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Volumn 65, Issue 3, 2001, Pages 869-878

Five geostatistical models to predict soil salinity from electromagnetic induction data across irrigated cotton

Author keywords

[No Author keywords available]

Indexed keywords

COTTON; IRRIGATION; MATHEMATICAL MODELS; SALINITY MEASUREMENT; STATISTICAL METHODS;

EID: 0034977135     PISSN: 03615995     EISSN: None     Source Type: Journal    
DOI: 10.2136/sssaj2001.653869x     Document Type: Review
Times cited : (184)

References (37)
  • 3
    • 0018921952 scopus 로고
    • Optimal interpolation and isarithmic mapping of soil properties, I. The semivariogram and punctual kriging
    • (1980) J. Soil Sci. , vol.31 , pp. 315-331
    • Burgess, T.M.1    Webster, R.2
  • 16
    • 0028806808 scopus 로고
    • Spatial prediction of soil salinity using electromagnetic induction techniques 2. An efficient spatial sampling algorithm suitable for multiple linear regression model identification and estimation
    • (1995) Water Resour. Res. , vol.31 , pp. 387-398
    • Lesch, S.M.1    Strauss, D.J.2    Rhoades, J.D.3
  • 35
    • 0025586634 scopus 로고
    • A comparison of kriging, cubic splines and classification for predicting soil properties from sample information
    • (1990) J. Soil Sci. , vol.41 , pp. 473-490
    • Voltz, M.1    Webster, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.