CONCLUSIONS FUTURE WORK 180-191. 8-14.

the value of cognitive science topics in a remote sensing course. There is indeed an inherent value in including the topics in remote sensing courses that are shifting away from air photo interpretation; however, work should be done to tie these cognitive theories to GEOBIA practices. This is currently an active area of research for the author.

7. CONCLUSIONS

The initial offering of this course on GEOBIA to graduate students was a learning experience for both the students and the course instructor. While a formal assessment of the learning outcomes was not undertaken, the course evaluation for the course was 1.24 [1.0-highest, 5.0-lowest]. In the future, student learning outcomes will be assessed to evaluate the effectiveness of the curriculum. A second major component of these improvements will be opening up the course content for the rest of the remote sensing community.

8. FUTURE WORK

In talking with a number of members of the remote sensing community, it seems that initiatives are underway to update the BoK and the Remote Sensing Core Curriculum. Additionally, in speaking with other educators overseeing GEOBIA education, there are efforts being undertaken to develop standards for this specialty area as well. REFERENCES eCognition 9.0. Trimble Navigation, Sunnyvale, California. Blacschke, T., S. Lang G. H. Hay. 2008 Object-Based Image Analysis. In Lecture Notes in GeoInformation and Cartography . Hiedelberg, GR: Springer. Blaschke, T., G. J. Hay, M. Kelly, S. Lang, P. Hofmann, E. Addink, R. Queiroz Feitosa, F. van der Meer, H. van der Werff F. van Coillie 2014 Geographic Object- Based Image Analysis – Towards a new paradigm. ISPRS Journal of Photogrammetry and Remote Sensing,

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