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Estimating Development Stages of Corn from Spectral Data — An Initial Model 1
Author(s) -
Badhwar G. D.,
Henderson K. E.
Publication year - 1981
Publication title -
agronomy journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.752
H-Index - 131
eISSN - 1435-0645
pISSN - 0002-1962
DOI - 10.2134/agronj1981.00021962007300040043x
Subject(s) - stage (stratigraphy) , crop , environmental science , estimation , population , remote sensing , agronomy , mathematics , geography , engineering , geology , biology , paleontology , demography , systems engineering , sociology
When applying remote sensing technology to crop area estimation or crop condition assessment, a knowledge of the crop development stage at the time the remotely sensed data is acquired is important. In addition to historical statistics and weather driven development stage models, remotely sensed spectral data provides a potential tool for estimation of crop development stage. A model based upon spectral data should also provide advantages in terms of simplicity, timeliness, and applicability to areas as small as individual fields. In this investigation, a model for determining development stage of corn ( Zea mays L.) from spectral measurements in the four Landsat bands of 0.5 to 0.6, 0.6 to 0.7, 0.7, to 0.8, and 0.8 to 0.11