R.E.E.2
  • 8
    • 0037211652 scopus 로고    scopus 로고
    • Retrieval of canopy biophysical variables from bidirectional reflectance - Using prior information to solve the ill-posed inverse problem
    • Combal, B., F. Baret, M. Weiss, A. Trubuil, D. Mace, A. Pragnere, R. Myneni, Y. Knyazikhin, and L. Wang, 2003. Retrieval of canopy biophysical variables from bidirectional reflectance - Using prior information to solve the ill-posed inverse problem, Remote Sensing of Environment, 84(1):1-15.
    • (2003) Remote Sensing of Environment , vol.84 , Issue.1 , pp. 1-15
    • Combal, B.1    Baret, F.2    Weiss, M.3    Trubuil, A.4    Mace, D.5    Pragnere, A.6    Myneni, R.7    Knyazikhin, Y.8    Wang, L.9
  • 9
    • 0024856758 scopus 로고
    • Remote sensing of foliar chemistry
    • Curran, P.J., 1989. Remote sensing of foliar chemistry, Remote Sensing of Environment, 30(3):271-278.
    • (1989) Remote Sensing of Environment , vol.30 , Issue.3 , pp. 271-278
    • Curran, P.J.1
  • 12
    • 0032551508 scopus 로고    scopus 로고
    • A new technique for interpolating the reflectance red edge position
    • Dawson, T.P., and P.J. Curran, 1998. A new technique for interpolating the reflectance red edge position, International Journal of Remote Sensing, 19(11):2133-2139.
    • (1998) International Journal of Remote Sensing , vol.19 , Issue.11 , pp. 2133-2139
    • Dawson, T.P.1    Curran, P.J.2
  • 14
    • 0028815095 scopus 로고
    • Comparison of broad-band and narrow-band red and near-infrared vegetation indexes
    • Elvidge, C.D., and Z.K. Chen, 1995. Comparison of broad-band and narrow-band red and near-infrared vegetation indexes, Remote Sensing of Environment, 54(1):38-48.
    • (1995) Remote Sensing of Environment , vol.54 , Issue.1 , pp. 38-48
    • Elvidge, C.D.1    Chen, Z.K.2
  • 15
    • 0030429663 scopus 로고    scopus 로고
    • NDWI - A normalized difference water index for remote sensing of vegetation liquid water from space
    • Gao, B.C., 1996. NDWI - A normalized difference water index for remote sensing of vegetation liquid water from space, Remote Sensing of Environment, 58(3):257-266.
    • (1996) Remote Sensing of Environment , vol.58 , Issue.3 , pp. 257-266
    • Gao, B.C.1
  • 16
    • 0042382986 scopus 로고    scopus 로고
    • Estimation of forest leaf area index using vegetation indices derived from Hyperion hyperspectral data
    • Gong, P., R.L. Pu, C.S. Biging, and M.R. Larrieu, 2003. Estimation of forest leaf area index using vegetation indices derived from Hyperion hyperspectral data, IEEE Transactions on Geoscience and Remote Sensing, 41(6):1355-1362.
    • (2003) IEEE Transactions on Geoscience and Remote Sensing , vol.41 , Issue.6 , pp. 1355-1362
    • Gong, P.1    Pu, R.L.2    Biging, C.S.3    Larrieu, M.R.4
  • 17
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • Guyon, I., J. Weston, S. Barnhill, and V. Vapnik, 2002. Gene selection for cancer classification using support vector machines, Machine Learning, 46(1-3):389-422.
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 19
    • 1842431418 scopus 로고    scopus 로고
    • Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
    • Haboudane, D., J.R. Miller, E. Pattey, P.J. Zarco-Tejada, and I.B. Strachan, 2004. Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture, Remote Sensing of Environment, 90(3):337-352.
    • (2004) Remote Sensing of Environment , vol.90 , Issue.3 , pp. 337-352
    • Haboudane, D.1    Miller, J.R.2    Pattey, E.3    Zarco-Tejada, P.J.4    Strachan, I.B.5
  • 20
    • 0036323544 scopus 로고    scopus 로고
    • Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture
    • Haboudane, D., J.R. Miller, N. Tremblay, P.J. Zarco-Tejada, and L. Dextraze, 2002. Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture, Remote Sensing of Environment, 81(2-3):416-426.
