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Predicting soil moisture and wheat vegetative growth from ERTS-1 imageryThe author has identified the following significant results. Study results indicate: (1) Vegetative growth was best predicted by a linear relationship between leaf area index and the radio of band 4 to band 5. All significant soil moisture effects were cancelled by the ratio. (2) Soil moisture at a depth of 0 to 15 cm, with specific soil factors, was predicted by band 4 and leaf area index with a high regression coefficient. (3) Vegetative growth, measured by leaf area index, was one of the necessary inputs in evaluating the winter wheat crop coefficient from March to maturity.
Document ID
19740019687
Acquisition Source
Legacy CDMS
Document Type
Thesis/Dissertation
Authors
Krupp, J. W.
(Kansas State Univ. Manhattan, KS, United States)
Date Acquired
August 7, 2013
Publication Date
February 5, 1974
Publication Information
Publication: Wheat: Its Water Use, Production and Disease Detection and Prediction
Subject Category
Geophysics
Accession Number
74N27800
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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