Engineering topics

Golden, H.

Publications and source records attributed to Golden, H..

3 records

NASA NTRS1990

Evolution of Spacelab payload operations to Space Station Freedom

NASA's Office of Space Science and Applications is actively involved in the development of operational concepts and data infrastructures which will be integrated to maximize the effectiveness of Space Station Freedom (SSF) payloads. Spacelab is noted to furnish an excellent 'experience base' for SFF activities. The SSF operations/data systems will be adaptable with respect to changes in payload manifests, in facility/apparatus complexity, and in implementing technologies; they will also be capable of flexibly accommodating the expanding needs of a highly variegated community of scientific users. Flowcharts are presented for the SSF payload operations concept, its flight operational data flows, and a data-flow growth concept.

Golden, H.↗

NASA NTRS1978

Sensor needs for agricultural applications

The peculiarities of agricultural remotely sensed data requirements evoke special sensor requirements. Vegetative species do not possess significantly different spectral signature at given phases of their development cycle. Hence, the key to their discriminability is the phasing of the phenologic cycle of the subject species. Significant improvements in classification can be obtained by consistently employing multi-temporal observations taken at specific times during the year. The present approach to agricultural data processing results in extracted data equal to approximately .05% of the acquired data. This paper discusses the derivation of agricultural peculiar requirements and the benefits to the end-to-end processing system by judicial utilization and placement of key editing functions such as sample segment extraction, cloudy image removal, sample registration and the elimination of redundant data.

Golden, H.↗

NASA NTRS1978

Global crop production forecasting - A simulation analysis of the data system problems and their solutions

Alternative 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.

Golden, H.↗