The increasing availability of high-resolution satellite imagery is one of several factors that is renewing interest in teaching photo interpretation skills both in academia and in the workplace. The Aerial Photointerpretation Course, developed by the NASA-funded Geospatial Workforce Development Project at the University of Mississippi, presents an unusual opportunity to remedy the neglect of photointerpretation in many university curricula in past years. Course development in Remote Sensing and GIS within the geospatial curriculum in recent decades has diverted attention from development of original teaching materials devoted specifically to photointerpretation. This newly developed course provides the opportunity to offer students with materials that can present basic concepts in the context of current technology and resources, and current workforce needs. Course content is presented in four units: (1) History and Significance, (2) Photographic Systems, (3) The Human Dimension to Photointerpretation, and (4) Applications. The applications unit consists of several components encompassing a broad range of subject areas, from Agriculture and Forestry, to Geology and Geomorphology, and to History and Archeology. The on-line format offers opportunity to deliver a high density of visual content to students, and to increase opportunities for students to acquire first-hand experience in photointerpretation. The on-line format also offers opportunities to use a wide range of sources and activities not normally available for conventional classroom presentation.
Third generation focal plane arrays are being actively developed for the U.S. Army and other branches of the Department of Defense. The objective is to ensure that future soldiers will have superior night-fighting equipment. The requirements defined by this objective and the technology under development to support a demonstration of this capability is described. Issues associated with the development and exploitation of the high-performance cooled component of a family of third generation imager systems are discussed. Also discussed are two classes of uncooled imagers; one having high resolution and medium-high performance, and the second being very low cost.
The well-known dark-object subtraction method has formed one of the oldest and widely used procedures for adjusting digital remote sensing data for effects of atmospheric scattering. The method's limited capabilities, relative to more sophisticated methods, are at least partially offset by its wide applicability, due its requirement for little information beyond the image itself. This study examines alternative applications of the procedure to evaluate its effectiveness, using a SPOT HRV XS image of irregular terrain in southwestern Virginia and a sequence of Landsat MSS data depicting a region in south central Virginia. Assessment of the success of the adjustment is conducted using chromaticity co-ordinates (using the method of Alfoldi and Munday (1978)), from corrected values, and comparing corrections to the original data. A successful correction shifts chromaticity co-ordinates away from the equal radiance point towards the purer regions near edges of the diagram. Further, some categories, when corrected successfully, will occupy known positions within chromaticity space. Assessment of the modification proposed by Chavez (1988) was conducted by examining the effects of choosing alternative starting haze values, and effects of alternative choices for atmospheric models. One difficulty in applying the 1988 modification is that it appears to be difficult to make accurate assessments of atmospheric conditions.
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