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An initial model for estimating soybean development stages from spectral dataA model, utilizing a direct relationship between remotely sensed spectral data and soybean development stage, has been proposed. The model is based upon transforming the spectral data in Landsat bands to greenness values over time and relating the area of this curve to soybean development stage. Soybean development stages were estimated from data acquired in 1978 from research plots at the Purdue University Agronomy Farm as well as Landsat data acquired over sample areas of the U.S. Corn Belt in 1978 and 1979. Analysis of spectral data from research plots revealed that the model works well with reasonable variation in planting date, row spacing, and soil background. The R-squared of calculated U.S. observed development stage exceeded 0.91 for all treatment variables. Using Landsat data the calculated U.S. observed development stage gave an R-squared of 0.89 in 1978 and 0.87 in 1979. No difference in the models performance could be detected between early and late planted fields, small and large fields, or high and low yielding fields.
Document ID
19840030288
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Henderson, K. E.
(NASA Lyndon B. Johnson Space Center Houston, TX, United States)
Badhwar, G. D.
(NASA Johnson Space Center Houston, TX, United States)
Date Acquired
August 12, 2013
Publication Date
January 1, 1982
Subject Category
Earth Resources And Remote Sensing
Accession Number
84A13075
Distribution Limits
Public
Copyright
Other

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