메뉴 건너뛰기




Volumn 25, Issue 13, 2004, Pages 2575-2584

Band selection for analysing wheat water status under field conditions using relative depth indices (RDI)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; DATA ACQUISITION; IRRIGATION; PARAMETER ESTIMATION; REFLECTION; SPECTRUM ANALYSIS;

EID: 3042781539     PISSN: 01431161     EISSN: None     Source Type: Journal    
DOI: 10.1080/01431160310001618419     Document Type: Article
Times cited : (10)

References (12)
  • 1
    • 0001765127 scopus 로고
    • Factors affecting the spectral properties of leaves with special emphasis on leaf water status
    • CARLSON, R. E., YARGER, D. N., and SHAW, R. H., 1971, Factors affecting the spectral properties of leaves with special emphasis on leaf water status. Agronomy Journal, 63, 486-489.
    • (1971) Agronomy Journal , vol.63 , pp. 486-489
    • Carlson, R.E.1    Yarger, D.N.2    Shaw, R.H.3
  • 5
    • 0024856777 scopus 로고
    • Detection of changes in leaf water content using near- and middle-infrared reflectance
    • HUNT, E. R., JR., and BARRETT, N. R., 1989, Detection of changes in leaf water content using near- and middle-infrared reflectance. Remote Sensing of Environment, 30, 43-54.
    • (1989) Remote Sensing of Environment , vol.30 , pp. 43-54
    • Hunt Jr., E.R.1    Barrett, N.R.2
  • 6
    • 0036156499 scopus 로고    scopus 로고
    • Use of spectral radiance to estimate in-season biomass and grain yield in nitrogen- and water-stressed corn
    • OSBORNE, S. L., SCHEPERS, J. S., FRANCIS, D. D., and SCHLEMMER, M. R., 2002, Use of spectral radiance to estimate in-season biomass and grain yield in nitrogen- and water-stressed corn. Crop Science, 42, 165-171.
    • (2002) Crop Science , vol.42 , pp. 165-171
    • Osborne, S.L.1    Schepers, J.S.2    Francis, D.D.3    Schlemmer, M.R.4
  • 8
    • 0344631720 scopus 로고    scopus 로고
    • Reflectance indices indicative of changes in water and pigment contents of peanut and wheat leaves
    • PENUELAS, J., and INOUE, Y., 1999, Reflectance indices indicative of changes in water and pigment contents of peanut and wheat leaves. Photosynthetica, 36, 355-360.
    • (1999) Photosynthetica , vol.36 , pp. 355-360
    • Penuelas, J.1    Inoue, Y.2
  • 9
    • 0032109024 scopus 로고    scopus 로고
    • Processing of high spectral resolution reflectance data for the retrieval of canopy water information
    • ROLLIN, M. E., and MILTON, E. J., 1998, Processing of high spectral resolution reflectance data for the retrieval of canopy water information. Remote Sensing of Environment, 65, 86-92.
    • (1998) Remote Sensing of Environment , vol.65 , pp. 86-92
    • Rollin, M.E.1    Milton, E.J.2
  • 10
    • 0033970477 scopus 로고    scopus 로고
    • Hyperspectral vegetation indices and their relationships with agricultural crop characteristics
    • THENKABAIL, P. S., SMITH, R. B., and PAUW, E. D., 2000, Hyperspectral vegetation indices and their relationships with agricultural crop characteristics. Remote Sensing of Environment, 71, 158-182.
    • (2000) Remote Sensing of Environment , vol.71 , pp. 158-182
    • Thenkabail, P.S.1    Smith, R.B.2    Pauw, E.D.3
  • 11
    • 0035008979 scopus 로고    scopus 로고
    • A feasibility study on diagnosing wheat water status using spectral reflectance
    • TIAN, Q. J., GONG, P., ZHAO, C. J., and GUO, X. W., 2001a, A feasibility study on diagnosing wheat water status using spectral reflectance. Chinese Science Bulletin, 46, 666-669.
    • (2001) Chinese Science Bulletin , vol.46 , pp. 666-669
    • Tian, Q.J.1    Gong, P.2    Zhao, C.J.3    Guo, X.W.4
  • 12
    • 0035882581 scopus 로고    scopus 로고
    • Spectroscopic determination of wheat water status using 1650-1850 nm spectral absorption features
    • TIAN, Q., TONG, Q., PU, R., GUO, X., and ZHAO, C., 2001b, Spectroscopic determination of wheat water status using 1650-1850 nm spectral absorption features. International Journal of Remote Sensing, 22, 2329-2338.
    • (2001) International Journal of Remote Sensing , vol.22 , pp. 2329-2338
    • Tian, Q.1    Tong, Q.2    Pu, R.3    Guo, X.4    Zhao, C.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.