Remote Sensing - CPS (RMS)

RMS 5105. Fundamentals of Remote Sensing. 3 Hours.

Provides an overview of remote sensing principles and their earth and environmental science applications. Covers four general categories: (1) physical processes/theories involved in remote sensing, e.g., the nature and properties of electromagnetic radiation and how it is affected by interactions with the atmosphere and earth’s surface; (2) different sensor types including optical, thermal, and microwave systems; (3) different applications of remote sensing such as land-use, land-change, vegetation, natural environmental, natural hazards, planetary environments, and military; and (4) methods of remote sensing as applied to analyzing images and extracting desired information.

RMS 5976. Directed Study. 1-4 Hours.

Offers independent work under the direction of members of the department on a chosen topic.

RMS 5978. Independent Study. 1-4 Hours.

Offers independent work under the direction of members of the department on a chosen topic.

RMS 5984. Research. 1-4 Hours.

Offers students an opportunity to conduct research under faculty supervision.

RMS 6110. Digital Image Processing. 3 Hours.

Provides an overview of the basic techniques of digital image processing, including more specialized techniques such as synthetic aperture radar (SAR) data applications for land use and land cover and 3-D topographic mapping. Offers students an opportunity to learn modern approaches to image acquisition, image enhancement, and image analysis. Uses the algorithms involved in processing remotely sensed images, including spectral and spatial enhancement, image classification and clustering, spatial analysis, and linear transformations. Utilizes a variety of data types from high to low spatial and spectral information, SAR, and elevation data. Students perform independent lab exercises in order to apply some of the techniques they learn to their own area of expertise.

RMS 6210. Technology, Operations, and Requirements for Drones, Helicopters, and Airplanes. 3 Hours.

Covers the concept of command, control, communications, computers, intelligence, surveillance, and reconnaissance (C4ISR) via drones, helicopters, or airplanes that are manned, unmanned, optionally manned, or surrogate to requirements. Offers students an opportunity to obtain an in-depth understanding of the components of a C4ISR network, the functional aspects of operations ranging from planned to immediate response, and potential future demands. Focuses on skills needed to recognize, evaluate, and develop systems and overall networks for a range of functions in the military, security, scientific, and commercial applications in government and market ventures.

RMS 6215. Unmanned Aerial Systems for Geospatial Analysts. 3 Hours.

Explores elements of unmanned aerial systems (UAS) operations significant to geospatial project management. Changes in government regulations are expanding use of UAS as imaging platforms for commercial/government applications, enhancing geospatial data collection capabilities. Topics include applications, platforms, sensors, command and control, communication data linkage, launch and recovery, and human factors relevant to geospatial project integration and management.

RMS 6220. Geographic Information Systems for Remote Sensing . 3 Hours.

Explores geographic information systems (GIS) technology for remote sensing (RS) applications with respect to how GIS offers a rich source of computational alternatives for data extraction and analysis. The fields of GIS and RS have expanded considerably over the past decade, and the world has become richer in digital geographic information. Topics and techniques covered include spatial data collection, data accuracy, cartographic principles, spatial data analysis and visualization, digital elevation models, and class maps. Offers students an opportunity to gain hands-on experience with a leading commercial GIS software package.

RMS 6230. Remote Sensing and Global Change. 3 Hours.

Analyzes various components of the Earth systems and how those components are changing. Offers students an opportunity to make extensive use of observations and measurements from space. Focuses on global environmental change and climate change, that is, on the human impact on the planet and the modification of environments by human activity. Among the topics covered are ozone, SST, glacier distribution, and terrain impacts of human activity. Requires a research paper that includes elements of remote sensing data analysis.

RMS 6240. Introduction to Radar and LIDAR Remote Sensing. 3 Hours.

Introduces the techniques and methods used in radar and Light Detection and Ranging (LIDAR) remote sensing. Covers the underlying principles of the measurement techniques and the interaction of microwaves and LIDAR signals with natural surfaces and the atmosphere. With respect to radar, the course focuses on the role of synthetic aperture radar (SAR) systems and their application to monitoring aspects of the Earth’s surface, including 3-D interpretation. With respect to LIDAR, the course introduces the different airborne and satellite systems and applications in terrestrial surfaces, principally for urban applications.

RMS 6250. Remote Sensing of Vegetation. 3 Hours.

