Hyperspectral & Multispectral Imaging

Course Length:



This three-day class is designed for engineers, scientists and other remote sensing professionals who wish to become familiar with multispectral and hyperspectral remote sensing technology. Students in this course will learn the basic physics of spectroscopy, the types of spectral sensors currently used by government and industry, and the types of data processing used for various applications. Case studies of applications will be used throughout the course. After taking this course, students should be able to communicate and work productively with other professionals in this field. Each student will receive a complete set of notes and the textbook, Remote Sensing of the Environment, Second Edition, by John R. Jensen.

What you will learn:

  • The properties of remote sensing systems
  • How to match sensors to project applications
  • The limitations of passive optical remote sensing systems and the alternative systems that address these limitations
  • The types of processing used for classification of image data
  • Evaluation methods for spatial, spectral, temporal and radiometric resolution analysis

Course Outline:

  1. Introduction to Multispectral and Hyperspectral Remote Sensing
  2. Sensor types and characterization Design trade-off applications
  3. The Key Outline Point Goes Here, between the ’em’ tags Followed by it’s appropriate description
  4. Sensor modeling and evaluation. Spatial, spectral, and radiometric
  5. Multivariate Data Analysis. Scatterplots, impact of sensor performance on data characteristics
  6. Assessment of unique signature characteristics. Differentiation of water, vegetation, soils and urban infrastructure.
  7. LIDAR systems and applications.
  8. Hyperspectral Data Analysis. Frequency band selection and band combination assessment
  9. Matching sensor characteristics to study objectives. Sensor matching to specific application examples
  10. Classification of Remote Sensing Data. Supervised and unsupervised classification; Parametric and non-parametric classifiers
  11. Application case studies. Application examples used to illustrate principles and show in-the-field experience


REGISTRATION:  There is no obligation or payment required to enter the Registration for an actively scheduled course.   We understand that you may need approvals but please register as early as possible or contact us so we know of your interest in this course offering.

SCHEDULING:  If this course is not on the current schedule of open enrollment courses and you are interested in attending this or another course as an open enrollment, please contact us at (410)956-8805 or ati@aticourses.com. Please indicate the course name, number of students who wish to participate. and a preferred time frame. ATI typically schedules open enrollment courses with a 3-5 month lead-time.   To express your interest in an open enrollment course not on our current schedule, please email us at ati@aticourses.com.

For on-site pricing, you can use the request an on-site quote form, call us at (410)956-8805, or email us at ati@aticourses.com.




  • William Roper, P.E., holds a PhD in Environmental Engineering, Mich. State University and BS and MS in Engineering, University of Wisconsin. He has served as: Engineer Officer, US Army, Senior Manager Environmental Protection Agency, Director Corps of Engineers World-wide Civil Works Research & Development Program, Director & CEO Army Geospatial Center, Career Member Federal Senior Executive Service, Professor and Chair Dept. of Civil & Environmental Engineering Dept, George Washington University, Director, Environmental Services Dept. & Chief Environmental Officer, Arlington County and Senior Scientist at the Center for Earth Observing and Space Research.

    He is currently serving as: Research Professor, Geography and GeoInformation Science Dept. George Mason University, a Visiting Professor, Johns Hopkins University, Senior Advisor, Dawson & Associates and President & Founding Board Member, Rivers of the World Foundation and leading a number of consulting efforts with the private sector. He has also served as science and technology advisor to the National Geospatial Intelligence Agency and the National Institute of Standards and Technology.

    His research interests include remote sensing and geospatial applications, sustainable development, environmental assessment, water resource stewardship, and infrastructure energy efficiency. He teaches graduate courses in the science and technology of remote sensing and GIS applications which include the application of multispectral, hyperspectral, utraspectral and high spatial resolution imagery. He has organized and chaired multiple national and international conferences, symposia and workshops. He is an elected member of the National Academies’ Committee on Critical Transportation Infrastructure Protection, the New York Academy of Science and the. National Civil Engineering Research Council. He has also lead international research, development and assistance programs in Japan, the Peoples Republic of China, India, Ethiopia, Egypt, Brazil, United Kingdom, Russia and the Philippines. Dr. Roper is the author of four books, over 150 technical papers and scientific journal articles as well as presenting at numerous national and international forums.


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