메뉴 건너뛰기




Volumn 98, Issue 6, 2006, Pages 1600-1609

Modeling water-stressed cotton growth using within-season remote sensing data

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; CULTIVATION; IRRIGATION; REMOTE SENSING;

EID: 33751100650     PISSN: 00021962     EISSN: None     Source Type: Journal    
DOI: 10.2134/agronj2005.0284     Document Type: Article
Times cited : (18)

References (36)
  • 1
    • 33751095142 scopus 로고
    • The future role of a crop model in large area yield estimation
    • USDA-NOAA-EDIS-CEAS, Columbia, MO
    • Arkin, G.F., C.L. Wiegand, and H. Huddleston. 1977. The future role of a crop model in large area yield estimation. p. 87-116. In Proceedings of the Crop Modeling Workshop. USDA-NOAA-EDIS-CEAS, Columbia, MO.
    • (1977) Proceedings of the Crop Modeling Workshop , pp. 87-116
    • Arkin, G.F.1    Wiegand, C.L.2    Huddleston, H.3
  • 2
    • 0036889265 scopus 로고    scopus 로고
    • Using satellite and field data with crop growth modeling to monitor and estimate corn yield in Mexico
    • Baez-Gonzalez, A.D., P. Chen, M. Tiscareno-Lopez, and R. Srinivasan. 2002. Using satellite and field data with crop growth modeling to monitor and estimate corn yield in Mexico. Crop Sci. 42:1943-1949.
    • (2002) Crop Sci. , vol.42 , pp. 1943-1949
    • Baez-Gonzalez, A.D.1    Chen, P.2    Tiscareno-Lopez, M.3    Srinivasan, R.4
  • 4
    • 0026305589 scopus 로고
    • Potentials and limits of vegetation indices for LAI and APAR assessment
    • Baret, F., and G. Guyot. 1991. Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sens. Environ. 35:161-173.
    • (1991) Remote Sens. Environ. , vol.35 , pp. 161-173
    • Baret, F.1    Guyot, G.2
  • 5
    • 0036159625 scopus 로고    scopus 로고
    • Identifying potential within-field management zones from cotton-yield estimates
    • Boydell, B., and A.B. McBratney. 2002. Identifying potential within-field management zones from cotton-yield estimates. Precis. Agric. 3:9-23.
    • (2002) Precis. Agric. , vol.3 , pp. 9-23
    • Boydell, B.1    McBratney, A.B.2
  • 6
    • 84934886548 scopus 로고
    • Stress effects on plant reproduction
    • H.A. Mooney et al. (ed.). Academic Press, New York
    • Chiarello, N.R., and S.L. Gulmon. 1991. Stress effects on plant reproduction. p. 161-168. In H.A. Mooney et al. (ed.) Response of plants to multiple stresses. Academic Press, New York.
    • (1991) Response of Plants to Multiple Stresses , pp. 161-168
    • Chiarello, N.R.1    Gulmon, S.L.2
  • 7
    • 0019748250 scopus 로고
    • Irrigation of crops in a subhumid environment: VI. Effect of irrigation and nitrogen fertilizer on growth, yield, and quality of cotton
    • Constable, G.C., and A.B. Hearn. 1981. Irrigation of crops in a subhumid environment: VI. Effect of irrigation and nitrogen fertilizer on growth, yield, and quality of cotton. Irrig. Sci. 3:17-28.
    • (1981) Irrig. Sci. , vol.3 , pp. 17-28
    • Constable, G.C.1    Hearn, A.B.2
  • 8
    • 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. 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 Sens. Environ. 90:337-352.
    • (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.5
  • 10
    • 0000551183 scopus 로고
    • 2, irrigation, and nitrogen: Yield and growth
    • 2, irrigation, and nitrogen: Yield and growth. Agron. J. 85:700-706.
    • (1993) Agron. J. , vol.85 , pp. 700-706
    • Kimball, B.A.1    Mauney, J.R.2
  • 12
    • 26844478986 scopus 로고    scopus 로고
    • Modification of the GRAMI model for cotton
    • Ko, J., S.J. Maas, R.J. Lascano, and D. Wanjura. 2005. Modification of the GRAMI model for cotton. Agron. J. 97:1374-1379.
    • (2005) Agron. J. , vol.97 , pp. 1374-1379
    • Ko, J.1    Maas, S.J.2    Lascano, R.J.3    Wanjura, D.4
  • 13
    • 0020363723 scopus 로고
    • Spectral reflectance of partly transmitting leaves: Laboratory measurements and mathematical modeling
