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The position shall assist in evaluating and applying new remote sensing and associated technologies (e.g., new sensors and platforms, software technologies, data processing and analysis methods, data mining, geospatial modeling, UAV data extraction and interpretation, etc.
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Familiarity with remote sensing principles, satellite imagery, aerial photography, LiDAR, and experience with such data collection, manipulation, and distribution. Manage the Agency's remote sensing data, including LiDAR, satellite imagery, and bi-annual collection of aerial imagery.
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Bachelors Degree in geography, remote sensing, or imagery analysis or military equivalent; Additional experience can be substituted for education. Formal military analysis training completion or equivalent civilian Remote Sensing Certification(s.
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Master’s Degree (MS) in Computer Science, Geography, Natural Resources or Wildlife Biology with emphasis in GIS and Remote Sensing or in a closely related field. Bachelor’s degree from an accredited college or university with major course work in Information Technology, Computer Science, Geographic Information Systems, Remote Sensing, Wildlife Management, Wildlife Ecology, Geography or a closely related field.
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Specifically, the Human Geographer - Researcher will leverage their advanced knowledge and experience with digital cartography, computer technology, Geographical Information Systems (GIS), Cartographic and Geospatial production techniques, remote sensing, photogrammetry, and digital data formats to extract relevant information and develop geospatial intelligence reports and products for the customer.
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The Human Geographer- Researcher will serve as a regional subject matter expert on issues related to human geography, socio-cultural analysis, and geospatial analysis in support of the Intelligence Community (IC.
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Expertise in a sub-discipline of forest geospatial analysis such as remote sensing, forests/water systems, forests/tree health, forest assessment, or land use/land cover change (LULCC.
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Our areas of expertise include soil science, water quality and demand evaluation and management, data science, agricultural systems, salinity and nutrient management, ecosystem restoration, geostatistics, remote sensing, geospatial analysis, and regulatory policy.
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The successful candidate will be responsible for working with our agricultural and environmental teams as well as our geospatial and development team comprised of remote sensing/GIS specialists, data scientists, and web-based developers.
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Expertise with technological advances, principles, techniques, and practices of land surveying and other geospatial/remote sensing services. Prepare, instruct and coordinate the work of field staff performing surveying and geospatial services on assigned projects.
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Relevant qualification in Geography, Geomatics, Geospatial Sciences, GIS, Remote Sensing, or a related field. Woolpert Africa, based in Johannesburg and Cape Town, South Africa, offers extensive high accuracy lidar, imagery and remote sensing experience, as well as airborne topographic, hyper spectral, and thermal survey and mapping.
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Proficiency with digital cartography, image processing, computer technology, geographical information systems (GIS), geospatial production techniques, remote sensing, and photogrammetry.
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The qualified candidate will work with a multidisciplinary team that is integrating remote sensing, GIS, laboratory studies of plant flammability properties, climate patterns, fire weather and the social, economic and demographic aspects of risk to improve community resilience in the presence of wildfire.
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Exemplify a commitment to excellence in research, operations, and community engagement, and work cooperatively to leverage scientific capabilities across ORNL. Work in a highly collaborative environment with data scientists, machine learning scientists, remote sensing scientists, HPC engineers, and geographers to deliver research and development prototypes.
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Expertise in photogrammetry, remote sensing, image processing, or regional expertise is also desirable. Proficiency with ArcGIS, ArcSDE, ArcView, ArcIMS, ArcTools, the Integrated Exploitation Capability (IEC) system, SocetSet, TerraExplorer/Builder, RemoteView, ERDAS IMAGINE, MRSID, VB/VBA (or some other object-oriented programming/scripting language), Oracle and other appropriate software to analyze geospatial data.
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