메뉴 건너뛰기




Volumn 102, Issue 1, 2007, Pages 33-42

Assessing broadband vegetation indices and QuickBird data in estimating leaf area index of corn and potato canopies

Author keywords

Leaf area index; QuickBird; Remote sensing; Sensitivity; Stability; Vegetation index

Indexed keywords

AGRONOMY; IMAGE RESOLUTION; REMOTE SENSING; VEGETATION;

EID: 34247144990     PISSN: 03784290     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fcr.2007.01.003     Document Type: Article
Times cited : (84)

References (44)
  • 1
    • 0022268746 scopus 로고
    • Estimates of leaf area index from spectral reflectance of wheat under different cultural practices and solar angle
    • Asrar G., Kanemasu E.T., and Yoshida M. Estimates of leaf area index from spectral reflectance of wheat under different cultural practices and solar angle. Remote Sens. Environ. 17 (1985) 1-11
    • (1985) Remote Sens. Environ. , vol.17 , pp. 1-11
    • Asrar, G.1    Kanemasu, E.T.2    Yoshida, M.3
  • 4
    • 0026305589 scopus 로고
    • Potentials and limits of vegetation indices for LAI and APAR assessment
    • Baret F., and Guyot G. Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sens. Environ. 35 (1991) 161-173
    • (1991) Remote Sens. Environ. , vol.35 , pp. 161-173
    • Baret, F.1    Guyot, G.2
  • 8
    • 0027009298 scopus 로고
    • Accuracy of estimating the leaf area index from vegetation indices derived from crop reflectance characteristics, a simulation study
    • Bouman B.A.M. Accuracy of estimating the leaf area index from vegetation indices derived from crop reflectance characteristics, a simulation study. Int. J. Remote Sens. 16 (1992) 3069-3084
    • (1992) Int. J. Remote Sens. , vol.16 , pp. 3069-3084
    • Bouman, B.A.M.1
  • 9
    • 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 Leblanc E. Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density. Remote Sens. Environ. 76 (2000) 156-172
    • (2000) Remote Sens. Environ. , vol.76 , pp. 156-172
    • Broge, N.H.1    Leblanc, E.2
  • 10
    • 0031463298 scopus 로고    scopus 로고
    • On the relation between NDVI, fractional vegetation cover, and leaf area index
    • Carlson T.N., and Ripley D.A. On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sens. Environ. 62 (1997) 241-252
    • (1997) Remote Sens. Environ. , vol.62 , pp. 241-252
    • Carlson, T.N.1    Ripley, D.A.2
  • 11
    • 1542287527 scopus 로고    scopus 로고
    • Retrieval of crop canopy properties: a comparison between model inversion from hyperspectral data and image classification
    • Casa R., and Jones H.G. Retrieval of crop canopy properties: a comparison between model inversion from hyperspectral data and image classification. Int. J. Remote Sens. 25 (2004) 1119-1130
    • (2004) Int. J. Remote Sens. , vol.25 , pp. 1119-1130
    • Casa, R.1    Jones, H.G.2
  • 12
    • 0021032148 scopus 로고
    • Multispectral remote sensing for the estimation of green leaf area index
    • Curran P.J. Multispectral remote sensing for the estimation of green leaf area index. Philos. T. Roy. Soc. A 309 (1983) 257-270
    • (1983) Philos. T. Roy. Soc. A , vol.309 , pp. 257-270
    • Curran, P.J.1
  • 13
    • 0022926926 scopus 로고
    • Sample size for ground and remotely sensed data
    • Curran P.J., and Williamson H.D. Sample size for ground and remotely sensed data. Remote Sens. Environ. 20 (1986) 31-41
    • (1986) Remote Sens. Environ. , vol.20 , pp. 31-41
    • Curran, P.J.1    Williamson, H.D.2
  • 16
    • 0028815095 scopus 로고
    • Comparison of broadband and narrow-band red and near infrared vegetation indices
    • Elvidge C.D., and Chen Z. Comparison of broadband and narrow-band red and near infrared vegetation indices. Remote Sens. Environ. 54 (1995) 38-48
    • (1995) Remote Sens. Environ. , vol.54 , pp. 38-48
    • Elvidge, C.D.1    Chen, Z.2
  • 19
    • 0031270693 scopus 로고    scopus 로고
    • Theoretical limits to the estimation of the leaf area index on the basis of visible and near-infrared remote sensing data
    • Gobron N., Pinty B., and Verstraete M.M. Theoretical limits to the estimation of the leaf area index on the basis of visible and near-infrared remote sensing data. IEEE T. Geosci. Remote Sens. 35 (1997) 1438-1445
    • (1997) IEEE T. Geosci. Remote Sens. , vol.35 , pp. 1438-1445
    • Gobron, N.1    Pinty, B.2    Verstraete, M.M.3