    • Lillesaeter, O. 1982. Spectral reflectance of partly transmitting leaves: Laboratory measurements and mathematical modeling. Remote Sens. Environ. 12:247-254.
    • (1982) Remote Sens. Environ. , vol.12 , pp. 247-254
    • Lillesaeter, O.1
  • 15
    • 0001080558 scopus 로고
    • Parameterized model of gramineous crop growth: I. Leaf area and dry mass simulation
    • Maas, S.J. 1993a. Parameterized model of gramineous crop growth: I. Leaf area and dry mass simulation. Agron. J. 85:348-353.
    • (1993) Agron. J. , vol.85 , pp. 348-353
    • Maas, S.J.1
  • 16
    • 0012633143 scopus 로고
    • Parameterized model of gramineous crop growth: II. Within-season simulation calibration
    • Maas, S.J. 1993b. Parameterized model of gramineous crop growth: II. Within-season simulation calibration. Agron. J. 85:354-358.
    • (1993) Agron. J. , vol.85 , pp. 354-358
    • Maas, S.J.1
  • 17
    • 0012006847 scopus 로고
    • Within-season calibration of modeled wheat growth using remote sensing and field sampling
    • Maas, S.J. 1993c. Within-season calibration of modeled wheat growth using remote sensing and field sampling. Agron. J. 85:669-672.
    • (1993) Agron. J. , vol.85 , pp. 669-672
    • Maas, S.J.1
  • 19
    • 0010726269 scopus 로고    scopus 로고
    • Integration of satellite data and model simulation in a GIS for monitoring regional evaporation and biomass production
    • Santa Fe, NM. 21-26 Jan. 2006 [CD-ROM]. The National Center for Geographic Information and Analysis, Santa Barbara, CA
    • Maas, S.J., and P.C. Doraiswamy. 1996. Integration of satellite data and model simulation in a GIS for monitoring regional evaporation and biomass production. Proc. of 3rd Int. Conf. on Integrating GIS and Environmental Modeling, Santa Fe, NM. 21-26 Jan. 2006 [CD-ROM]. The National Center for Geographic Information and Analysis, Santa Barbara, CA.
    • (1996) Proc. of 3rd Int. Conf. on Integrating GIS and Environmental Modeling
    • Maas, S.J.1    Doraiswamy, P.C.2
  • 20
    • 0024901651 scopus 로고
    • Effect of water stress on the canopy architecture and spectral indices of irrigated alfalfa
    • Moran, M.S., P.J. Pinter, Jr., B.E. Clothier, and S.G. Allen. 1989. Effect of water stress on the canopy architecture and spectral indices of irrigated alfalfa. Remote Sens. Environ. 29:251-261.
    • (1989) Remote Sens. Environ. , vol.29 , pp. 251-261
    • Moran, M.S.1    Pinter Jr., P.J.2    Clothier, B.E.3    Allen, S.G.4
  • 21
    • 0029415659 scopus 로고
    • Combining remote sensing and modeling for estimating surface evaporation and biomass production
    • Moran, M.S., S.J. Maas, and P.J. Pinter, Jr. 1995. Combining remote sensing and modeling for estimating surface evaporation and biomass production. Remote Sens. Rev. 12:335-353.
    • (1995) Remote Sens. Rev. , vol.12 , pp. 335-353
    • Moran, M.S.1    Maas, S.J.2    Pinter Jr., P.J.3
  • 22
    • 0001173789 scopus 로고
    • Season length and cultivar determine the optimum evapotranspiration deficit in cotton
    • Orgaz, F., L. Mateos, and E. Fereres. 1992. Season length and cultivar determine the optimum evapotranspiration deficit in cotton. Agron. J. 84:700-706.
    • (1992) Agron. J. , vol.84 , pp. 700-706
    • Orgaz, F.1    Mateos, L.2    Fereres, E.3
  • 23
    • 0000855550 scopus 로고
    • Distinguishing vegetation from soil background information
    • Richardson, A.J., and C.L. Wiegand. 1977. Distinguishing vegetation from soil background information. Photogram. Eng. Remote Sens. 43:1541-1552.
    • (1977) Photogram. Eng. Remote Sens. , vol.43 , pp. 1541-1552
    • Richardson, A.J.1    Wiegand, C.L.2
  • 25
    • 0000142771 scopus 로고
    • Description and performance of CERES-Wheat: A user-oriented wheat yield model
    • National Technology Information Service, Springfield, VA
