Best Geospatial and Remote Sensoring Services Masters Programs in Minnesota

Our MS GISc program offers comprehensive courses on geographic information systems, remote sensing, GPS, spatial analysis, geospatial modeling and simulation, geodatabase, programming, web mapping, transportation analysis, and . In addition to core courses, students also can take elective courses related to their area of interest. Students will be able to enhance their geospatial technological skills and the ability to deploy such technologies to a variety of real-world problems. The thesis, APP, and coursework-only options will allow students to complete their degrees in a flexible way.

The Master of Science in Geographic Information Science (GIS) integrates the geospatial technologies of geographic information systems (GIS), remote sensing, and global positioning systems (GPS) with the professional skills of technical communications, project management, human resource management, and budgeting and economics in the workplace. These combine to create tools to implement real-world solutions to critical problems.

The program offers comprehensive courses on geographic information systems, remote sensing, GNSS, spatial analysis, geospatial modeling and simulation, geodatabase, programming, web mapping, transportation analysis, and . The thesis, APP, and course-only provide three distinct options that allow students to complete their degrees in a flexible way.

Courses taught by subject matter experts and professionals in their fields.

Applied focus that integrates courses in information technology, business, urban and regional studies, and GIS.

This course is designed to give students an of geodatabase. The course includes both lecture and lab components covering the fundamentals of geodatabase architecture design and techniques, as well as hands-on practice with computer-based software package and GIS program.

This application-oriented course aims to provide foundational knowledge on concepts, theories, techniques, and tools in the context of modeling and simulation of geographical data. Emphasis will be on popular vector and raster based models, Land Change Modeler (LCM), Artificial Neural Network (ANN), Geosimulation, Agent Based Modeling (ABM), Segregation models, Markov models, Cellular Automata (CA), Game of Life, etc. Further as part of the class project, students will have opportunities to design and implement geographical data driven spatio-temporal models. The primary software programs that will be used for the hands-on activities are ArcGIS, IDRISI TerrSet 2020, and NetLogo.

This course is designed to give students a deeper understanding of GIScience.

This course allows graduate students to develop advanced remote sensing knowledge and technology that are needed to conduct in-depth analysis and solve challenging problems. The major topics to be covered include advanced remote sensing data compositing, enhancement, data correction, data fusion, scientific analysis, and spatial modeling techniques surface reflectance and land surface temperature calculations land and water mapping and assessment remote sensing indices and applications high spatial-resolution and hyperspectral as well as RADAR, LiDAR, and UAV data processing and analysis techniques canopy biochemical characteristics and vegetation cover, biomass, and canopy structure assessment.

Discussion and analysis of contemporary issues in the field of Geographic Techniques. Designed to allow in-depth focus on current problems issues that geographers will encounter in their professional practice.

Restricted Electives, Unrestricted Electives, and Capstone Course must add up to a minimum 17 credits (Thesis Option) or a minimum 19 credits (Alternate Plan Paper Option) or a minimum 21 credits (Coursework-only Option).

This course will cover basic strategies for conducting field surveys and gathering from the real world data appropriate to mapping the earth surface. Emphasis will be upon simple but reliable techniques, ranging from compass-and-pacing to global positioning systems (GPS).

Comprehensive examination of GIS for manipulation and analysis of spatially-referenced data, including data structure and organization, input and output problems, data management, and strategies for analytical work.

This is an introductory course on theories and techniques of remote sensing. Focus will be placed on providing students with a general of the application of remote sensing to practical problems, and hands-on experiencee for image processing and analysis.

This course will introduce students to the fundamental knowledge and techniques of open-source GIS and geospatial data analysis. Students will learn the basic and advanced GIS functions in QGIS, a popular open-source GIS with advanced capabilities. The major topics that will be covered include open-source GIS data standards working with projections and available GIS data making maps in QGIS spatial and attribute data query, editing, and manipulation multi-criteria overlay analysis raster image styling and analysis 3D and terrain analysis spatial pattern analysis spatial interpolation automating map creation and complex workflows using processing models customize and extend QGIS.