  • 20
    • 0021644184 scopus 로고
    • Inversion of vegetation canopy reflectance models for estimating agronomic variables. V. Estimation of leaf area index and average leaf angle using measured canopy reflectances
    • Goel N.S., and Thompson R.L. Inversion of vegetation canopy reflectance models for estimating agronomic variables. V. Estimation of leaf area index and average leaf angle using measured canopy reflectances. Remote Sens. Environ. 16 (1984) 69-85
    • (1984) Remote Sens. Environ. , vol.16 , pp. 69-85
    • Goel, N.S.1    Thompson, R.L.2
  • 21
    • 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., Miller J.R., Pattey E., Zarco-Tejada P.J., and Strachan I.B. Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: modeling and validation in the context of precision agriculture. Remote Sens. Environ. 90 (2004) 337-352
    • (2004) Remote Sens. Environ. , vol.90 , pp. 337-352
    • Haboudane, D.1    Miller, J.R.2    Pattey, E.3    Zarco-Tejada, P.J.4    Strachan, I.B.5
  • 22
    • 0024165401 scopus 로고
    • A soil-adjusted vegetation index (SAVI)
    • Huete A.R. A soil-adjusted vegetation index (SAVI). Remote Sens. Environ. 25 (1988) 295-309
    • (1988) Remote Sens. Environ. , vol.25 , pp. 295-309
    • Huete, A.R.1
  • 23
    • 0002762328 scopus 로고
    • Soil influences in remotely sensed vegetation-canopy spectra
    • Asrar G. (Ed), Wiley, New York
    • Huete A.R. Soil influences in remotely sensed vegetation-canopy spectra. In: Asrar G. (Ed). Theory and Application of Optical Remote Sensing (1989), Wiley, New York 107-141
    • (1989) Theory and Application of Optical Remote Sensing , pp. 107-141
    • Huete, A.R.1
  • 24
    • 0028982382 scopus 로고
    • Extraction of vegetation biophysical parameters by inversion of the PROSPECT+SAIL models on sugar beet canopy reflectance data: application to TM and AVIRIS sensors
    • Jacquemoud S., Baret F., Andrieu B., Danson F.M., and Jaggard K.W. Extraction of vegetation biophysical parameters by inversion of the PROSPECT+SAIL models on sugar beet canopy reflectance data: application to TM and AVIRIS sensors. Remote Sens. Environ. 52 (1995) 163-172
    • (1995) Remote Sens. Environ. , vol.52 , pp. 163-172
    • Jacquemoud, S.1    Baret, F.2    Andrieu, B.3    Danson, F.M.4    Jaggard, K.W.5
  • 25
    • 0034478693 scopus 로고    scopus 로고
    • Comparison of four radiative transfer models to simulate plant canopies reflectance: direct and inverse mode
    • Jacquemoud S., Bacour C., Poilve H., and Frangi J.-P. Comparison of four radiative transfer models to simulate plant canopies reflectance: direct and inverse mode. Remote Sens. Environ. 74 (2000) 417-481
    • (2000) Remote Sens. Environ. , vol.74 , pp. 417-481
    • Jacquemoud, S.1    Bacour, C.2    Poilve, H.3    Frangi, J.-P.4
  • 26
    • 0028534081 scopus 로고
    • A multispectral canopy reflectance model
    • Kuusk A. A multispectral canopy reflectance model. Remote Sens. Environ. 50 (1994) 75-82
    • (1994) Remote Sens. Environ. , vol.50 , pp. 75-82
    • Kuusk, A.1
  • 27
    • 0028683114 scopus 로고
    • Evaluation of the performance of various vegetation indices to retrieve cover from AVHRR data
    • LePrieur D., Verstraete M.M., and Pinty B. Evaluation of the performance of various vegetation indices to retrieve cover from AVHRR data. Remote Sens. Rev. 10 (1994) 265-284
    • (1994) Remote Sens. Rev. , vol.10 , pp. 265-284
    • LePrieur, D.1    Verstraete, M.M.2    Pinty, B.3
  • 28
    • 0026453289 scopus 로고
    • Accuracy and sensitivity analysis of SAIL model-predicted reflectance of maize
    • Major D.J., Schaalje G.B., Wiegand C., and Blad B.L. Accuracy and sensitivity analysis of SAIL model-predicted reflectance of maize. Remote Sens. Environ. 41 (1992) 61-70
    • (1992) Remote Sens. Environ. , vol.41 , pp. 61-70
    • Major, D.J.1    Schaalje, G.B.2    Wiegand, C.3    Blad, B.L.4
  • 29
    • 0000169232 scopus 로고
    • An algorithm for least squares estimation of nonlinear parameters
    • Marquardt D.W. An algorithm for least squares estimation of nonlinear parameters. J. Soc. Ind. Appl. Math. 11 (1963) 431-441
    • (1963) J. Soc. Ind. Appl. Math. , vol.11 , pp. 431-441
    • Marquardt, D.W.1
  • 30
    • 0032054885 scopus 로고    scopus 로고
    • Combining agricultural crop models and satellite observations: from field to regional scales
