There are no author-identified significant results in this report. This report deals with the selection of the best channels from the 24-channel aircraft data to represent crop and soil conditions. A three-step procedure has been developed that involves using univariate statistics and an F-ratio test to indicate the best 14 channels. From the 14, the 10 best channels are selected by a multivariate stochastic process. The third step involves the pattern recognition procedures developed in the data analysis plan. Indications are that the procedures in use are satsifactory and will extract the desired information from the data
Research results and accomplishments of sixteen tasks in the following areas are described: (1) corn...
The author has identified the following significant results. Photo-interpretive methods have been us...
The author has identified the following significant results. Reflectance differences between the dea...
The author has identified the following significant results. Bands 4, 5, and 7 and 5, 6, and 7 were ...
The author has identified the following significant results. The Kubelka-Munk model, a regression mo...
The author has identified the following significant results. A ratio of MSS channels 5 and 7 (5/7) a...
The author has identified the following significant results. Reflectance of crop residues, that are ...
The author has identified the following significant results. The ability to read the 24-channel MSS ...
Aircraft multispectral scanner (MSS) data collected by the NASA 24-channel MSS on July 26, 1972 (Mis...
Aircraft multispectral scanner (MSS) data collected by the NASA 24-channel MSS on July 26, 1972 (Mis...
The author has identified the following significant results. Iron deficient and normal grain sorghum...
The author has identified the following significant results. A study was conducted in a 340-acre (13...
The author has identified the following significant results. An unsupervised classification was run ...
The author has identified the following significant results. Multispectral scanner data obtained by ...
The applications of remote sensing techniques to spectral surveys of irrigation, crops, and soils ar...
Research results and accomplishments of sixteen tasks in the following areas are described: (1) corn...
The author has identified the following significant results. Photo-interpretive methods have been us...
The author has identified the following significant results. Reflectance differences between the dea...
The author has identified the following significant results. Bands 4, 5, and 7 and 5, 6, and 7 were ...
The author has identified the following significant results. The Kubelka-Munk model, a regression mo...
The author has identified the following significant results. A ratio of MSS channels 5 and 7 (5/7) a...
The author has identified the following significant results. Reflectance of crop residues, that are ...
The author has identified the following significant results. The ability to read the 24-channel MSS ...
Aircraft multispectral scanner (MSS) data collected by the NASA 24-channel MSS on July 26, 1972 (Mis...
Aircraft multispectral scanner (MSS) data collected by the NASA 24-channel MSS on July 26, 1972 (Mis...
The author has identified the following significant results. Iron deficient and normal grain sorghum...
The author has identified the following significant results. A study was conducted in a 340-acre (13...
The author has identified the following significant results. An unsupervised classification was run ...
The author has identified the following significant results. Multispectral scanner data obtained by ...
The applications of remote sensing techniques to spectral surveys of irrigation, crops, and soils ar...
Research results and accomplishments of sixteen tasks in the following areas are described: (1) corn...
The author has identified the following significant results. Photo-interpretive methods have been us...
The author has identified the following significant results. Reflectance differences between the dea...