Global crop production forecasting - A simulation analysis of the data system problems and their solutionsAlternative data systems for a global crop production forecasting system were studied with the aid of a unique simulation facility called the Data System Dynamic Simulator (DSDS). Information system requirements were determined and compared with existing and planned data systems, and deficiencies were identified and analyzed. A first step was to determine the data load for an operational global crop production forecasting system as a function of data frequency, crop types, biophases, cloud coverage, and number of satellites. The DSDS was used to correlate the interrelated influence of orbital parameters, crop calendars, and cloud conditions to generate global data loading profiles. Some of the more important conclusions and the main features of the simulation system are presented.
Document ID
19790043281
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Golden, H. (NASA Marshall Space Flight Center Data Systems Analysis Div., Huntsville, Ala., United States)
Neiers, J. W. (General Electric Co. Huntsville, Ala., United States)