    • (2002) Remote Sensing of Environment , vol.81 , Issue.2-3 , pp. 416-426
    • Haboudane, D.1    Miller, J.R.2    Tremblay, N.3    Zarco-Tejada, P.J.4    Dextraze, L.5
  • 21
    • 0141792270 scopus 로고    scopus 로고
    • Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression
    • Hansen, P.M., and J.K. Schjoerring, 2003. Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression, Remote Sensing of Environment, 86(4):542-553.
    • (2003) Remote Sensing of Environment , vol.86 , Issue.4 , pp. 542-553
    • Hansen, P.M.1    Schjoerring, J.K.2
  • 23
    • 4544314243 scopus 로고    scopus 로고
    • Estimating foliage nitrogen concentration from HYMAP data using continuum removal analysis
    • Huang, Z., B.J. Turner, S.J. Dury, I.R. Wallis, and W.J. Foley, 2004. Estimating foliage nitrogen concentration from HYMAP data using continuum removal analysis, Remote Sensing of Environment, 93(1-2):18-29.
    • (2004) Remote Sensing of Environment , vol.93 , Issue.1-2 , pp. 18-29
    • Huang, Z.1    Turner, B.J.2    Dury, S.J.3    Wallis, I.R.4    Foley, W.J.5
  • 25
    • 0024165401 scopus 로고
    • A soil-adjusted vegetation index (SAVI)
    • Huete, A.R., 1988. A soil-adjusted vegetation index (SAVI), Remote Sensing of Environment, 25(3):295-309.
    • (1988) Remote Sensing of Environment , vol.25 , Issue.3 , pp. 295-309
    • Huete, A.R.1
  • 26
    • 0025920281 scopus 로고
    • Airborne Remote-Sensing of Canopy Water Thickness Scaled from Leaf Spectrometer Data
    • Hunt, E.R., 1991. Airborne Remote-Sensing of Canopy Water Thickness Scaled from Leaf Spectrometer Data, International Journal of Remote Sensing, 12(3):643-649.
    • (1991) International Journal of Remote Sensing , vol.12 , Issue.3 , pp. 643-649
    • Hunt, E.R.1
  • 27
    • 0034478693 scopus 로고    scopus 로고
    • Comparison of four radiative transfer models to simulate plant canopies reflectance: Direct and inverse mode
    • Jacquemoud, S., C. Bacour, H. Poilve, and J.P. Frangi, 2000. Comparison of four radiative transfer models to simulate plant canopies reflectance: Direct and inverse mode, Remote Sensing of Environment, 74(3):471-481.
    • (2000) Remote Sensing of Environment , vol.74 , Issue.3 , pp. 471-481
    • Jacquemoud, S.1    Bacour, C.2    Poilve, H.3    Frangi, J.P.4
  • 29
    • 0031228124 scopus 로고    scopus 로고
    • Opportunities and limitations for image-based remote sensing in precision crop management
    • Moran, M.S., Y. Inoue, and E.M. Barnes, 1997. Opportunities and limitations for image-based remote sensing in precision crop management, Remote Sensing of Environment, 61(3):319-346.
    • (1997) Remote Sensing of Environment , vol.61 , Issue.3 , pp. 319-346
    • Moran, M.S.1    Inoue, Y.2    Barnes, E.M.3
  • 30
    • 0031225091 scopus 로고    scopus 로고
    • Estimation of plant water concentration by the reflectance water index WI (R900/R970)
    • Penuelas, J., J. Pinol, R. Ogaya, and I. Filella, 1997. Estimation of plant water concentration by the reflectance water index WI (R900/R970), International Journal of Remote Sensing, 18(13):2869-2875.
