{"id":9,"date":"2013-04-04T21:44:40","date_gmt":"2013-04-05T02:44:40","guid":{"rendered":"http:\/\/mancini.brandonu.ca\/wiseman-courses\/air-photo-remote-sensing\/"},"modified":"2026-04-08T13:46:21","modified_gmt":"2026-04-08T18:46:21","slug":"remote-sensing","status":"publish","type":"page","link":"https:\/\/people.brandonu.ca\/wiseman\/courses\/remote-sensing\/","title":{"rendered":"38\/42:353 Remote Sensing"},"content":{"rendered":"

Instructor:<\/strong>\u00a0Lecture, Dr. Dion J. Wiseman
\nOffice:<\/strong>\u00a0Brodie Room 4-07
\nOffice Hours:<\/strong> M, W, F; 11:30 am \u2013 12:30 pm; or by Appointment
\nPhone\/Text:<\/strong>\u00a0(204) 727-9774
\nEmail:<\/strong>\u00a0wiseman@brandonu.ca<\/a><\/p>\n

Course\u00a0Resources<\/h2>\n

Optional Texts:<\/strong>\u00a0all on reserve in the main library.<\/p>\n

    \n
  1. Lillesand, Thomas M.; Kiefer, Ralph W.; and Chipman, Jonathon (2008) Remote Sensing and Image Interpretation<\/em>, 6th<\/sup> New York: John Wiley and Sons.<\/li>\n
  2. Avery, Thomas E. and Berlin, Graydon L. (1992) Fundamentals of Remote Sensing and Airphoto Interpretation<\/em>, Upper Saddle River, New Jersey: Prentice Hall.<\/li>\n
  3. Paine, David P. (1981) Aerial Photography and Image Interpretation for Resource Management<\/em>. New York: John Wiley and Sons.<\/li>\n
  4. Wolf, Paul R. and DeWitt, Bon A. (2000) Elements of Photogrammetry: with applications in GIS<\/em>, 3rd<\/sup> Boston: McGraw-Hill.<\/li>\n<\/ol>\n

    Course Description<\/h2>\n

    The intent of this course is to: 1) introduce the theoretical foundations of remote sensing and 2) provide the technical expertise required to extract qualitative and quantitative information from remotely sensed imagery.\u00a0 The course is divided into three complimentary sections. The first is an introduction to the founding principles and basic elements of a complete remote sensing system, the second focuses on photographic systems, air photo interpretation, and photogrammetric techniques; and the third introduces students to UAV systems, digital multispectral imagery, and computer assisted image analysis techniques.<\/p>\n

    The laboratory component of the course will be divided into two sections.\u00a0 The first will focus on aerial photography, image interpretation, and hard\/soft-copy photogrammetric techniques.\u00a0 The second section will introduce computer assisted image analysis techniques commonly used for the extraction of thematic map information and spectral\/object-based image classification.\u00a0 Relevant techniques will be demonstrated during class time and each student will complete a practical assignment normally due at the beginning of the following lab period. This section of the course will culminate in the submission of a multipart lab project.<\/p>\n

    Grading Scheme<\/h2>\n\n\n\n\n\n\n\n\n
    Midterm<\/td>\n25\/35%*<\/sup><\/td>\n> 90%<\/td>\nA+<\/td>\n70-72%<\/td>\nB-<\/td>\n<\/tr>\n
    Final<\/td>\n25\/35%*<\/sup><\/td>\n85-89%<\/td>\nA<\/td>\n67-69%<\/td>\nC+<\/td>\n<\/tr>\n
    Labs<\/td>\n40%<\/td>\n80-84%<\/td>\nA-<\/td>\n63-66%<\/td>\nC<\/td>\n<\/tr>\n
    Bonus<\/a><\/td>\n3%<\/td>\n77-79%<\/td>\nB+<\/td>\n60-62%<\/td>\nC-<\/td>\n<\/tr>\n
    Total<\/td>\n100%<\/td>\n73-76%<\/td>\nB<\/td>\n50-59%<\/td>\nD<\/td>\n<\/tr>\n
    <\/td>\n<\/td>\n* <\/sup>variably weighted<\/td>\n< 50%<\/td>\nF<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n


    \n<\/b>Tentative Course Outline<\/h2>\n
      \n
    1. Fundamentals of Remote Sensing\n