Evaluation of Ocean Color Scanner (OCS) photographic and digital data: Santa Barbara Channel test site, 29 October 1975 overflight

A summary of Ocean Color Scanner data was examined to evaluate detection and discrimination capabilities of the system for marine resources, oil pollution and man-made sea surface targets of opportunity in the Santa Barbara Channel. Assessment of the utility of OCS for the determination of sediment transport patterns along the coastal zone was a secondary goal. Data products provided 1975 overflight were in digital and analog formats. In evaluating the OCS data, automated and manual procedures were employed. A total of four channels of data in digital format were analyzed, as well as three channels of color combined imagery, and four channels of black and white imagery. In addition, 1:120,000 scale color infrared imagery acquired simultaneously with the OCS data were provided for comparative analysis purposes

Multispectral determination of soil moisture

The edited Guymon soil moisture data collected on August 2, 5, 14, 17, 1978 were grouped into four field cover types for statistical analysis. These are the bare, milo with rows parallel to field of view, milo with rows perpendicular to field of view and alfalfa cover groups. There are 37, 22, 24 and 14 observations respectively in each group for each sensor channel and each soil moisture layer. A subset of these data called the 'five cover set' (VEG5) limited the scatterometer data to the 15 deg look angle and was used to determine discriminant functions and combined group regressions

Landuse Analysis Using BASIC+ Interactive Image Processing for Teaching: A Comparison with LARSYS

Landuse analyses continue to be the medium for communicating important spatial, spectral, and temporal remote sensing concepts. Unfortunately, hardware and software constraints often limit these activities to the examination of photographic formats of remotely sensed data. Such constraints cause manual interpretation techniques to be given inordinate attention compared to digital image processing. Even when the instructor is actively involved in image processing research, batch-mode processing may dominate. Again the student is confronted with hard-copy, this time in the form of computer printouts. A more effective remote sensing education is realized if students have the opportunity to experience interactive digital image processing. To this end, BASIC+ digital image processing has been implemented at the University of California, Santa Barbara as an integral part of the Geography Department\u27s remote sensing curriculum. Students interrogate Landsat images to extract digital number (DN) values, experiment with their own preprocessing algorithms and use Boolean logic classification. Analyses are performed on a 15 x 45km coastal study area encompassing a diversity of landuses and discrimination problems. This paper first summarizes the image processing system configuration including: 1 ) Data Acquisition -SUBIMG. (select subimage from scene) 2) Preprocessing -PREPRO. (arithmetic operations, eg. ratio) -SHIFT. (edge enhancement) 3) Class Specific Processing -PTRAIN. (train on preprocessed file) -TRAIN. (train on unpreprocessed file) -TEST. (select test data) 4) Data Analysis -STATS. (parametric statistics) -HISTO. (histogram) -DIVER. (divergence) 5) Classification -PTHEME. (Boolean on preprocessed files) -THEME. (Boolean on unpreprocessed files) 6) Utility -FIXIT. (list DN values; file clean-up) -LOOKC. (grey map) The paper concludes with the results of the student landuse classification experience in the 115B remote sensing class (the second of a three course sequence). Evaluations include: 1) Student reactions and perceptions a. Innovative preprocessing to optimize classification b. The \u27real\u27 utility of remote sensing 2) Comparison of student results with LARSYS classifications using both student and researcher training and test data. Overall reactions by students and faculty indicate that the BASIC+ image processing system is effective for both educational and research purposes

Multispectral determination of soil moisture-2

Soil moisture data obtained using scatterometers, modular multispectral scanners and passive microwave radiometers were revised and grouped into four field cover types for statistical anaysis. Guymon data are grouped as alfalfa, bare, milo with rows perpendicular to the field view, and milo viewed parallel to the field of view. Dalhart data are grouped as bare combo, stubble, disked stubble, and corn field. Summary graphs combine selected analyses to compare the effects of field cover. The analysis for each of the cover types is presented in tables and graphs. Other tables show elementary statistics, correlation matrices, and single variable regressions. Selected eigenvectors and factor analyses are included and the highest correlating sensor typs for each location are summarized

Quaternary records of southwestern Illinois and adjacent Missouri.

"Reprinted 1989.""American Quaternary Association, Ninth Biennial Meeting, May 31-June 6, 1986, Champaign, Illinois."--T.p.Includes bibliographical references.continued: Stratigraphy and taphonomy of faunal sequences at Barnhart, Missouri / Russell W. Graham -- Stratified cultural and faunal horizons at Kimmswick, Missouri / R.W. Graham -- McAdams Peak Scenic Overlook / Thomas R. Styles -- The Wisconsinan Deer Plain Terrace in the lower Illinois valley / E.R. Hajic -- Pre-Wisconsin loesses and paleosois at Pancake Hollow, west-central Illinois / E.R. Hajic -- Geology and archaeology of a holocene alluvial/colluvial fan at the Koster site / Michael D. Wiant, E.R. Hajic, B.W. Styles, and T.R. Styles