    • (1997) International Journal of Remote Sensing , vol.18 , Issue.13 , pp. 2869-2875
    • Penuelas, J.1    Pinol, J.2    Ogaya, R.3    Filella, I.4
  • 31
    • 0027063079 scopus 로고
    • Gemi - A nonlinear index to monitor global vegetation from satellites
    • Pinty, B., and M.M. Verstraete, 1992. Gemi - A nonlinear index to monitor global vegetation from satellites, Vegetatio, 101(1):15-20.
    • (1992) Vegetatio , vol.101 , Issue.1 , pp. 15-20
    • Pinty, B.1    Verstraete, M.M.2
  • 33
    • 13944257408 scopus 로고    scopus 로고
    • Status and future perspectives of the application potential of digital airborne sensor systems
    • Schiewe, J., 2005. Status and future perspectives of the application potential of digital airborne sensor systems, International Journal of Applied Earth Observation, 6(3-4):215-228.
    • (2005) International Journal of Applied Earth Observation , vol.6 , Issue.3-4 , pp. 215-228
    • Schiewe, J.1
  • 34
    • 14744290713 scopus 로고    scopus 로고
    • Remote sensing of forest biophysical variables using HyMap imaging spectrometer data
    • Schlerf, M., C. Atzberger, and J. Hill, 2005. Remote sensing of forest biophysical variables using HyMap imaging spectrometer data, Remote Sensing of Environment, 95(2):177-194.
    • (2005) Remote Sensing of Environment , vol.95 , Issue.2 , pp. 177-194
    • Schlerf, M.1    Atzberger, C.2    Hill, J.3
  • 35
    • 0036323440 scopus 로고    scopus 로고
    • Remote sensing of nitrogen and lignin in Mediterranean vegetation from AVIRIS data: Decomposing biochemical from structural signals
    • Serrano, L., J. Penuelas, and S.L. Ustin, 2002. Remote sensing of nitrogen and lignin in Mediterranean vegetation from AVIRIS data: Decomposing biochemical from structural signals, Remote Sensing of Environment, 81(2-3):355-364.
    • (2002) Remote Sensing of Environment , vol.81 , Issue.2-3 , pp. 355-364
    • Serrano, L.1    Penuelas, J.2    Ustin, S.L.3
  • 36
    • 0033970477 scopus 로고    scopus 로고
    • Hyperspectral vegetation indices and their relationships with agricultural crop characteristics
    • Thenkabail, P.S., R.B. Smith, and E. De Pauw, 2000. Hyperspectral vegetation indices and their relationships with agricultural crop characteristics, Remote Sensing of Environment, 71(2):158-182.
    • (2000) Remote Sensing of Environment , vol.71 , Issue.2 , pp. 158-182
    • Thenkabail, P.S.1    Smith, R.B.2    De Pauw, E.3
  • 37
    • 0036274669 scopus 로고    scopus 로고
    • Evaluation of narrowband and broadband vegetation indices for determining optimal hyperspectral wavebands for agricultural crop characterization
    • Thenkabail, P.S., R.B. Smith, and E. De Pauw, 2002. Evaluation of narrowband and broadband vegetation indices for determining optimal hyperspectral wavebands for agricultural crop characterization, Photogrammetric Engineering B Remote Sensing, 68(6):607-621.
    • (2002) Photogrammetric Engineering B Remote Sensing , vol.68 , Issue.6 , pp. 607-621
    • Thenkabail, P.S.1    Smith, R.B.2    De Pauw, E.3
  • 39
    • 0027943145 scopus 로고
    • Comparing the predictive accuracy of models using a simple randomization test
    • Van der Voet, H., 1994. Comparing the predictive accuracy of models using a simple randomization test, Chemometrics and Intelligent Laboratory Systems, 25:313-323.
    • (1994) Chemometrics and Intelligent Laboratory Systems , vol.25 , pp. 313-323
    • Van der Voet, H.1
  • 40
    • 85039086399 scopus 로고    scopus 로고
    • Vapnik, V., 1998. Statistical Learning Theory. Wiley, New York, 768 p.
    • Vapnik, V., 1998. Statistical Learning Theory. Wiley, New York, 768 p.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.