Survey of theoretical frameworks for spatial analysis and geographic quantitative methods. Includes basic and advanced spatial analysis principles and methods for studying and examining spatial patterns. Designed to equip students with the knowledge and skills necessary for carrying our research projects that demand spatial point pattern analysis and analysis of areal units.

This offering will include supervised project work in raster-based and or vector-based GIS, using problems and data drawn from local or regional agencies or other professional-level organizations with whom the Geography Department maintains a relationship. Students must have completed one of the prerequisite courses, or professional-level experience.

This course teaches students to reconstruct past landscapes and identify environmental hazards related to historical land use using GIS and remote sensing software. Applications include the identification of hazardous waste sites, wetland drainage, bluff erosion and other environmental hazards relevant to local history research, environmental consulting, archaeology, resource management, real estate, planning and civil engineering. Students will learn to use and interpret historical air photos and maps, digital imagery and LiDAR in problem-solving contexts and to report research findings in effective written, graphic and verbal presentation formats used by government agencies and private consulting firms.

This course provides students as well as natural resource professionals the opportunity to develop knowledge of natural resources management based on GIS science. Detailed examples and discussions of GIS operations and analyses associated with managing natural resources are provided. Weekly labs and the final project will focus on various GIS applications in this field. For example, integrating GIS and remote sensing techniques for sustainable land development, conservation biology, forest, water, wetland, wildlife, and agriculture management. Students will also learn combine GIS concepts with GIS software skills and apply them to real-world natural resources management tasks.

In this course, instruction is provided on foundational knowledge related to cloud mapping and visualization of geographical data. In addition, primarily through ArcGIS Online cloud platform, students will be introduced to the concepts of Hosted Layers, Web Maps, Predominance Maps, Web Apps, Story Maps, Web AppBuilder, Widgets, Geodata Visualization, ArcGIS Arcade Expressions, Custom Pop-ups, 3D Mapping and Visualization, ArcGIS Scene Viewer, Visualize Temporal Change, Real-time Mapping, Mapping Internet of Things, Landsat Explorer, and Business Analyst. Cloud mapping and visualization theories and techniques are introduced through a combination of lectures, hands-on exercises, reading materials, and individual or team projects.

Foundational knowledge related to mapping and analysis of geospatial data using both open source and enterprise level Web Mapping and Web GIS platforms. Students will be introduced to the concepts of mobile GIS technologies and Web based 3D mapping.

This is an introductory course of GIS programming. It consists of lecture and laboratory components covering fundamentals of GIS programming concepts and techniques, as well as hands-on practice with Model builder and Python supported by ESRI'S ArcGIS platforms.

Required of MS professional degree candidates. To acquaint students with the geographer perspective and methods of inquiry to examine types of geographic research to develop student ability in producing research papers to give students experience in writing research papers and to provide students experience in professional oral presentation.

The history and development of geographic thought from ancient times to the late 20th century.

This course surveys various environmental issues within the United States with an emphasis on state and federal legislation and policies. The forces prompting environmental legislation, its subsequent implementation and modification by the courts, and various perspectives the problems, their possible solutions, and the assessment of current efforts are discussed.

Restricted Electives, Unrestricted Electives, and Capstone Course must add up to a minimum 17 credits (Thesis Option) or a minimum 19 credits (Alternate Plan Paper Option) or a minimum 21 credits (Coursework-only Option). GEO 694 is for Alternate Plan Paper Option students who plan to complete a research project based on their coursework or internship. GEO 679 is for Coursework-only Option students who plan a career in business or industry. Choose GEOG 699 or GEOG 694 or GEOG 679.

GIS Practicum course is specifically designed to fulfil the capstone requirement of MS GISc coursework-only option. The course builds upon concepts, theories, and tools presented in other MS GISc classes. This course focuses on project management, data models, advanced geo-processing tools, GIS modeling and simulation, and scenario-based GIS solutions. In this course, students will plan, design, and implement an applied GIS project in collaboration with professional organizations.