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Global crop production forecasting data system analysisThe author has identified the following significant results. Findings led to the development of a theory of radiometric discrimination employing the mathematical framework of the theory of discrimination between scintillating radar targets. The theory indicated that the functions which drive accuracy of discrimination are the contrast ratio between targets, and the number of samples, or pixels, observed. Theoretical results led to three primary consequences, as regards the data system: (1) agricultural targets must be imaged at correctly chosen times, when the relative evolution of the crop's development is such as to maximize their contrast; (2) under these favorable conditions, the number of observed pixels can be significantly reduced with respect to wall-to-wall measurements; and (3) remotely sensed radiometric data must be suitably mixed with other auxiliary data, derived from external sources.
Document ID
19790017276
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Castruccio, P. A.
(Ecosystems International, Inc. Gambrills, MD, United States)
Loats, H. L.
(Ecosystems International, Inc. Gambrills, MD, United States)
Lloyd, D. G.
(Ecosystems International, Inc. Gambrills, MD, United States)
Date Acquired
September 4, 2013
Publication Date
January 1, 1978
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
E79-10198
ECO-1979-3
NASA-CR-161199
Report Number: E79-10198
Report Number: ECO-1979-3
Report Number: NASA-CR-161199
Accession Number
79N25447
Funding Number(s)
CONTRACT_GRANT: NAS8-32408
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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