    • Moulin S., Bondeau A., and Delecolle R. Combining agricultural crop models and satellite observations: from field to regional scales. Int. J. Remote Sens. 19 (1998) 1021-1036
    • (1998) Int. J. Remote Sens. , vol.19 , pp. 1021-1036
    • Moulin, S.1    Bondeau, A.2    Delecolle, R.3
  • 31
    • 0028388801 scopus 로고
    • Atmospheric effects and spectral vegetation indices
    • Myneni R.B., and Asrar G. Atmospheric effects and spectral vegetation indices. Remote Sens. Environ. 47 (1994) 390-402
    • (1994) Remote Sens. Environ. , vol.47 , pp. 390-402
    • Myneni, R.B.1    Asrar, G.2
  • 34
    • 0000855550 scopus 로고
    • Distinguishing vegetation from soil background information
    • Richardson A.J., and Wiegand C.L. Distinguishing vegetation from soil background information. Photogramm. Eng. Remote Sens. 43 (1977) 1541-1552
    • (1977) Photogramm. Eng. Remote Sens. , vol.43 , pp. 1541-1552
    • Richardson, A.J.1    Wiegand, C.L.2
  • 36
    • 0022557718 scopus 로고
    • Diurnal patterns of bidirectional vegetation indices for wheat canopies
    • Shibayama M., Wiegand C.L., and Richardson A.J. Diurnal patterns of bidirectional vegetation indices for wheat canopies. Int. J. Remote Sens. 7 (1986) 233-246
    • (1986) Int. J. Remote Sens. , vol.7 , pp. 233-246
    • Shibayama, M.1    Wiegand, C.L.2    Richardson, A.J.3
  • 38
    • 0033214167 scopus 로고    scopus 로고
    • Relationships between leaf area index and Landsat TM spectral vegetation indices across three temperate zone sites
    • Turner D.P., Cohen W.B., Kennedy R.E., Fassnacht K.S., and Briggs J.M. Relationships between leaf area index and Landsat TM spectral vegetation indices across three temperate zone sites. Remote Sens. Environ. 70 (1999) 52-68
    • (1999) Remote Sens. Environ. , vol.70 , pp. 52-68
    • Turner, D.P.1    Cohen, W.B.2    Kennedy, R.E.3    Fassnacht, K.S.4    Briggs, J.M.5
  • 39
    • 0035153408 scopus 로고    scopus 로고
    • Ground-measured spectral signatures as indicators of ground cover and leaf area index: the case of paddy rice
    • Vaesen K., Gilliams S., Nackaerts K., and Coppin P. Ground-measured spectral signatures as indicators of ground cover and leaf area index: the case of paddy rice. Field Crop. Res. 69 (2001) 13-25
    • (2001) Field Crop. Res. , vol.69 , pp. 13-25
    • Vaesen, K.1    Gilliams, S.2    Nackaerts, K.3    Coppin, P.4
  • 40
    • 0021644260 scopus 로고
    • Light scattering by leaf layers with application to canopy reflectance modeling: the SAIL model
    • Verhoef W. Light scattering by leaf layers with application to canopy reflectance modeling: the SAIL model. Remote Sens. Environ. 16 (1984) 125-141
    • (1984) Remote Sens. Environ. , vol.16 , pp. 125-141
    • Verhoef, W.1
  • 41
    • 4444224968 scopus 로고    scopus 로고
    • A comparison of empirical and neural network approaches for estimating corn and soybean leaf area index from Landsat ETM+ imagery
    • Walthall C., Dulaney W., Anderson M., Norman J., Fang H., and Liang S. A comparison of empirical and neural network approaches for estimating corn and soybean leaf area index from Landsat ETM+ imagery. Remote Sens. Environ. 92 (2004) 465-474
    • (2004) Remote Sens. Environ. , vol.92 , pp. 465-474
    • Walthall, C.1    Dulaney, W.2    Anderson, M.3    Norman, J.4    Fang, H.5    Liang, S.6
  • 43
    • 27644510108 scopus 로고    scopus 로고
    • Image-based atmospheric correction of QuickBird imagery of Minnesota cropland
    • Wu J., Wang D., and Bauer M.E. Image-based atmospheric correction of QuickBird imagery of Minnesota cropland. Remote Sens. Environ. 99 (2005) 315-325
    • (2005) Remote Sens. Environ. , vol.99 , pp. 315-325
    • Wu, J.1    Wang, D.2    Bauer, M.E.3
  • 44
    • 33845870913 scopus 로고    scopus 로고
    • Comparison of petiole nitrate concentrations, SPAD chlorophyll readings, and QuickBird satellite imagery in detecting nitrogen status of potato canopies
    • Wu J., Wang D., Rosen C.J., and Bauer M.E. Comparison of petiole nitrate concentrations, SPAD chlorophyll readings, and QuickBird satellite imagery in detecting nitrogen status of potato canopies. Field Crop. Res. 101 (2007) 96-103
    • (2007) Field Crop. Res. , vol.101 , pp. 96-103
    • Wu, J.1    Wang, D.2    Rosen, C.J.3    Bauer, M.E.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.