ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Volume III-6
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-6, 3–7, 2016
https://doi.org/10.5194/isprs-annals-III-6-3-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-6, 3–7, 2016
https://doi.org/10.5194/isprs-annals-III-6-3-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  06 Jun 2016

06 Jun 2016

A COGNITIVE APPROACH TO TEACHING A GRADUATE-LEVEL GEOBIA COURSE

Raechel A. Bianchetti Raechel A. Bianchetti
  • Department of Geography, Michigan State University, East Lansing, MI, USA

Keywords: GEOBIA, Education, Cognition, Open Source

Abstract. Remote sensing image analysis training occurs both in the classroom and the research lab. Education in the classroom for traditional pixel-based image analysis has been standardized across college curriculums. However, with the increasing interest in Geographic Object-Based Image Analysis (GEOBIA), there is a need to develop classroom instruction for this method of image analysis. While traditional remote sensing courses emphasize the expansion of skills and knowledge related to the use of computer-based analysis, GEOBIA courses should examine the cognitive factors underlying visual interpretation. This current paper provides an initial analysis of the development, implementation, and outcomes of a GEOBIA course that considers not only the computational methods of GEOBIA, but also the cognitive factors of expertise, that such software attempts to replicate. Finally, a reflection on the first instantiation of this course is presented, in addition to plans for development of an open-source repository for course materials.