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Whitman, R. I.

Publications and source records attributed to Whitman, R. I..

10 records
All sourcesNASA NTRSDOE OSTI
NASA NTRS1978

LACIE (Large Area Crop Inventory Experiment) Programme

Large Area Crop Inventory Experiment was a three year experiment conducted jointly by the United States Department of Agriculture, NASA, and NOAA (National Oceanic and Atmospheric Administration) to determine if global wheat production can be forecast from LANDSAT data to within 90% of actual yield for each observed 9 years out of 10. Data for the third crop year (1976-1977) was compiled. The proportional area of cultivated land devoted to wheat was estimated based on a statistical sampling of LANDSAT data. Yield is presently estimated by NOAA using regression models developed from historical weather and yield information. Results are discussed.

Whitman, R. I.↗
NASA NTRS1978

The LANDSAT program: The present and prospects

The LANDSAT program is described and the benefits derived from it are pointed out. The successive LANDSAT launchings and its respective equipment are discussed. The earth's surface covering, the techniques of relaying the information to the ground, a description of the LANDSAT D system, a comparison between the multispectral scanner on LANDSAT C and the MSS on LANDSAT D, and information about the regions of the electromagnetic spectrum covered by LANDSAT C and LANDSAT D are discussed.

Whitman, R. I.↗
NASA NTRS1973

Textural signatures for wetland vegetation

This investigation indicates that unique textural signatures do exist for specific wetland communities at certain times in the growing season. When photographs with the proper resolution are obtained, the textural features can identify the spectral features of the vegetation community seen with lower resolution mapping data. The development of a matrix of optimum textural signatures is the goal of this research. Seasonal variations of spectral and textural features are particularly important when performing a vegetations analysis of fresh water marshes. This matrix will aid in flight planning, since expected seasonal variations and resolution requirements can be established prior to a given flight mission.

Whitman, R. I.↗