    • Ritchie, X.T., and S. Otter. 1985. Description and performance of CERES-Wheat: A user-oriented wheat yield model. p. 159-175. In ARS Wheat Yield Project. ARS-38. National Technology Information Service, Springfield, VA.
    • (1985) ARS Wheat Yield Project. ARS-38 , pp. 159-175
    • Ritchie, X.T.1    Otter, S.2
  • 26
    • 0029751226 scopus 로고    scopus 로고
    • Optimization of soil-adjusted vegetation indices
    • Rondeaux, G., M. Steven, and F. Baret. 1996. Optimization of soil-adjusted vegetation indices. Remote Sens. Environ. 55:95-107.
    • (1996) Remote Sens. Environ. , vol.55 , pp. 95-107
    • Rondeaux, G.1    Steven, M.2    Baret, F.3
  • 28
    • 0028975409 scopus 로고
    • Estimating PAR absorbed by vegetation from bidirectional reflectance measurements
    • Rougean, J.-L., and P.M. Breon. 1995. Estimating PAR absorbed by vegetation from bidirectional reflectance measurements. Remote Sens. Environ. 51:375-384.
    • (1995) Remote Sens. Environ. , vol.51 , pp. 375-384
    • Rougean, J.-L.1    Breon, P.M.2
  • 30
    • 0030797188 scopus 로고    scopus 로고
    • Reproductive allocation of cotton in response to plant environmental factors
    • Sanders, V.O., M.P. Bange, and S.P. Milroy. 1997. Reproductive allocation of cotton in response to plant environmental factors. Ann. Bot. (Lond.) 80:75-81.
    • (1997) Ann. Bot. (Lond.) , vol.80 , pp. 75-81
    • Sanders, V.O.1    Bange, M.P.2    Milroy, S.P.3
  • 31
    • 0022825341 scopus 로고
    • A simple biosphere model (SiB) for use within general circulation models
    • Sellers, P.J., Y. Mintz, Y.C. Sud, and A. Dalcher. 1986. A simple biosphere model (SiB) for use within general circulation models. J. Atmos. Sci. 43:505-531.
    • (1986) J. Atmos. Sci. , vol.43 , pp. 505-531
    • Sellers, P.J.1    Mintz, Y.2    Sud, Y.C.3    Dalcher, A.4
  • 32
    • 1642465890 scopus 로고    scopus 로고
    • Biologically identified optimal temperature interactive console (BIOTIC) for managing irrigation
    • United States Patent No. 5539,637. 23 July, 1996
    • Upchurch, D.R., D.F. Wanjura, J.J. Burke, and J.R. Mahan. 1996. Biologically identified optimal temperature interactive console (BIOTIC) for managing irrigation. United States Patent No. 5539,637. 23 July, 1996.
    • (1996)
    • Upchurch, D.R.1    Wanjura, D.F.2    Burke, J.J.3    Mahan, J.R.4
  • 33
    • 26844450767 scopus 로고    scopus 로고
    • Spectral reflectance estimates of cotton biomass and yield
    • San Antonio, TX. 7-9 Jan. 2004. National Cotton Council of America, Memphis, TN
    • Wanjura, D.F., D.R. Upchurch, and S. Maas. 2004. Spectral reflectance estimates of cotton biomass and yield. Proc. Beltwide Cotton Conf., San Antonio, TX. 7-9 Jan. 2004. National Cotton Council of America, Memphis, TN.
    • (2004) Proc. Beltwide Cotton Conf.
    • Wanjura, D.F.1    Upchurch, D.R.2    Maas, S.3
  • 35
    • 0035728101 scopus 로고    scopus 로고
    • Airborne multispectral imagery for mapping variable growing conditions and yields of cotton, grain sorghum, and corn
    • Yang, C., J.M. Bradford, and C.L. Wiegand. 2001. Airborne multispectral imagery for mapping variable growing conditions and yields of cotton, grain sorghum, and corn. Trans. ASAE 44:1983-1994.
    • (2001) Trans. ASAE , vol.44 , pp. 1983-1994
    • Yang, C.1    Bradford, J.M.2    Wiegand, C.L.3
  • 36
    • 27644492977 scopus 로고    scopus 로고
    • Temporal and spatial relationships between within-field yield variability in cotton and high-spatial hyperspectral remote sensing imagery
    • Zarco-Tejada, P.J., S.L. Ustin, and M.L. Whiting. 2005. Temporal and spatial relationships between within-field yield variability in cotton and high-spatial hyperspectral remote sensing imagery. Agron. J. 97:641-653.
    • (2005) Agron. J. , vol.97 , pp. 641-653
    • Zarco-Tejada, P.J.1    Ustin, S.L.2    Whiting, M.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.