Focuses on vegetation remote sensing, including forests and agriculture. The synoptic perspective offered by satellites allows spatial patterns of surface phenomena to be studied and maps of vegetative features extracted from these data sets, then compiled and incorporated into a geographical information system (GIS). Students analyze images in order to extract desired information. Derived products are created, such as normalized difference vegetation indices, which are used to track the length of growing seasons and vegetation health and anomalies. Examines a variety of relevant data types, including high to low spatial and spectral data. Offers students an opportunity to understand how ranks and weights are applied to these products to produce a final map that highlights specific characteristics of vegetation they choose to highlight, using map algebra techniques.

RMS 6260. Remote Sensing for Archaeology. 3 Hours.

Provides an overview of the theory, tools, and techniques used in applying the discipline of remote sensing for the purposes of archaeological research and archaeological heritage management. Covers geomatic disciplines used in archaeology, practitioners of remote sensing in archaeology, spatial fundamentals underpinning archaeological theory, types of imagery, data portals, geomatics hardware and software, imagery transformations and analysis, contextual and spatial analysis via GIS, visualization and presentation of analysis, integration of remote sensing with survey planning and documentation, and application of remote sensing for archaeological heritage management.

RMS 6270. Remote Sensing for Disaster Management. 3 Hours.

Offers students an opportunity to understand the use of spatial information in disaster management and to acquire a comprehensive overview and hands-on skills in the application of remote sensing. The course is in five modules: (1) remote sensing theory, sensor/platform combinations, spectral imaging theories, atmospheric and radiometric correction, as well as sources for data download and analysis; (2) the use of remote sensing and GIS tools for use in wildfire management; (3) the use of remote sensing for flood mapping and analysis; (4) man-made disasters, such as oil spills, and consequence management of terrorist attacks or preevent planning to mitigate effects of a terrorist attack; and (5) a final project in which students analyze a set of data and produce a final report.

RMS 6280. Automated Feature Extraction for the Geospatial Professional. 3 Hours.

Offers an introduction to machine learning and its use in image interpretation and automated feature extraction. Explores a variety of techniques and work flows associated with collecting features of interest from multiple data sources such as aerial and satellite imagery, as well as from light detection and ranging (LIDAR) and elevation data. Offers students an opportunity for hands-on experience using the software; to learn how to solve real-life problems in exercises that correspond to the concepts being introduced; and to learn how to create industry-standard products and processing models for automation. Covers the fundamentals of machine learning, supervised and unsupervised classification, hierarchical learning, postprocessing, cleanup, automation, modeling, and publication.

RMS 6290. Spectroscopic Image Analysis. 3 Hours.

Explores the various techniques and work flows associated with nonliteral imagery analysis using hyperspectral data from numerous airborne and space-borne hyperspectral imaging (HSI) sensors. The course is divided into four modules: (1) basic theoretical concepts that underpin HSI analysis; (2) data preparation and other ancillary concepts such as spectral libraries and atmospheric correction that are critical to nonliteral analysis but are preprocessing steps; (3) nonliteral exploitation techniques, covered in sufficient depth to give the students an opportunity to understand the different methods and procedures used; (4) a final project where students are expected to conduct nonliteral analysis of a hyperspectral image from pre- through postprocessing. The ENVI software system is used extensively each week.

RMS 6292. Photogrammetry and GPS. 3 Hours.

Examines the theory, tools, and techniques used within the fields of photogrammetry and GPS. Emphasizes aerial photogrammetry and its utilization of GPS as well as discusses close-range photogrammetry. Studies cameras and imaging devices, image measurements, vertical photographs, stereoscopy, image rectification, ground control and aerotriangulation, digital elevation models, topographic mapping, and more. Discussions include an introduction to the fundamentals of geodesy and the concepts and calculations common to the mapping sciences, including datums, projections, coordinate systems, and scale.

RMS 6961. Internship. 1-4 Hours.

Provides students with an opportunity for internship work. May be repeated without limit.

RMS 6962. Elective. 1-4 Hours.

Offers elective credit for courses taken at other academic institutions. May be repeated without limit.

RMS 6964. Co-op. 0 Hours.

Provides eligible students with an opportunity for work experience.

RMS 6966. Practicum. 1-4 Hours.

Provides eligible students with an opportunity for practical experience.

RMS 6970. Seminar. 1-4 Hours.

Offers an in-depth study of selected topics.

RMS 6980. Capstone. 1-4 Hours.

Offers students an opportunity to integrate their course work, knowledge, and experiences into a capstone project.

RMS 6983. Topics. 1-4 Hours.

Covers special topics in remote sensing. May be repeated without limit.

RMS 6995. Project. 1-4 Hours.

Focuses on in-depth project in which a student conducts research or produces a product related to the student’s major field. May be repeated without limit.