{"title":"GIS-Based Gold Potential Mapping in the Muteh Deposit Area, Iran, with Respect to a New Mineralization Concept","authors":"Farid Javadnejad, B. Waldron, F. Alinia","doi":"10.1109/COMGEO.2013.31","DOIUrl":"https://doi.org/10.1109/COMGEO.2013.31","url":null,"abstract":"The Muteh deposit is a major Iranian gold mine that is located in the Sanadaj-Sirjan metallogenic zone. Gold deposition in Muteh has been previously interpreted to be Precambrian in age, but new studies propose the deposits may be younger and of late Eocene age. Therefore, geologic unit ages of and older than late Eocene are likely exploration targets for gold deposits. The focus of this study is to build a predictive model for mapping gold mineralization in the Muteh region. Based on the new gold mineralization concept in the Muteh deposits, the following conditions appear to be favorable for gold occurrence: (1) proximity to granite/leucogranite intrusive bodies as heat source, (2) presence of hydroxyl alteration minerals, (3) proximity to northeast oriented lineaments/faults, (4) presence of geochemical gold anomalies, (5) co-occurrence of gold pathfinder elements, and (6) presence of heavy mineral signatures. For this study, the potential heat sources were delineated from regional geological maps. The hydroxyl alteration minerals were extracted by applying the Crosta method on ETM+ satellite data, and the fusion of the ETM+ and DEM data was used to interpret structural features. The factor analysis on stream sediment data were utilized to reveal mineralization related geochemical anomalies. Mapping was carried out using a knowledge-based fuzzy logic overlay of evidential maps. Fuzzy scoring was assigned to different classes of evidential maps based on their favor ability in gold potential mapping. The final gold deposition potential map generated from fuzzy integration of geo-exploration dataset suggests 4.4% of the study area is favorable for gold mineralization. Known gold depositional environments were matched using the fuzzy logic approach, and one new potential gold prospect was identified.","PeriodicalId":383309,"journal":{"name":"2013 Fourth International Conference on Computing for Geospatial Research and Application","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132847641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Merrill, P. Kirshen, D. Sowers, C. Keeley, Patrick Cunningham
{"title":"Demonstrating the Utility of a New 3D Benefit: Cost Tool for Adaptation to Sea Level Rise and Storm Surge","authors":"S. Merrill, P. Kirshen, D. Sowers, C. Keeley, Patrick Cunningham","doi":"10.1109/COMGEO.2013.16","DOIUrl":"https://doi.org/10.1109/COMGEO.2013.16","url":null,"abstract":"In summer 2011 the US EPA's Climate Ready Estuaries program awarded funds to the Piscataqua Region Estuaries Partnership in coastal New Hampshire to further develop and use COAST (COastal Adaptation to Sea level rise Tool) for sea level rise adaptation planning. The New England Environmental Finance Center (EFC) worked with municipal staff, elected officials, and other stakeholders to select specific locations, vulnerable assets, and adaptation actions to model using COAST. The EFC then collected the appropriate base data layers, ran the COAST simulations, and provided visual, numeric, and presentation-based products in support of the planning processes underway in both locations. These products helped galvanize support for the adaptation planning efforts, and demonstrate utility of this new GIS based approach to community engagement for cost-benefit analysis of adaptations municipalities might take in response to sea level rise (SLR) and storm surge (SS).","PeriodicalId":383309,"journal":{"name":"2013 Fourth International Conference on Computing for Geospatial Research and Application","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114258895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Johnson-Roberson, M. Bryson, B. Douillard, O. Pizarro, Stefan B. Williams
{"title":"Out-of-Core Efficient Blending for Underwater Georeferenced Textured 3D Maps","authors":"M. Johnson-Roberson, M. Bryson, B. Douillard, O. Pizarro, Stefan B. Williams","doi":"10.1109/COMGEO.2013.3","DOIUrl":"https://doi.org/10.1109/COMGEO.2013.3","url":null,"abstract":"This paper presents a system for the creation of georeferenced 3D maps projectively textured with visual data gathered with an underwater robot. Using optical stereo cameras, maps are reconstructed and textured. Within the paper we propose a novel out-of-core 2D texture blending process that allows for high resolution texturing of complex 3D structure. Through the use of state-of-the-art model parameterization and texture at lasing the distortion of the final result can be minimized while the resolution of the original source imagery is maintained. We demonstrate both synthetic and real texturing results on 3D maps gathered with the Sirius Autonomous underwater vehicle (AUV). We discuss the implications for insufficient resolution when observing benthic features. Finally we conclude and discuss future directions for underwater 3D blending.","PeriodicalId":383309,"journal":{"name":"2013 Fourth International Conference on Computing for Geospatial Research and Application","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132362294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}