Integration of remotely sensed satellite images with a geographical information system

Integration of remotely sensed satellite images with a geographical information system

262A SITE INVESTIGATIONS:REMOTE SENSING The result of a joint venture, Tengizchevroil is using satellite images, CAD, and GPS to provide regional en...

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262A

SITE INVESTIGATIONS:REMOTE SENSING

The result of a joint venture, Tengizchevroil is using satellite images, CAD, and GPS to provide regional environmental and engineering information concerning facilities and terrain conditions across the J.V. Block. Images were acquired by Landsat MSS, TM, SPOT panchromatic, and K F A - 100 sensors from 1986 to 1993. Each o f the images contributed unique information about the area. The images were digitally enhanced and integrated with image-proeessing technology and interpretated using CAD workstations. (after Authors)

966169 Integration of remotely sensed satellite images with a geographical information system N. M. Mattikalli, B. J. Devereux & K. S. Richards, Computers & Geosciences, 21(8), 1995, pp 947-956. A new methodology is presented in this paper to integrate remotely sensed raster images with vector data in a GIS and vice versa. This methodology has been implemented successfully and demonstrated as an efficient tool for the integration of both fine and coarse resolution remotely sensed images in a GIS. (from Authors) 966170 The use of Landsat Thematic Mapper imagery for analysing lithology and structure of Korucu-Dugla area in western Turkey S. S. Nalbant & O. Alptekin, International Journal of Remote Sensing, 16(13), 1995, pp 2357-2374. A wide variety of image processing techniques including; principal component analysis, intensity-saturation-hue transformation, TM band ratios, and edge enhancement were applied to discriminate the lithologies and structure as well as associated areas of hydrotherrwl alteration. Altered areas, which have potential for minera~zation, were mapped on the constructed geological map. A number of previously unmapped faults and subunits of the formations were discriminated successfully. A lineament map and rose diagram were prepared using high-pass Laplacian filters. The rose diagram showed a good correspondence with the strike of previously mapped earthquake fault breaks. (from Authors) 966171 Possibilites et limites de l'interpretation geologique des images (SAR) ERSI (Possibilities and limitations of geological interpretation from ERS1 SAR images) J. Chorowicz & 8 others, Bulletin - Societe Francaise de Photogrammetrie et de Teledetection, 138, 1995, pp 82-95. In order to assess the possibilities and limitations of geologic and geomorphologic analysis of SAR (Synthetic Aperture Radar) ERS- 1 imagery, several examples of its interpretation are presented. The first example concerns the description of a pull-apart basin located along the Levant Fault Zone (Dead Sea Fault Zone) and shows that radar images permit a precise observation of slope angle variations. The following examples, an anticline in the Taurus belt (Turkey) and monoelinal units in the western margin of the Afar, demonstrate that slope angles may be exaggerated. Radar sensitivity to changes in soil moisture is expressed by multi-temporal images acquired over the Eygues river area (southern France), before and after the catastrophic flooding of Vaison-la-Romaine. Penetration of radar waves into sand allows the interpretation of burial structures under sands in the Tanezrouft Desert (Algeria). (from English summary) ~66172 Digital iithology mapping from airborne geophysical and remote sensing data in the Melville Peninsula, northern Canada, using a neural network approach P. An, C. F. Chung & A. N. Rencz, Remote Sensing o f Environment, 53(2), 1995, pp 76-84. Feedforward neural networks were used to identify bedrock types from satellite images and airborne geophysical data of the Melville Peninsula. The first experiment, on rock outcrop

pixels, demonstrated that more than 90°/, classification accuracy was achieved with as few as 150 training samples. The second experiment consisted of rebuilding the bedrock geology map based on all pixels (except water pixels) in the area. The results demonstrated that greater than 85% classification accuracy can be obtained with only 150 training samples. The Landsat TM data contributed to classification results only for the experiment on rock outcrop pixels. (from Authors)

966173 Spectroradiometric discrimination of laterites with principal components analysis and additive modeling L. S. Galvao, I. Vitorello & W. g. Paradella, Remote Sensing of Environment, 53(2), 1995, pp 70-75. Bidirectional reflectance factor determinations in the visible and near-infrared of mineralized laterite samples collected at the surface of the alkaline/ultramafic rocks-carbonatite complex of Maicuru, northern Brazil, were evaluated for iron, phosphate, and titanium content. Nineteen spectra were subjected to principal components analysis in order to get a better insight into the factors affecting spectral discrimination. Two major groups were identified: titanium-rich laterites and aluminum phosphate iateritcs. (from Authors) 966174 Determination of the rocks from the spectral brightness of the satellite images F. A. Usmanov & E. E. Rachimova, Earth Observation & Remote Sensing, 12(2), 1995, pp 285-299. The paper discusses the main problems of the spectrometry of rock. The method and the algorithm developed for the recognition of rocks on satellite images by using the spectral brightness of the objects are also shown. The method has been developed to generate the computer geological maps on the basis of the satellite data. (Authors) 966175 Photolineament factor: a new computer-aided method for remotely sensing the degree to which bedrock is fractured K. C. Hardcastle, Photogrammetric Engineering & Remote Sensing, 61(6), 1995, pp 739-747. Photolineaments are often utilized during exploration for groundwater resources in fractured bedrock; photolineaments are thought to denote areas where the bedrock may be relatively more fractured. It is suggested that three key characteristics can be used to rank an area's potential to store and transmit large volumes of groundwater: 1) the number of photolineaments, 2) the number of directional photolineament families, and 3) the total length of photolineaments which occur within or traverse an area of defined radius. A new computerized approach for processing the thousands of photolineaments typically collected for large study sites yields a contourable grid of photolineament factor values. (from Author)

966176 Analysis of linear features mapped in Landsat Thematic Mapper and side-looking airborne radar images of the Reno 1 ° by 2 ° quadrangle, Nevada and California: implications for mineral resource studies L. C. Rowan & T. L. Bowers, Photogrammetric Engineering & Remote Sensing, 61(6), 1995, pp 749-759. Linear tonal features, which reflect topographic and lithological differences, were mapped in Landsat Thematic Mapper and side-looking airborne radar images of the Reno 1° by 2 ° quadrangle, Nevada and California; combined into a single data set; and compared to the distribution of known Tertiary Au-Ag vein mineralization. The results show that the combined spatial resolution of the TM and SLAR images permits delineation of structures that controlled Tertiary precious-metal mineralization in this area. (from Authors)