Overview of the 2017 11th Southern Forestry and Natural Resources GIS Conference
Schlagwörter:
Symposium Proceedings, SOFOR GIS, Geographic Information Systems, Remote Sensing, Spatial In-formation Technologies.Abstract
This is a brief overview of the 11th Southern Forestry and Natural Resources GIS Conference (SOFOR GIS) and associated with it current submissions to this Special Section dedicated to the series of these repeated biannually SOFOR GIS conferences. In the current issue we have in this section two papers from this conference, one Research Summary of a Presentation, and two Research Summaries of Posters.Literaturhinweise
Anderson, M. & Crosby, M. 2018. An Assessment of Invasive Plants on Shorter University’s Campus. Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS), 10(1):24–29. Retrieved from mcfns.net/index.php/Journal/article/view/10.6/2018.6
Bettinger, P., & Hubbard, W. 2010. The 2009 Southern Forestry and Natural Resources GIS Conference. Mathematical and Computational Forestry & Natural-Resource Sciences MCFNS), 2(2):135–137. Retrieved from mcfns.net/index.php/Journal/article/view/MCFNS.2-135
Bettinger, P., & Merry, K. 2014. A Brief Overview of the 9th Southern Forestry and Natural Resources GIS Conference. Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS), 6(2):62–64. Retrieved from mcfns.net/index.php/Journal/article/view/6 62
Bettinger, P., & Merry, K. 2018. Follow-up Study of the Importance of Mapping Technology Knowledge and Skills for Entry-Level Forestry Job Positions, as Deduced from Recent Job Advertisements. Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS), 10(1):15–23. Retrieved from mcfns.net/index.php/Journal/article/view/10.5/2018.5
Bettinger, P., Merry, K., & Cieszewski, C. 2016. The Importance of Mapping Technology Knowledge and Skills for Students Seeking Entry-Level Forestry Positions: Evidence from Job Advertisements. Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS), 8(1):14–24. Retrieved from mcfns.net/index.php/Journal/article/view/MCFNS.8.14
Obata, S. 2018. Estimation of Forest Stand Disturbance through Implementation of Vegetation Change Tracker Algorithm Using Landsat Time Series Stacked Imagery in Coastal Georgia (Poster Research Summary). Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS), 10(1):32–32. Retrieved from mcfns.net/index.php/Journal/article/view/10.9/2018.9
Popal, S. 2018. Object-Based Forest Cover Change Mapping using Remote Sensing in Nuristan Province, Afghanistan (Poster Research Summary). Mathematical and Computational Forestry & Natural Resource Sciences (MCFNS), 10(1):31–31. Retrieved from mcfns.net/index.php/Journal/article/view/10.8/2018.8
Zhang, S. 2018. Geospatial Assessment of Potential American Chestnut (Castanea Dentata) Reestablishment (Presentation Research Summary). Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS), 10(1):30–30. Retrieved from mcfns.net/index.php/Journal/article/view/10.7/2018.7
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