Acquisition and processing of data from the SL-2 mission (EREP pass no. 7) over the Lake Monroe, Indiana test site

There are no author-identified significant results in this report

Spectroradiometric measurements of Lake Monroe, Indiana

There are no author-identified significant results in this report

Spectroradiometric and multispectral scanner over Lake Monroe

There are no author-identified significant results in this report

Study of the utilization of EREP data from the Wabash River Basin

There are no author-identified significant results in this report

Study of the utilization of EREP data from the Wabash River Basin

The author has identified the following significant results. The analysis of the Sl/4 S192 data over Ft. Wayne, Indiana, taken on January 25, 1974 indicates that the thermal resolution of the thermal band in the X-5 detector array is of sufficient quality to distinguish factories, school houses, commercial buildings, and groups of residential houses from the cooler background surroundings. It is speculated that the higher thermal energy being radiated from these manmade buildings is due to a combination of the heat loss of the buildings and to the high solar absorption by the black tar roofs

Reformatting Skylab and MSS data over northern Indiana

There are no author-identified significant results in this report

Obtain data over four basic test areas within the Wabash Valley River Basin with emphasis on crop identification, acreage mensuration and urban studies

There are no author-identified significant results in this report

Study of the utilization of EREP data from the Wabash River Basin

There are no author-identified significant results in this report

Study of the utilization of EREP data from the Wabash River Basin

The author has identified the following significant results. Analysis of the digitized SL/4 S190A color IR photography proved very difficult. An area within Allen County, including Ft. Wayne, was studied. Eight segments of the study area were clustered separately and the cluster maps were then compared with the photography and maps available. The training areas for the land use classes were selected from the cluster maps. The separability measures (transformed divergence) of the classes indicated that many of the land use classes were not spectrally separable. The classification results bore this out. Visually the resulting classification map was poor, with 67 percent correct data. These results were of significantly lower quality than those obtained for the summertime SL/2 data near Lake Monroe, Indiana. Low contrast between land use classes during the wintertime and the limited spectral range and resolution are the major causes for the poor performance

A multilevel, multispectral data set analysis in the visible and infrared wavelength regions

There are no author-identified significant results in this report