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Estimating Emergence Date of Spring Small Grains Using Landsat Spectral Data 1
Author(s) -
Badhwar G. D.,
Thompson D. R.
Publication year - 1983
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/agronj1983.00021962007500010019x
Subject(s) - crop , phenology , hordeum vulgare , spring (device) , satellite , sowing , agronomy , field (mathematics) , remote sensing , environmental science , yield (engineering) , pixel , geography , poaceae , mathematics , biology , computer science , mechanical engineering , materials science , aerospace engineering , pure mathematics , metallurgy , computer vision , engineering
Remotely acquired data using the Landsat satellite system provide a means for initiating crop growth simulation models and crop phenology models at a field level over a large geographic area. A model based on Landsat spectral data has been developed that estimates a spectral emergence of the crop at a pixel (field) level. This spectral emergence date is evaluated using dates of planting and emergence reported by farmers for their fields of spring wheat ( Triticum aestivum L.) and barley ( Hordeum vulgare L.) located in North and South Dakota. The differences between model predicted emergence date and farmer reported is found to be 4.9 ± 7.7 days. The model can provide a means of understanding the distribution of crop emergence across all pixels of a region. This knowledge of emergence date of spring grains from satellite data provides an ability to run crop development and yield prediction models at field level.