ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-6, 3-7, 2016
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-6/3/2016/
doi:10.5194/isprs-annals-III-6-3-2016
 
06 Jun 2016
A COGNITIVE APPROACH TO TEACHING A GRADUATE-LEVEL GEOBIA COURSE
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.
Conference paper (PDF, 689 KB)


Citation: Bianchetti, R. A.: A COGNITIVE APPROACH TO TEACHING A GRADUATE-LEVEL GEOBIA COURSE, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-6, 3-7, doi:10.5194/isprs-annals-III-6-3-2016, 2016.

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