NRME 219 Introduction to Geomatics
(4 credits, Spring Semester)
Principles and applications of geographic information systems (GIS), global positioning system (GPS), and remote sensing will be covered. Students will be provided with the scientific knowledge and technical skills needed to collect and use spatial data effectively in a Geographic Information System (GIS).
NRME 237 Introductory Remote Sensing
(3 credits, Fall Semester)
The principles of the interpretation of remote sensing imagery acquired from aircraft and satellite platforms will be studied. Various applications of remote sensing will be discussed.
NRME 238 Remote Sensing Image Processing
(3 credits, Spring Semester)
The principles of quantitative remote sensing, image processing and pattern recognition will be studied. Computer-assisted data analysis techniques will be used.
NRME 253 Introduction to Geodesy
(4 credits, Fall Semester)
Horizontal and vertical geodetic datums, proper integration of spatial information collected in disparate datums, distortions created by cartographic projections, and proper use of standard cartographic coordinate systems. Integrate measurements from opto-mechanical instruments such as total stations with Global Positioning System measurements.
(4 credits, Fall Semester)
Principles and applications of computer-assisted spatial data analysis in natural resources management. Hypothetical and actual case studies of the use of geographic information systems (GIS) to solve natural resource problems will be discussed. Raster- and vector-oriented, microcomputer-based GIS software will be applied.
NRME 352 GPS Surveying
Theory and practice of global positioning system (GPS) surveying. Includes network design, control, geodectic coordinate systems, field collection of measurements, data processing, and interpretation of results.
NRME 353 Digital Terrain Modeling
Theory and practice of digital terrain modeling. Topics include topographic surveying, topographic surface modeling, derivative estimation, and selected applications of digital terrain models.
The principles and applications of computer-assisted spatial data analysis in natural resources management will be covered. Both hypothetical and actual case studies of the use of geographic information systems (GIS) to solve natural resource problem will be discussed. Raster and vector oriented, microcomputer-based GIS software will serve as the hands-on tools for students.
Research approaches and techniques in geospatial analysis, enabling students to pursue integrated research in earth resource data geoprocessing applications. A variety of computer-based tools, including remote sensing, geographic information system (GIS), and global positioning system (GPS), will be utilized in the acquisition, analysis, and presentation of digital earth resource data and information.